{
  "schemaVersion": "deck-intelligence.v1",
  "id": "019dd923-5ca1-7489-b636-83d9001ae71a",
  "slug": "1f4828d675dd67cf",
  "title": "Insights from the leading edge of generative AI adoption",
  "subtitle": "Deloitte",
  "author": "Deloitte",
  "pageCount": 34,
  "kind": "consulting-deck",
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "document": {
    "id": "019dd923-5ca1-7489-b636-83d9001ae71a",
    "slug": "1f4828d675dd67cf",
    "title": "Insights from the leading edge of generative AI adoption",
    "rawTitle": "Insights from the leading edge of generative AI adoption",
    "authorId": "Deloitte",
    "authorName": "Deloitte",
    "authorDisplay": "Deloitte",
    "kind": {
      "slug": "consulting-deck",
      "label": "Consulting deck"
    },
    "sourceType": {
      "slug": "strategy_consulting",
      "label": "Strategy consulting"
    },
    "fileName": "Insights-from-the-leading-edge-of-generative-AI-adoption.pdf",
    "sourceUrl": "https://www2.deloitte.com/content/dam/Deloitte/us/Documents/consulting/us-state-of-gen-ai-report.pdf",
    "sourceDate": "2024-01-15 00:00:00",
    "presentationDate": null,
    "ingestedAt": "2026-04-23 20:51:33+00",
    "status": "ready",
    "pageCount": 34,
    "orientation": "landscape",
    "aspectRatio": 1.778,
    "targetCompany": null,
    "targetTicker": null,
    "metadata": {
      "local_root": "/tmp/legacy-images/1f4828d675dd67cf",
      "origin_corpus": "consulting"
    }
  },
  "coverage": {
    "pageCount": 34,
    "pagesIndexed": 34,
    "pagesWithImages": 34,
    "pagesWithMetadata": 34,
    "imageCoveragePct": 100,
    "metadataCoveragePct": 100,
    "componentCount": 234,
    "chartCount": 13,
    "metricSlides": 18,
    "toolMatches": 15,
    "documentToolMatches": 0,
    "frameworkMatches": 1,
    "arcMatches": 1,
    "beatMatches": 5,
    "loopMatches": 2,
    "patternMatches": 0,
    "storymakersMatch": false,
    "scoreAvailable": true,
    "reviewAvailable": true,
    "activistThesisAvailable": false,
    "pitchdeckMetadataAvailable": false,
    "pitchdeckProfileAvailable": false
  },
  "blocks": [],
  "matches": {
    "arcs": [
      {
        "arc": {
          "name": "The Consultant's Gambit",
          "slug": "consultants-gambit",
          "status": "active",
          "bestFor": "Business cases, project proposals, strategic recommendations",
          "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
        "evidence": "The deck follows a structured approach: situation/context, problem/complication, solution/approach, evidence/proof, impact/next steps",
        "isPrimary": true,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-16 21:04:43.097742+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": "doc-narrative-v1"
        }
      }
    ],
    "beats": [
      {
        "to": 4,
        "arc": {
          "name": "The Consultant's Gambit",
          "slug": "consultants-gambit",
          "status": "active",
          "bestFor": "Business cases, project proposals, strategic recommendations",
          "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "from": 1,
        "name": "Situation & Context",
        "beatId": "c3376079-682e-4aba-b976-2146cc73277d",
        "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
        "beatType": {
          "name": "Situation & Context",
          "slug": "consultants-gambit-situation-context",
          "status": "active",
          "canonId": "019dd9b8-05ae-741b-992d-65ee83c639b3",
          "version": 1,
          "description": null
        },
        "evidence": "Cover, table of contents, executive summary, and transition slides",
        "position": 0,
        "isPrimaryArc": true,
        "parentBeatType": {
          "name": "Setup",
          "slug": "setup",
          "status": "active",
          "canonId": "019dd9b8-020e-7505-af9b-d9b9a4679bcc",
          "version": 1,
          "description": "Where the deck grounds the reader before doing anything else. Almost every arc opens here."
        },
        "alignedBlockIds": null,
        "matchConfidence": 0.8
      },
      {
        "to": 12,
        "arc": {
          "name": "The Consultant's Gambit",
          "slug": "consultants-gambit",
          "status": "active",
          "bestFor": "Business cases, project proposals, strategic recommendations",
          "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "from": 7,
        "name": "Problem & Complication",
        "beatId": "ba081b17-b42a-4a37-bffd-5f304612c26b",
        "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
        "beatType": {
          "name": "Problem & Complication",
          "slug": "consultants-gambit-problem-complication",
          "status": "active",
          "canonId": "019dd9b8-064a-777f-a374-e9a8c43dedd4",
          "version": 1,
          "description": null
        },
        "evidence": "Key takeaways on generative AI expertise, emotions, and pressures",
        "position": 1,
        "isPrimaryArc": true,
        "parentBeatType": {
          "name": "Complication",
          "slug": "complication",
          "status": "active",
          "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579",
          "version": 1,
          "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs."
        },
        "alignedBlockIds": null,
        "matchConfidence": 0.8
      },
      {
        "to": 20,
        "arc": {
          "name": "The Consultant's Gambit",
          "slug": "consultants-gambit",
          "status": "active",
          "bestFor": "Business cases, project proposals, strategic recommendations",
          "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "from": 13,
        "name": "Evidence & Proof",
        "beatId": "1a670dc9-17c6-4a45-80e7-2c0b658fed5b",
        "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
        "beatType": {
          "name": "Evidence & Proof",
          "slug": "consultants-gambit-evidence-proof",
          "status": "active",
          "canonId": "019dd9b8-07b1-7688-8e1e-7637fec3802a",
          "version": 1,
          "description": null
        },
        "evidence": "Data tables, industry trends, and risk register",
        "position": 2,
        "isPrimaryArc": true,
        "parentBeatType": {
          "name": "Evidence",
          "slug": "evidence",
          "status": "active",
          "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a",
          "version": 1,
          "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development."
        },
        "alignedBlockIds": null,
        "matchConfidence": 0.8
      },
      {
        "to": 30,
        "arc": {
          "name": "The Consultant's Gambit",
          "slug": "consultants-gambit",
          "status": "active",
          "bestFor": "Business cases, project proposals, strategic recommendations",
          "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "from": 26,
        "name": "Solution & Approach",
        "beatId": "347579cd-29db-4f88-ac37-0e7755a1c385",
        "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
        "beatType": {
          "name": "Solution & Approach",
          "slug": "consultants-gambit-solution-approach",
          "status": "active",
          "canonId": "019dd9b8-071c-7161-9184-580fdac7a4f9",
          "version": 1,
          "description": null
        },
        "evidence": "Thesis headline, next steps, and looking ahead slides",
        "position": 3,
        "isPrimaryArc": true,
        "parentBeatType": {
          "name": "Turn",
          "slug": "turn",
          "status": "active",
          "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54",
          "version": 1,
          "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat."
        },
        "alignedBlockIds": null,
        "matchConfidence": 0.8
      },
      {
        "to": 34,
        "arc": {
          "name": "The Consultant's Gambit",
          "slug": "consultants-gambit",
          "status": "active",
          "bestFor": "Business cases, project proposals, strategic recommendations",
          "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "from": 25,
        "name": "Impact & Next Steps",
        "beatId": "b33a4a16-a861-46d5-902e-1a7d1262af8b",
        "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
        "beatType": {
          "name": "Impact & Next Steps",
          "slug": "consultants-gambit-impact-next-steps",
          "status": "active",
          "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655",
          "version": 1,
          "description": null
        },
        "evidence": "Conclusion, appendix, and disclosure slides",
        "position": 4,
        "isPrimaryArc": true,
        "parentBeatType": {
          "name": "Resolution",
          "slug": "resolution",
          "status": "active",
          "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b",
          "version": 1,
          "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution."
        },
        "alignedBlockIds": null,
        "matchConfidence": 0.8
      }
    ],
    "loops": [
      {
        "to": 22,
        "from": 11,
        "loop": {
          "name": "27_cost_of_inaction",
          "slug": "27-cost-of-inaction",
          "status": "active",
          "bestFor": "Urgent budget requests, compliance, risk mitigation",
          "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
          "version": 1,
          "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
          "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
          "description": "Quantify what happens if the audience does nothing",
          "familyLabel": null,
          "categoryName": "Urgency",
          "categorySlug": "urgency"
        },
        "matchId": "8dd0f86a-2675-4c7a-b842-0728e098e8e2",
        "evidence": "Slides discussing current efforts, societal impacts, and leader concerns",
        "position": 0,
        "objective": "Highlighting the risks of not adopting generative AI",
        "confidence": 0.6,
        "extraction": {
          "at": "2026-07-16 21:04:43.285994+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": "doc-narrative-v1"
        }
      },
      {
        "to": 20,
        "from": 14,
        "loop": {
          "name": "28_ladder_abstraction",
          "slug": "28-ladder-abstraction",
          "status": "active",
          "bestFor": "Training, thought leadership, making complex ideas accessible",
          "canonId": "019dd956-7130-74be-a168-9f76c603044d",
          "version": 1,
          "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
          "structure": "The Concrete Example -> The Pattern It Represents -> The Universal Principle -> Back to Specific Application",
          "description": "Move between concrete examples and abstract principles to make ideas stick",
          "familyLabel": null,
          "categoryName": "Explanation",
          "categorySlug": "explanation"
        },
        "matchId": "a8072f27-eff0-49bb-9470-efca58d935fc",
        "evidence": "Slides on off-the-shelf solutions, talent, governance, and risk",
        "position": 1,
        "objective": "Showing the complexity of generative AI adoption",
        "confidence": 0.6,
        "extraction": {
          "at": "2026-07-16 21:04:43.318224+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": "doc-narrative-v1"
        }
      }
    ],
    "tools": [
      {
        "tool": {
          "name": "Audience Definition",
          "slug": "audience-definition",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756",
          "version": 1,
          "bodyDocId": null,
          "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "af0c014d-0668-4ca5-b433-26953653c5fc",
        "evidence": "Nearly two-thirds (62%) of the business and technology leaders surveyed reported excitement as a top sentiment with regard to generative AI; however, that excitement was tinged with uncertainty (30%)",
        "pageRefs": null,
        "priority": "Core",
        "whenToUse": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-16 21:10:27.8283+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 7,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Pyramid Principle",
          "slug": "pyramid-principle",
          "status": "active",
          "bestFor": "When the document has a single governing decision or recommendation the reader is asked to accept, and the case can be decomposed into a small number of clean groups. Strategy decks, board memos, investment committee papers.",
          "canonId": "019dd956-7cbd-7219-a477-c871e2bc1aff",
          "version": 1,
          "bodyDocId": "88b6ac56-b880-46f9-8621-ef3491ab6235",
          "description": "Lead with the answer; group three to five MECE supports beneath it; recurse one level down. Top-down hierarchical structure for any document with a single recommendation.",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Architect",
        "layer": "slide",
        "agents": [
          "Architect"
        ],
        "matchId": "5e853c8e-689b-4718-b5ad-70e0bc6601d6",
        "evidence": "the survey results suggest that many AI-fueled organizations are on the verge of scaling up their efforts and embracing generative AI in a more substantial way.",
        "pageRefs": null,
        "priority": "Core",
        "whenToUse": "When the document has a single governing decision or recommendation the reader is asked to accept, and the case can be decomposed into a small number of clean groups. Strategy decks, board memos, investment committee papers.",
        "confidence": 0.6,
        "extraction": {
          "at": "2026-07-16 21:10:27.86782+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 7,
        "whyItWorks": "Solves the two failure modes of expert communication at once: (1) the long climb where readers wait pages for the answer, and (2) logical mush from non-MECE groupings. Progressive disclosure lets a reader stop at any depth and get the right information.",
        "antipattern": "Chronological structure (\"what we did, what we found, what we conclude\") instead of logical hierarchy. Top-of-pyramid that is a topic (\"strategic options\") instead of an answer (\"pursue Option B because...\"). Non-MECE supports that overlap or fail to cover the universe.",
        "cardinality": null,
        "narrativePurpose": "Transfer conviction with minimum reader effort by mirroring how decision-makers consume information: answer first, scaffolding behind."
      },
      {
        "tool": {
          "name": "Chart Selection Guide",
          "slug": "chart-selection-guide",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae",
          "version": 1,
          "bodyDocId": null,
          "description": "Choosing the right chart type for your data and message",
          "familyLabel": null,
          "categoryName": "Slide",
          "categorySlug": "slide"
        },
        "agent": "Designer",
        "layer": "slide",
        "agents": [
          "Designer"
        ],
        "matchId": "f00e4e74-7dc2-41d1-b969-a91af48f2a52",
        "evidence": "chart/donut: Donut chart showing survey responses: 14% Now, 17% Less than one year, 48% In one to three years, 20% Beyond three years, 1% Never.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-16 21:10:27.954596+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 8,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "2x2 matrix",
          "slug": "matrix-2x2",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8",
          "version": 1,
          "bodyDocId": null,
          "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "e748d25e-d6ab-4597-8517-2f675ba71995",
        "evidence": "Donut chart showing distribution of expertise levels: 1% No expertise, 10% Little expertise, 45% Some expertise, 35% High expertise, 9% Very high expertise.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-16 21:10:28.035122+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 9,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": "common",
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Table data",
          "slug": "table-data",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd9e1-4fab-7168-a82f-b847350a006d",
          "version": 1,
          "bodyDocId": null,
          "description": "Tabular layouts of structured data.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "309b7df5-717a-4850-83d1-09e87ea84c21",
        "evidence": "table/data: Comparison of sentiment metrics between Very high expertise and Some expertise groups.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-07-16 21:10:28.114897+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 10,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": "common",
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Big Idea Formula",
          "slug": "big-idea-formula",
          "status": "active",
          "bestFor": "Any narrative-driven persuasive deck whose job is to move the audience: keynotes, fundraising pitches, capital-allocation board asks, all-hands behaviour-change talks, conference talks meant to shift mental models. Use it before structuring; pair with Pyramid when the deck must also withstand line-by-line scrutiny.",
          "canonId": "019dd956-7dd1-74d7-9866-ffdef19ecfbf",
          "version": 1,
          "bodyDocId": "c30d7484-69e0-4e21-82cf-20fa0966869e",
          "description": "Nancy Duarte's articulation of how to frame a presentation's central message: the speaker's unique point of view plus what's at stake for the audience, expressed as one complete declarative sentence. The narrative-driven counterpart to Minto's analytical governing thought.",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "60ab3aea-7bf4-471f-93f7-1b08f21b2b2e",
        "evidence": "The majority of organizations surveyed are currently targeting tactical benefits such as improving efficiency / productivity (56%) and/or reducing costs (35%).",
        "pageRefs": null,
        "priority": "Core",
        "whenToUse": "Any narrative-driven persuasive deck whose job is to move the audience: keynotes, fundraising pitches, capital-allocation board asks, all-hands behaviour-change talks, conference talks meant to shift mental models. Use it before structuring; pair with Pyramid when the deck must also withstand line-by-line scrutiny.",
        "confidence": 0.6,
        "extraction": {
          "at": "2026-07-16 21:10:28.197786+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 11,
        "whyItWorks": "Solves the topic-not-thesis trap and the stake-less recommendation trap simultaneously. A single declarative sentence with a verb forces the speaker's stance into the room; routing the consequence through the word 'you' translates internal urgency into the audience's currency. The result is short enough to be repeated after the meeting — and that repetition is the persuasion mechanism.",
        "antipattern": "A topic dressed as a thesis ('Sustainability Roadmap 2026'), a stake attached to the speaker rather than the audience, two ideas spliced with 'and', abstract verbs (leverage / unlock / empower) that survive deletion, or writing the Big Idea after the deck is already built so the slides don't actually defend it.",
        "cardinality": null,
        "narrativePurpose": "Forces the deck to commit to a single declarative thesis before slide one — a sentence that names the speaker's stance and routes a consequence through the audience's currency. Acts as the filter every slide, anecdote, and chart must ladder up to."
      },
      {
        "tool": {
          "name": "Logical chain",
          "slug": "logical-chain",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd9e1-5104-702f-8953-85757af6553d",
          "version": 1,
          "bodyDocId": null,
          "description": "If-then, premise-conclusion, deductive chain.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "dff9b014-fc18-4a38-8e38-c1017a253a96",
        "evidence": "productivity and efficiency can be transformational, especially given the massive scale generative AI has the potential to enable.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.6,
        "extraction": {
          "at": "2026-07-16 21:10:28.278868+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 12,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": "common",
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Data-Ink Ratio",
          "slug": "data-ink-ratio",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-afc8-70da-b378-92834d36fde6",
          "version": 1,
          "bodyDocId": null,
          "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration",
          "familyLabel": null,
          "categoryName": "Slide",
          "categorySlug": "slide"
        },
        "agent": "Designer",
        "layer": "slide",
        "agents": [
          "Designer"
        ],
        "matchId": "023866f7-19be-47e0-9049-55d65c351dff",
        "evidence": "chart/bubble: Bubble chart showing adoption percentages by function and expertise level",
        "pageRefs": null,
        "priority": "Core",
        "whenToUse": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-16 21:10:28.357862+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 13,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Monroe's Motivated Sequence",
          "slug": "monroes-motivated-sequence",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-8758-700f-83cf-d260a54ad24f",
          "version": 1,
          "bodyDocId": null,
          "description": "Five-step persuasion: Attention, Need, Satisfaction, Visualization, Action",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "f4289728-a216-4229-be6b-d6827c648dee",
        "evidence": "As in the past, organizations’ initial efforts will likely center around efficiency, productivity, cost savings and other incremental improvements.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.6,
        "extraction": {
          "at": "2026-07-16 21:10:28.437378+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 14,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Audience Persona",
          "slug": "audience-persona",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-7fe3-74e9-88b8-be0bea34f219",
          "version": 1,
          "bodyDocId": null,
          "description": "Detailed fictional profile of typical audience member including goals, frustrations, and context",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "1027de73-d818-4554-9601-7d0776ee2bf0",
        "evidence": "In line with their current emphasis on tactical benefits from generative AI, the vast majority of respondents were currently relying on off-the-shelf solutions.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.6,
        "extraction": {
          "at": "2026-07-16 21:10:28.515998+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 15,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Problem Statement Canvas",
          "slug": "problem-statement-canvas",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-839d-744b-ad11-9bf3e3642a18",
          "version": 1,
          "bodyDocId": null,
          "description": "Structured definition of the problem: What? Who? Where? When? Scale?",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Architect",
        "layer": "slide",
        "agents": [
          "Architect"
        ],
        "matchId": "599b499a-14c1-44dc-b453-021aae2cc08b",
        "evidence": "Talent, governance and risk are critical areas where generative AI preparedness is lacking.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.6,
        "extraction": {
          "at": "2026-07-16 21:10:28.594044+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 16,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Chartjunk Elimination",
          "slug": "chartjunk-elimination",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-b49e-7453-ab01-b60f338eeda1",
          "version": 1,
          "bodyDocId": null,
          "description": "Remove decorative elements that don't convey data: 3D effects, shadows, unnecessary gridlines",
          "familyLabel": null,
          "categoryName": "Slide",
          "categorySlug": "slide"
        },
        "agent": "Designer",
        "layer": "slide",
        "agents": [
          "Designer"
        ],
        "matchId": "d35f692c-eba8-4f34-9adc-d5373c17ea37",
        "evidence": "chart/bar-stacked-100pct: Stacked bar chart showing preparedness levels for Technology infrastructure, Strategy, Risk & governance, and Talent.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-16 21:10:28.673381+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 17,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Audience Definition",
          "slug": "audience-definition",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756",
          "version": 1,
          "bodyDocId": null,
          "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "6af75f27-13ea-49e7-92a8-9163e9245a3a",
        "evidence": "Respondents expressed a variety of concerns about generative AI risks, including the need to manage hallucinations and model bias, assess potential intellectual property issues, and ensure transparen",
        "pageRefs": null,
        "priority": "Core",
        "whenToUse": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-16 21:10:14.498147+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 30,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Call to action",
          "slug": "call-to-action",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd9e1-4bbb-702a-9ead-82daf188bb7c",
          "version": 1,
          "bodyDocId": null,
          "description": "Explicit prescription of what the audience should do next.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "a540f9c8-e9d3-4ff4-a4c2-77a0e890e643",
        "evidence": "What guardrails does our organization need to ensure responsible use of generative AI, and how do we stay aligned with shifting societal guardrails?",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.5,
        "extraction": {
          "at": "2026-07-16 21:10:14.5386+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 30,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": "common",
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Audience Definition",
          "slug": "audience-definition",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756",
          "version": 1,
          "bodyDocId": null,
          "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "6b349058-92cb-4f4a-9439-8d9764a1cbb0",
        "evidence": "To obtain a global view of how generative AI is being adopted by organizations on the leading edge of AI, Deloitte surveyed 2,835 leaders between October and December 2023.",
        "pageRefs": null,
        "priority": "Core",
        "whenToUse": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-16 21:10:14.698819+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 33,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      }
    ],
    "frameworks": [
      {
        "matchId": "acd097e7-cb8e-4342-8eeb-109be2e5439f",
        "evidence": "The slide compares Generative AI adoption to previous breakthrough technologies and smartphones.",
        "framework": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-05-02 21:24:27.543+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 14,
        "frameworkName": "argument-from-analogy"
      }
    ],
    "patterns": []
  },
  "storymakers": null,
  "score": {
    "backend": "claude",
    "scoredAt": "2026-05-02 11:51:12.106+00",
    "subScores": {
      "scqa_arc": 60,
      "action_titles": 65,
      "mece_structure": 62,
      "closing_strength": 55,
      "evidence_quality": 82,
      "clarity_of_thesis": 58,
      "production_quality": 64,
      "visual_storytelling": 68
    },
    "totalScore": 65,
    "coveragePct": 100,
    "explanations": {
      "scqa_arc": "Situation (slides 4-5) and Complication (14, 16) land, the explicit Question lands late on slide 26, and the Answer is diffused across four 'Looking ahead' slides instead of resolving sharply — the middle reads as analytical dump.",
      "action_titles": "Roughly 60% of content slides carry true action titles (e.g., slide 11: 'Current generative AI efforts remain more focused on efficiency, productivity and cost reduction than on innovation and growth'), but many remain topic labels — slides 8, 13, 17, 18, 23 — and slides 25/27/29/30 all reuse 'Next: Looking ahead'.",
      "mece_structure": "Now -> Next is a clean spine, but talent/risk/expertise themes recur across slides 9, 10, 13, 16, 17, 18, 19, 20, 30 with overlapping framings rather than a single owning section.",
      "closing_strength": "The deck ends with reflective questions (slides 29-30) rather than a prioritized recommendation or CTA; slide 28 states a thesis but no decision framework or next actions follow before the appendix.",
      "evidence_quality": "Every major claim is anchored in the n=2,835 survey with specific percentages, footnotes, and a methodology appendix (slide 33); charts back the narrative consistently — the strongest axis.",
      "clarity_of_thesis": "The 'Now decides next' tagline appears on slides 1, 3, 4 but functions as a thematic motif rather than a declarative argument; the actual thesis (reinvest efficiency gains to drive transformation) is not crisply stated until slide 28.",
      "production_quality": "Professional Deloitte styling and disciplined footnotes, but four consecutive slides titled 'Next: Looking ahead' (25, 27, 29, 30) and seven overcrowded-density slides indicate inconsistent title hygiene and density control.",
      "visual_storytelling": "Format choices generally fit the message (bubble charts for sentiment, donuts for timelines, icon grids for governance, big numbers for headline stats), but slides 7, 9, 10, 11, 19, 20, 24 are tagged 'overcrowded' and dilute the takeaway."
    },
    "slidesAnalyzed": 34
  },
  "review": {
    "backend": null,
    "verdict": "Solid Deloitte thought-leadership survey deck with strong action-title craft in the middle but a diffuse opening and a repetitive four-slide close — useful as a teaching example for declarative titles, not for narrative structure.",
    "reviewedAt": "2026-04-24 17:59:51+00",
    "slidesSeen": 34,
    "suggestions": [
      "Replace the four duplicate 'Next: Looking ahead' titles (p.25, 27, 29, 30) with distinct action titles naming each recommendation (e.g., 'Reinvest efficiency gains into growth, not cost cuts')",
      "Add a BLUF slide between p.3 and p.6 stating Deloitte's headline point-of-view in one sentence, before the survey-scale framing",
      "Rewrite topic-label titles on p.13, p.17 and p.23 as insight titles — e.g., replace 'Preparedness for generative AI' with 'Tech and strategy are ready; risk and talent are not' to match the tone of the callout",
      "Introduce 2-3 explicit MECE pillar dividers (e.g., Excitement, Expertise, Risk & Talent, Society) so the analytical middle reads as a structured argument rather than a findings stream"
    ],
    "closingScore": 55,
    "openingScore": 58,
    "topStrengths": [
      "Strong declarative titles through the findings section — p.7, p.9, p.10, p.11, p.15, p.16, p.22 and p.24 all state an insight rather than a topic",
      "Effective contextual hook on p.4 anchoring the report with the '100 million users in 2 months' ChatGPT framing",
      "Memorable thematic spine ('Now decides next') carried consistently from cover through the p.28 transition slide"
    ],
    "topWeaknesses": [
      "Four closing slides titled identically 'Next: Looking ahead' (p.25, 27, 29, 30) — reader cannot distinguish the recommendations or track progress",
      "No upfront thesis/BLUF in the first 5 slides; the p.3 executive summary describes the survey rather than leading with the answer",
      "Several key data slides use topic-label titles ('Level of generative AI adoption' p.13, 'Preparedness for generative AI' p.17, 'Expected societal impacts of generative AI' p.23) instead of action titles stating the so-what",
      "Missing explicit MECE section dividers for the latent pillars (expertise, value focus, risk/governance, talent, society) — everything collapses into one 'Key findings' header"
    ],
    "narrativeScore": 62,
    "pillarCritique": "Only one real section divider ('Now: Key findings', p.6) plus a thematic transition on p.28 — the 'Next' block has no proper divider and the latent pillars (excitement, expertise, risk/talent, society, outlook) are implied by topic flow rather than an explicit MECE structure.",
    "closingCritique": "The close softens rather than sharpens: four consecutive slides share the generic title 'Next: Looking ahead' (p.25, 27, 29, 30) and the final non-appendix slide ends on a descriptive stat about regulatory monitoring rather than a concrete recommendation or CTA.",
    "openingCritique": "The first 5 slides establish survey scale (2,835 leaders) and the ChatGPT hook, but none of p.1-5 states the thesis — the reader knows this is a 'pulse survey' before they know what Deloitte thinks leaders should do. The opening leads with method, not answer.",
    "extractionSeconds": 57.241337,
    "narrativeCritique": "The deck follows a rough 'Now/Next' two-act structure (findings then outlook) rather than a full S-C-A-R arc — context and heavy analysis are present, but 'Complication' and a crisp recommended action are diffused across four 'Looking ahead' slides (p.25, 27, 29, 30) that repeat the same title.",
    "titleQualityScore": 72,
    "titleQualityCritique": "Most of the analytical middle uses strong declarative titles ('Excitement about generative AI remains high...' p.7; 'Most organizations are primarily relying on off-the-shelf generative AI solutions' p.15), but several pivotal slides fall back to topic labels ('Level of generative AI adoption' p.13; 'Preparedness for generative AI' p.17; 'Expected societal impacts of generative AI' p.23) and the repeated 'Next: Looking ahead' is a non-title."
  },
  "activistThesis": null,
  "pitchdeck": {
    "metadata": null,
    "profile": null
  },
  "slides": [
    {
      "page": 1,
      "type": "setup",
      "function": "front_matter",
      "imagePath": "https://imgproxy.kitesheet.com/-Of_EFv2hzeAFq2IerXlZgmNUZzg77u10Q5og_YlbZs/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8xZjQ4MjhkNjc1ZGQ2N2NmL3AwMDEuanBn",
      "rawType": "cover",
      "block": null,
      "metadata": {
        "slideType": "cover",
        "slideTypeCanon": {
          "name": "Cover",
          "slug": "cover",
          "status": "active",
          "canonId": "019de52d-05f2-729d-9f93-e0504f0a2410",
          "version": 1,
          "description": null
        },
        "function": "front_matter",
        "functionCanon": {
          "name": "Front matter",
          "slug": "front_matter",
          "status": "active",
          "canonId": "019de52d-133d-73f0-9e26-201eda96b098",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 21,
        "componentCount": 5,
        "textChars": 164,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": [
          "other"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:51.495+00",
          "seconds": 2.922,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/1",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-1",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.8,
            "w": 0.45,
            "x": 0.5,
            "y": 0.1
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:51.495+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "70b4c1f5-73ba-4f98-81da-e8cb81ffdcff",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.15,
            "x": 0.05,
            "y": 0.05
          },
          "kind": "image",
          "text": "Deloitte",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Logo",
              "slug": "logo",
              "status": "active",
              "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "logo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:51.495+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "20ca82d5-4eb9-48e7-85dd-b5c109f1ce1b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.1,
            "x": 0.05,
            "y": 0.85
          },
          "kind": "paragraph",
          "text": "January 2024",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:51.495+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "6a9d5224-7a99-4f40-b2e0-69cd34c5e8c5",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.35,
            "x": 0.05,
            "y": 0.7
          },
          "kind": "paragraph",
          "text": "Deloitte’s State of Generative AI in the Enterprise Quarter one report",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:51.495+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e70c2805-ad4c-4213-bb03-2c154b67ff79",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.4,
            "x": 0.05,
            "y": 0.45
          },
          "kind": "title",
          "text": "Now decides next: Insights from the leading edge of generative AI adoption",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:51.495+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f8ae14ae-54f8-4867-a6b8-8e57442c3409",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 4,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 1,
          "name": "Situation & Context",
          "beatId": "c3376079-682e-4aba-b976-2146cc73277d",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Situation & Context",
            "slug": "consultants-gambit-situation-context",
            "status": "active",
            "canonId": "019dd9b8-05ae-741b-992d-65ee83c639b3",
            "version": 1,
            "description": null
          },
          "evidence": "Cover, table of contents, executive summary, and transition slides",
          "position": 0,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Setup",
            "slug": "setup",
            "status": "active",
            "canonId": "019dd9b8-020e-7505-af9b-d9b9a4679bcc",
            "version": 1,
            "description": "Where the deck grounds the reader before doing anything else. Almost every arc opens here."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "thumbSrc": "https://imgproxy.kitesheet.com/goTrysnyR5C6EPus6ZuGmrxBE7IpVxTj2e6HhVYxNPQ/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8xZjQ4MjhkNjc1ZGQ2N2NmL3AwMDEuanBn",
      "imagePathAlt": "https://imgproxy.kitesheet.com/WrQjUtivmOIJeZcQyk8FbrHV600mzJP2vd6qhKd-cN0/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8xZjQ4MjhkNjc1ZGQ2N2NmL3AwMDEucG5n",
      "thumbSrcAlt": "https://imgproxy.kitesheet.com/uS9RS4PxU9V_yQeWc0q2_ZOpvrlGpqe_kOdv51d3kQ8/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8xZjQ4MjhkNjc1ZGQ2N2NmL3AwMDEucG5n"
    },
    {
      "page": 2,
      "type": "setup",
      "function": "front_matter",
      "rawType": "table_of_contents",
      "block": null,
      "metadata": {
        "slideType": "table_of_contents",
        "slideTypeCanon": {
          "name": "Table of contents",
          "slug": "table_of_contents",
          "status": "active",
          "canonId": "019de52d-0643-721b-9b85-69676bb85cf8",
          "version": 1,
          "description": null
        },
        "function": "front_matter",
        "functionCanon": {
          "name": "Front matter",
          "slug": "front_matter",
          "status": "active",
          "canonId": "019de52d-133d-73f0-9e26-201eda96b098",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 43,
        "componentCount": 4,
        "textChars": 1053,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": [
          "headline_text",
          "numbered_list",
          "photo"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:51.234+00",
          "seconds": 2.629,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/2",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-2",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 1,
            "w": 0.5,
            "x": 0.5,
            "y": 0
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:51.234+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "1cc42a60-1290-4597-ae31-0f5e8c06dbf0",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.681,
            "w": 0.441,
            "x": 0.067,
            "y": 0.231
          },
          "kind": "list",
          "text": "Foreword\nIntroduction\nNow: Key findings\nNext: Looking ahead\nAuthorship & Acknowledgments\nAbout the Deloitte AI Institute\nAbout the Deloitte Center for Integrated Research\nAbout the Deloitte Center for Technology, Media & Telecommunications\nMethodology",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:51.234+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "bf5d205e-812c-4082-8197-ef771798aa26",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.245,
            "w": 0.441,
            "x": 0.067,
            "y": 0.375
          },
          "kind": "list",
          "text": "1. Excitement about generative AI remains high, and transformative impacts are expected in the next three years.\n2. Many leaders are confident about their organization's generative AI expertise.\n3. Organizations that report very high expertise in generative AI tend to feel more positive about it—but also more pressured and threatened.\n4. Current generative AI efforts remain more focused on efficiency, productivity and cost reduction than on innovation and growth.\n5. Most organizations are still primarily relying on off-the-shelf generative AI solutions.\n6. Talent, governance and risk are critical areas where generative AI preparedness is lacking.\n7. Leaders see significant societal impacts on the horizon.\n8. Leaders are looking for more regulation and collaboration globally.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Numbered list",
              "slug": "numbered",
              "status": "active",
              "canonId": "019de52c-fcc0-7718-a284-a4250c805df2",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "numbered",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:51.234+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "30dd77ba-0831-4896-b4c4-4031cae1448b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.063,
            "w": 0.281,
            "x": 0.067,
            "y": 0.115
          },
          "kind": "title",
          "text": "Table of contents",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:51.234+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "5cb201c0-ee20-4e62-b0a6-de4502c1b8aa",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 4,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 1,
          "name": "Situation & Context",
          "beatId": "c3376079-682e-4aba-b976-2146cc73277d",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Situation & Context",
            "slug": "consultants-gambit-situation-context",
            "status": "active",
            "canonId": "019dd9b8-05ae-741b-992d-65ee83c639b3",
            "version": 1,
            "description": null
          },
          "evidence": "Cover, table of contents, executive summary, and transition slides",
          "position": 0,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Setup",
            "slug": "setup",
            "status": "active",
            "canonId": "019dd9b8-020e-7505-af9b-d9b9a4679bcc",
            "version": 1,
            "description": "Where the deck grounds the reader before doing anything else. Almost every arc opens here."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 3,
      "type": "setup",
      "title": "The slide serves as a preface/foreword to a larger report.",
      "function": "front_matter",
      "rawType": "executive_summary",
      "block": null,
      "metadata": {
        "slideType": "executive_summary",
        "slideTypeCanon": {
          "name": "Executive summary",
          "slug": "executive_summary",
          "status": "active",
          "canonId": "019de52d-06be-73ff-81b3-f99fe7f0025e",
          "version": 1,
          "description": null
        },
        "function": "front_matter",
        "functionCanon": {
          "name": "Front matter",
          "slug": "front_matter",
          "status": "active",
          "canonId": "019de52d-133d-73f0-9e26-201eda96b098",
          "version": 1,
          "description": null
        },
        "density": "overcrowded",
        "densityScore": 86,
        "componentCount": 9,
        "textChars": 2188,
        "nDataPoints": 1,
        "notes": "The slide serves as a preface/foreword to a larger report.",
        "elementsJson": [
          "paragraph"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:53.176+00",
          "seconds": 4.466,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/3",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-3",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "The State of Generative AI in the Enterprise: Now decides next, captures the sentiments of 2,835 business and technology leaders involved in piloting or implementing generative AI in their organizations.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:08+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8542-5092a2ff771b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.28,
            "x": 0.36,
            "y": 0.41
          },
          "kind": "paragraph",
          "text": "There is still much to discover with generative AI. As it matures and is deployed at scale for a litany of applications, new questions and challenges will become clearer. Our quarterly reports will be available to help you make sense of this fast-moving space, consider practical guidance based on what we have learned, and take a forward-looking view in your business future with generative AI.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.176+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0acdde0c-245c-46ef-b0ac-c996b04dee95",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.28,
            "x": 0.36,
            "y": 0.68
          },
          "kind": "paragraph",
          "text": "Learn more about the series and sign up for updates at deloitte.com/us/state-of-generative-ai.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.176+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "296a0152-b237-4449-9ace-87fde2e7aecb",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.35,
            "w": 0.28,
            "x": 0.06,
            "y": 0.51
          },
          "kind": "paragraph",
          "text": "To that end, The State of Generative AI in the Enterprise: Now decides next, captures the sentiments of 2,835 business and technology leaders involved in piloting or implementing generative AI in their organizations. In this inaugural release of the quarterly report series, leaders indicated persistent excitement for using generative AI and many expect substantial transformative impacts in the short term. Yet, they also acknowledged uncertainty about generative AI's potential implications on workforces and society as the technology is widely scaled, calling for greater investment in talent, governance and global collaboration.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.176+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "818f219b-ba1f-4f73-9a62-8a881198473c",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.28,
            "x": 0.06,
            "y": 0.21
          },
          "kind": "paragraph",
          "text": "The arrival of generative AI heralds disruption and opportunity across industries. Organizations are exploring how generative AI can be used to unlock business value, supercharge efficiency and productivity, and open the door to entirely new products, services and business models. As business leaders contend with this new technology and make decisions about the future of the enterprise with generative AI, it is helpful to keep one's finger on the pulse of adoption.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.176+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "9a546db1-f2d7-4cc2-819b-0d6faa14b1cb",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.28,
            "x": 0.36,
            "y": 0.78
          },
          "kind": "paragraph",
          "text": "Deborshi Dutt, Beena Ammanath, Costi Perricos and Brenna Sniderman",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.176+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c5640443-b336-4580-8e52-e24fdcdbe548",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.28,
            "x": 0.36,
            "y": 0.21
          },
          "kind": "paragraph",
          "text": "From these wave one insights, we can gain a clearer picture of how leaders are using generative AI, challenges, and lessons learned thus far. This helps reveal some of the essential questions leaders should be asking now and actions they should be taking to prepare their enterprise for what comes next.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.176+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ebf7db68-77a5-4068-9ac0-e6af785b8f70",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.06,
            "w": 0.25,
            "x": 0.06,
            "y": 0.11
          },
          "kind": "title",
          "text": "Now decides next",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.176+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "8f56aff0-4f1d-49a7-b4f9-e2de0b191e2f",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.07,
            "x": 0.06,
            "y": 0.08
          },
          "kind": "title",
          "text": "Foreword",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Subtitle",
              "slug": "subtitle",
              "status": "active",
              "canonId": "019de52c-fb09-739d-900c-815b0d9ac526",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "subtitle",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.176+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b4e04de3-f2b3-4cf3-a1cc-6bdd9468a56c",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 4,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 1,
          "name": "Situation & Context",
          "beatId": "c3376079-682e-4aba-b976-2146cc73277d",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Situation & Context",
            "slug": "consultants-gambit-situation-context",
            "status": "active",
            "canonId": "019dd9b8-05ae-741b-992d-65ee83c639b3",
            "version": 1,
            "description": null
          },
          "evidence": "Cover, table of contents, executive summary, and transition slides",
          "position": 0,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Setup",
            "slug": "setup",
            "status": "active",
            "canonId": "019dd9b8-020e-7505-af9b-d9b9a4679bcc",
            "version": 1,
            "description": "Where the deck grounds the reader before doing anything else. Almost every arc opens here."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 4,
      "type": "setup",
      "title": "The slide uses a high-quality stock photo of a professional team to establish a business context. It frames the narrative around the historical adoption pattern",
      "function": "establish_context",
      "rawType": "transition",
      "block": null,
      "metadata": {
        "slideType": "transition",
        "slideTypeCanon": {
          "name": "Transition",
          "slug": "transition",
          "status": "active",
          "canonId": "019de52d-0693-7766-9f05-887f41f8e41e",
          "version": 1,
          "description": null
        },
        "function": "establish_context",
        "functionCanon": {
          "name": "Establish context",
          "slug": "establish_context",
          "status": "active",
          "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 73,
        "componentCount": 7,
        "textChars": 1550,
        "nDataPoints": 1,
        "notes": "The slide uses a high-quality stock photo of a professional team to establish a business context. It frames the narrative around the historical adoption patterns of breakthrough technologies.",
        "elementsJson": [
          "headline_text",
          "photo",
          "paragraph"
        ],
        "confidence": 0.95,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:52.457+00",
          "seconds": 3.697,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/4",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-4",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "ChatGPT was publicly released on November 30, 2022, largely as a technology demonstration. Two months later, it had already attracted an estimated 100 million active users—making it the fastest-growing consumer application in history.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:08+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8542-656b46128715",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.375,
            "w": 0.864,
            "x": 0.068,
            "y": 0.196
          },
          "kind": "image",
          "text": "Professional team collaborating in a modern office setting",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:52.457+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f9f4eece-c0fa-4679-bc4b-8b01f007256f",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "active users: 100 million",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:08+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8542-6bc947665ce2",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.42,
            "x": 0.068,
            "y": 0.618
          },
          "kind": "paragraph",
          "text": "Will generative AI (gen AI) be the greatest, most impactful technology innovation in history? Will it completely transform how humans live and work? Or will it turn out to be just another technology du jour that promised revolutionary change but ultimately delivered only incremental improvement? Right now, we can’t be certain. What we do know is that many breakthrough technologies of the past have followed a common adoption pattern: initial awareness; excitement that led to hype; mild disappointment as hype met reality; and then explosive growth once the technology reached critical mass and proved its worth.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:52.457+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e16c09ea-8933-4727-9523-f737d096011f",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.42,
            "x": 0.512,
            "y": 0.618
          },
          "kind": "paragraph",
          "text": "Generative AI seems to be following the same pattern, only much, much faster. ChatGPT was publicly released on November 30, 2022, largely as a technology demonstration. Two months later, it had already attracted an estimated 100 million active users—making it the fastest-growing consumer application in history. Since then, generative AI has continued to advance by leaps and bounds and many new tools and use cases have emerged—providing a powerful glimpse at the technology's vast potential to transform how people live and work.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:52.457+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "fed1f969-b1df-4af7-888e-aa14bea5fbb2",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.035,
            "w": 0.72,
            "x": 0.068,
            "y": 0.118
          },
          "kind": "title",
          "text": "Now decides next: Insights from the leading edge of generative AI adoption",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:52.457+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d0856c85-a1e8-4731-9d66-68ab069ab151",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.02,
            "w": 0.1,
            "x": 0.068,
            "y": 0.09
          },
          "kind": "title",
          "text": "Introduction",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Subtitle",
              "slug": "subtitle",
              "status": "active",
              "canonId": "019de52c-fb09-739d-900c-815b0d9ac526",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "subtitle",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:52.457+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "37044b37-23fe-4a2a-b459-e6c7004a302b",
          "parentComponentId": null
        }
      ],
      "metrics": [
        {
          "metricRaw": "active users",
          "numberRaw": "100 million",
          "numberKind": "plain",
          "actionTitle": "Now decides next: Insights from the leading edge of generative AI adoption",
          "calloutText": "ChatGPT was publicly released on November 30, 2022, largely as a technology demonstration. Two months later, it had already attracted an estimated 100 million active users—making it the fastest-growing consumer application in history.",
          "numberScale": "m",
          "numberValue": 100,
          "metricFamily": "other",
          "numberCurrency": null
        }
      ],
      "tools": [],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 4,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 1,
          "name": "Situation & Context",
          "beatId": "c3376079-682e-4aba-b976-2146cc73277d",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Situation & Context",
            "slug": "consultants-gambit-situation-context",
            "status": "active",
            "canonId": "019dd9b8-05ae-741b-992d-65ee83c639b3",
            "version": 1,
            "description": null
          },
          "evidence": "Cover, table of contents, executive summary, and transition slides",
          "position": 0,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Setup",
            "slug": "setup",
            "status": "active",
            "canonId": "019dd9b8-020e-7505-af9b-d9b9a4679bcc",
            "version": 1,
            "description": "Where the deck grounds the reader before doing anything else. Almost every arc opens here."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 5,
      "type": "setup",
      "title": "Includes methodology details and definitions for Generative AI.",
      "function": "summarize",
      "rawType": "appendix_methodology",
      "block": null,
      "metadata": {
        "slideType": "appendix_methodology",
        "slideTypeCanon": {
          "name": "Appendix methodology",
          "slug": "appendix_methodology",
          "status": "active",
          "canonId": "019de52d-07d9-726c-8599-167f2d2ffaa7",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "overcrowded",
        "densityScore": 78,
        "componentCount": 8,
        "textChars": 1247,
        "nDataPoints": 1,
        "notes": "Includes methodology details and definitions for Generative AI.",
        "elementsJson": [
          "paragraph",
          "callout_box"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:51.943+00",
          "seconds": 3.121,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/5",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-5",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.12,
            "w": 0.22,
            "x": 0.72,
            "y": 0.14
          },
          "kind": "callout",
          "text": "About The State of Generative AI in the Enterprise",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": null,
            "subkind": {
              "name": "Primary callout",
              "slug": "primary",
              "status": "active",
              "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:51.943+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b55f8dd2-76f5-4ed0-a710-e91e72f3c903",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "callout",
          "text": "Our goal is to take the pulse of generative AI adoption, offer a view of what's happening, track evolving attitudes and activities, and deliver practical, actionable insights that can help leaders you make informed and confident decisions.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:08+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8542-2a1f21750226",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "survey respondents: 2,835",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:08+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8542-2e3a11844914",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.35,
            "x": 0.44,
            "y": 0.18
          },
          "kind": "paragraph",
          "text": "To help make smart decisions, leaders need objective, timely information about current generative AI developments—and where things are headed. Which is why Deloitte is conducting this ongoing quarterly survey.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:51.943+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0359cda9-9895-47a6-b2fa-e47a3b4a8abc",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.35,
            "x": 0.06,
            "y": 0.18
          },
          "kind": "paragraph",
          "text": "During this frenzied period of generative AI advancement and adoption, leaders in business, technology and the public sector are under tremendous pressure to understand generative AI—and to figure out how to harness its capabilities most effectively.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:51.943+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "627e3d9c-d5f3-4c90-ab44-fe47cb969066",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.35,
            "w": 0.22,
            "x": 0.72,
            "y": 0.26
          },
          "kind": "paragraph",
          "text": "To help leaders in business, technology and the public sector track the rapid pace of generative AI change and adoption, Deloitte is conducting a series of quarterly surveys.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:51.943+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "92c65f8f-82c5-4764-a239-3a99c81d3345",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.35,
            "x": 0.06,
            "y": 0.74
          },
          "kind": "source-note",
          "text": "All statistics noted in this report and its graphics are derived from Deloitte's first quarterly survey, conducted October – December 2023; The State of Generative AI in the Enterprise: Now decides next, a report series. N (Total leader survey responses) = 2,835",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:51.943+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "3246b609-c1ea-45a8-8373-72c97a609c8c",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.35,
            "x": 0.06,
            "y": 0.11
          },
          "kind": "title",
          "text": "Insights from the leading edge (cont.)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:51.943+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "cc278f81-918f-4630-9008-5888d2683693",
          "parentComponentId": null
        }
      ],
      "metrics": [
        {
          "metricRaw": "survey respondents",
          "numberRaw": "2,835",
          "numberKind": "plain",
          "actionTitle": null,
          "calloutText": "Our goal is to take the pulse of generative AI adoption, offer a view of what's happening, track evolving attitudes and activities, and deliver practical, actionable insights that can help leaders you make informed and confident decisions.",
          "numberScale": null,
          "numberValue": 2.835,
          "metricFamily": "survey_sentiment",
          "numberCurrency": null
        }
      ],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 6,
      "type": "setup",
      "title": "The slide serves as a section divider or transition to the findings section of the deck.",
      "function": "transition",
      "rawType": "transition",
      "block": null,
      "metadata": {
        "slideType": "transition",
        "slideTypeCanon": {
          "name": "Transition",
          "slug": "transition",
          "status": "active",
          "canonId": "019de52d-0693-7766-9f05-887f41f8e41e",
          "version": 1,
          "description": null
        },
        "function": "transition",
        "functionCanon": {
          "name": "Transition",
          "slug": "transition",
          "status": "active",
          "canonId": "019de52d-1365-7149-92aa-66df859e75fd",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 23,
        "componentCount": 3,
        "textChars": 345,
        "nDataPoints": 1,
        "notes": "The slide serves as a section divider or transition to the findings section of the deck.",
        "elementsJson": [
          "headline_text",
          "paragraph",
          "photo"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:54.403+00",
          "seconds": 5.199,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/6",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-6",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 1,
            "w": 0.55,
            "x": 0.45,
            "y": 0
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.403+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b8d00814-b69c-4a4a-90c6-ce7875b35d9c",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.4,
            "x": 0.067,
            "y": 0.645
          },
          "kind": "paragraph",
          "text": "This first pulse of our generative AI quarterly surveys was completed in December 2023, and included more than 2,800 AI-savvy business and technology leaders directly involved in piloting or implementing gen AI at major organizations around the world. Here’s what they had to say about sentiment, use cases, challenges and more.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.403+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "8e900874-1c1b-40f1-b495-41ca3f052725",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.06,
            "w": 0.37,
            "x": 0.067,
            "y": 0.545
          },
          "kind": "title",
          "text": "Now: Key findings",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.403+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c6f2026f-881c-41ad-b239-c40caca73642",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 7,
      "type": "resolution",
      "title": "The slide uses a bubble chart to visualize emotional sentiment distribution.",
      "function": "summarize",
      "rawType": "key_takeaways",
      "block": null,
      "metadata": {
        "slideType": "key_takeaways",
        "slideTypeCanon": {
          "name": "Key takeaways",
          "slug": "key_takeaways",
          "status": "active",
          "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "overcrowded",
        "densityScore": 93,
        "componentCount": 11,
        "textChars": 1972,
        "nDataPoints": 10,
        "notes": "The slide uses a bubble chart to visualize emotional sentiment distribution.",
        "elementsJson": [
          "headline_text",
          "action_title",
          "paragraph",
          "bubble_chart",
          "callout_box",
          "footnote"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:33:00.124+00",
          "seconds": 10.902,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/7",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-7",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "31% of the leaders we surveyed expect substantial transformation in less than one year; 48% expect it in one to three years.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:08+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8542-0f135907efd6",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.65,
            "w": 0.31,
            "x": 0.64,
            "y": 0.15
          },
          "kind": "chart",
          "text": "Bubble chart showing emotional sentiment percentages: Excitement 62%, Fascination 46%, Uncertainty 30%, Surprise 17%, Trust 16%, Anxiety 10%, Confusion 8%, Fear 6%, Exhaustion 4%, Anger 1%.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Bubble chart",
              "slug": "bubble",
              "status": "active",
              "canonId": "019de52d-00a4-756f-8978-8d5e48905dbc",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bubble",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:33:00.124+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "189c3319-e1d6-4281-bd2a-32086d8d312f",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.45,
            "x": 0.06,
            "y": 0.81
          },
          "kind": "metric",
          "text": "31% of the leaders we surveyed expect substantial transformation in less than one year; 48% expect it in one to three years.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": null,
            "subkind": {
              "name": "Big number",
              "slug": "big-number",
              "status": "active",
              "canonId": "019de52c-fc70-70c8-b965-0584548a9204",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "big-number",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:33:00.124+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "fe2c44d1-d015-4b2c-ac70-077ec13783f9",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "Sentiment: 62%",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:08+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8542-139fc06a406d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.45,
            "x": 0.06,
            "y": 0.66
          },
          "kind": "paragraph",
          "text": "In future surveys, we will be closely monitoring progress in this area—particularly with regard to organizations' expertise, capabilities, tangible outcomes, and responses to rapidly emerging advances in generative AI technology.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:33:00.124+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "cec1de97-8cfd-4a21-9082-12f513164fc3",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.18,
            "w": 0.45,
            "x": 0.06,
            "y": 0.47
          },
          "kind": "paragraph",
          "text": "The survey results suggest that many AI-fueled organizations are on the verge of scaling up their efforts and embracing generative AI in a more substantial way. This aligns with what we're seeing in the marketplace, where organizations around the world are racing to move from experimentation and proofs-of-concept to larger-scale deployments across a variety of use cases and data types—pursuing both speed and value capture while managing potential downside risks and societal impacts.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:33:00.124+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e1c21ca0-e3f5-4560-87c1-7e5482d765dc",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.18,
            "w": 0.45,
            "x": 0.06,
            "y": 0.28
          },
          "kind": "paragraph",
          "text": "Nearly two-thirds (62%) of the business and technology leaders surveyed reported excitement as a top sentiment with regard to generative AI; however, that excitement was tinged with uncertainty (30%) (figure 1). The vast majority of respondents (79%) said they expect generative AI to drive substantial transformation within their organization and industry over the next three years—with nearly a third expecting substantial transformation to occur now (14%) or in less than one year (17%) (figure 2).",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:33:00.124+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f23dc6c9-c2fd-4fa8-9440-b89030e5cbfb",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.31,
            "x": 0.64,
            "y": 0.85
          },
          "kind": "source-note",
          "text": "Figure 1. Q: Thinking about generative AI, what emotions do you feel most about the technology? (Oct./Dec. 2023) N (Total) = 2,835",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:33:00.124+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ea7d02c8-0426-4cf8-899f-f4577c30c1a2",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.45,
            "x": 0.06,
            "y": 0.16
          },
          "kind": "title",
          "text": "Excitement about generative AI remains high, and transformative impacts are expected in the next three years.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Action title",
              "slug": "action-title",
              "status": "active",
              "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "action-title",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:33:00.124+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e0a32197-8d0e-49ad-a094-eae4ee0f4ac2",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.31,
            "x": 0.64,
            "y": 0.68
          },
          "kind": "title",
          "text": "Generative AI elicits a range of strong emotions",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:33:00.124+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "2c19a1ad-ed7f-44f9-8d83-149f81c5eb81",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.17,
            "x": 0.06,
            "y": 0.11
          },
          "kind": "title",
          "text": "Now: Key findings",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:33:00.124+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4ff5f0a4-3560-4d89-8a31-5321651b7f76",
          "parentComponentId": null
        }
      ],
      "metrics": [
        {
          "metricRaw": "Sentiment",
          "numberRaw": "62%",
          "numberKind": "percent",
          "actionTitle": "Excitement about generative AI remains high, and transformative impacts are expected in the next three years.",
          "calloutText": "31% of the leaders we surveyed expect substantial transformation in less than one year; 48% expect it in one to three years.",
          "numberScale": null,
          "numberValue": 62,
          "metricFamily": "survey_sentiment",
          "numberCurrency": null
        }
      ],
      "tools": [
        {
          "tool": {
            "name": "Audience Definition",
            "slug": "audience-definition",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756",
            "version": 1,
            "bodyDocId": null,
            "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "af0c014d-0668-4ca5-b433-26953653c5fc",
          "evidence": "Nearly two-thirds (62%) of the business and technology leaders surveyed reported excitement as a top sentiment with regard to generative AI; however, that excitement was tinged with uncertainty (30%)",
          "pageRefs": null,
          "priority": "Core",
          "whenToUse": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 21:10:27.8283+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 7,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        },
        {
          "tool": {
            "name": "Pyramid Principle",
            "slug": "pyramid-principle",
            "status": "active",
            "bestFor": "When the document has a single governing decision or recommendation the reader is asked to accept, and the case can be decomposed into a small number of clean groups. Strategy decks, board memos, investment committee papers.",
            "canonId": "019dd956-7cbd-7219-a477-c871e2bc1aff",
            "version": 1,
            "bodyDocId": "88b6ac56-b880-46f9-8621-ef3491ab6235",
            "description": "Lead with the answer; group three to five MECE supports beneath it; recurse one level down. Top-down hierarchical structure for any document with a single recommendation.",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Architect",
          "layer": "slide",
          "agents": [
            "Architect"
          ],
          "matchId": "5e853c8e-689b-4718-b5ad-70e0bc6601d6",
          "evidence": "the survey results suggest that many AI-fueled organizations are on the verge of scaling up their efforts and embracing generative AI in a more substantial way.",
          "pageRefs": null,
          "priority": "Core",
          "whenToUse": "When the document has a single governing decision or recommendation the reader is asked to accept, and the case can be decomposed into a small number of clean groups. Strategy decks, board memos, investment committee papers.",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:10:27.86782+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 7,
          "whyItWorks": "Solves the two failure modes of expert communication at once: (1) the long climb where readers wait pages for the answer, and (2) logical mush from non-MECE groupings. Progressive disclosure lets a reader stop at any depth and get the right information.",
          "antipattern": "Chronological structure (\"what we did, what we found, what we conclude\") instead of logical hierarchy. Top-of-pyramid that is a topic (\"strategic options\") instead of an answer (\"pursue Option B because...\"). Non-MECE supports that overlap or fail to cover the universe.",
          "cardinality": null,
          "narrativePurpose": "Transfer conviction with minimum reader effort by mirroring how decision-makers consume information: answer first, scaffolding behind."
        }
      ],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 12,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 7,
          "name": "Problem & Complication",
          "beatId": "ba081b17-b42a-4a37-bffd-5f304612c26b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Problem & Complication",
            "slug": "consultants-gambit-problem-complication",
            "status": "active",
            "canonId": "019dd9b8-064a-777f-a374-e9a8c43dedd4",
            "version": 1,
            "description": null
          },
          "evidence": "Key takeaways on generative AI expertise, emotions, and pressures",
          "position": 1,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Complication",
            "slug": "complication",
            "status": "active",
            "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579",
            "version": 1,
            "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 8,
      "type": "analysis",
      "title": "The slide uses a dark background with a high-contrast green donut chart.",
      "function": "summarize",
      "rawType": "industry_trends",
      "block": null,
      "metadata": {
        "slideType": "industry_trends",
        "slideTypeCanon": {
          "name": "Industry trends",
          "slug": "industry_trends",
          "status": "active",
          "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 48,
        "componentCount": 6,
        "textChars": 447,
        "nDataPoints": 5,
        "notes": "The slide uses a dark background with a high-contrast green donut chart.",
        "elementsJson": [
          "headline_text",
          "donut_chart",
          "photo"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:52.405+00",
          "seconds": 3.169,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/8",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-8",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.28,
            "w": 0.22,
            "x": 0.16,
            "y": 0.34
          },
          "kind": "chart",
          "text": "Donut chart showing survey responses: 14% Now, 17% Less than one year, 48% In one to three years, 20% Beyond three years, 1% Never.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Donut chart",
              "slug": "donut",
              "status": "active",
              "canonId": "019de52d-0006-752c-9528-0fef476b8004",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "donut",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:52.405+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "13ec0cbe-e88b-4859-869e-f9d4ad148969",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 1,
            "w": 0.5,
            "x": 0.5,
            "y": 0
          },
          "kind": "image",
          "text": "Woman in lab coat holding a tablet in a technical environment.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:52.405+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "366c34f2-68e2-4edd-b828-6457c684366d",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "Time to transformation: 48%",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:08+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8542-807a05f0aa41",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.4,
            "x": 0.068,
            "y": 0.665
          },
          "kind": "paragraph",
          "text": "Figure 2\nQ: When is generative AI likely to substantially transform your organization and your industry, if at all?\n(Oct./Dec. 2023) N (Total) = 2,835",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:52.405+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "437d1e15-1c96-4ad9-8933-3375a45a8a4f",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.33,
            "x": 0.068,
            "y": 0.155
          },
          "kind": "title",
          "text": "When is generative AI likely to transform your organization?",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:52.405+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c28ca87a-3e85-465f-8b3c-2f37b338d18b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.02,
            "w": 0.12,
            "x": 0.068,
            "y": 0.118
          },
          "kind": "title",
          "text": "Now: Key findings",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Subtitle",
              "slug": "subtitle",
              "status": "active",
              "canonId": "019de52c-fb09-739d-900c-815b0d9ac526",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "subtitle",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:52.405+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "edaf3baf-758b-4d6b-83ae-8407927d93ac",
          "parentComponentId": null
        }
      ],
      "metrics": [
        {
          "metricRaw": "Time to transformation",
          "numberRaw": "48%",
          "numberKind": "percent",
          "actionTitle": "When is generative AI likely to transform your organization?",
          "calloutText": null,
          "numberScale": null,
          "numberValue": 48,
          "metricFamily": "other",
          "numberCurrency": null
        }
      ],
      "tools": [
        {
          "tool": {
            "name": "Chart Selection Guide",
            "slug": "chart-selection-guide",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae",
            "version": 1,
            "bodyDocId": null,
            "description": "Choosing the right chart type for your data and message",
            "familyLabel": null,
            "categoryName": "Slide",
            "categorySlug": "slide"
          },
          "agent": "Designer",
          "layer": "slide",
          "agents": [
            "Designer"
          ],
          "matchId": "f00e4e74-7dc2-41d1-b969-a91af48f2a52",
          "evidence": "chart/donut: Donut chart showing survey responses: 14% Now, 17% Less than one year, 48% In one to three years, 20% Beyond three years, 1% Never.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-07-16 21:10:27.954596+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 8,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 12,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 7,
          "name": "Problem & Complication",
          "beatId": "ba081b17-b42a-4a37-bffd-5f304612c26b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Problem & Complication",
            "slug": "consultants-gambit-problem-complication",
            "status": "active",
            "canonId": "019dd9b8-064a-777f-a374-e9a8c43dedd4",
            "version": 1,
            "description": null
          },
          "evidence": "Key takeaways on generative AI expertise, emotions, and pressures",
          "position": 1,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Complication",
            "slug": "complication",
            "status": "active",
            "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579",
            "version": 1,
            "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 9,
      "type": "resolution",
      "title": "The slide uses a donut chart to visualize survey responses regarding AI expertise levels.",
      "function": "summarize",
      "rawType": "key_takeaways",
      "block": null,
      "metadata": {
        "slideType": "key_takeaways",
        "slideTypeCanon": {
          "name": "Key takeaways",
          "slug": "key_takeaways",
          "status": "active",
          "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 67,
        "componentCount": 7,
        "textChars": 827,
        "nDataPoints": 5,
        "notes": "The slide uses a donut chart to visualize survey responses regarding AI expertise levels.",
        "elementsJson": [
          "headline_text",
          "action_title",
          "paragraph",
          "big_number",
          "donut_chart",
          "footnote"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:53.222+00",
          "seconds": 3.821,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/9",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-9",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "A large percentage of our survey respondents (44%) said they believe their organizations currently have high (35%) or very high (9%) levels of expertise with generative AI.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:08+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8542-b904af6ba32d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.35,
            "w": 0.3,
            "x": 0.65,
            "y": 0.45
          },
          "kind": "chart",
          "text": "Donut chart showing distribution of expertise levels: 1% No expertise, 10% Little expertise, 45% Some expertise, 35% High expertise, 9% Very high expertise.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Donut chart",
              "slug": "donut",
              "status": "active",
              "canonId": "019de52d-0006-752c-9528-0fef476b8004",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "donut",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.222+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ca67db2c-7c0b-4115-b3b2-700eb16fe108",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.08,
            "x": 0.68,
            "y": 0.09
          },
          "kind": "metric",
          "text": "44%",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": null,
            "subkind": {
              "name": "Big number",
              "slug": "big-number",
              "status": "active",
              "canonId": "019de52c-fc70-70c8-b965-0584548a9204",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "big-number",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.222+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d40ace5f-6287-4b88-b635-6058b0ed45ec",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "Generative AI expertise: 44%",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:08+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8542-beeb62703e5a",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.12,
            "w": 0.45,
            "x": 0.06,
            "y": 0.28
          },
          "kind": "paragraph",
          "text": "A large percentage of our survey respondents (44%) said they believe their organizations currently have high (35%) or very high (9%) levels of expertise with generative AI. This result is somewhat surprising given how rapidly generative AI is evolving.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.222+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "032e131f-632f-403f-a7b7-2789a9bc887b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.3,
            "x": 0.65,
            "y": 0.87
          },
          "kind": "source-note",
          "text": "Q: How would you assess your organization's current level of overall expertise regarding generative AI? (Oct./Dec. 2023) N (Total) = 2,835",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.222+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ea1d873b-2cfc-415d-8956-789ea2bee446",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.45,
            "x": 0.06,
            "y": 0.16
          },
          "kind": "title",
          "text": "Many leaders are confident about their organization's generative AI expertise.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.222+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "6b9c109b-e62e-40c0-a92a-379f2223b4d2",
          "parentComponentId": null
        }
      ],
      "metrics": [
        {
          "metricRaw": "Generative AI expertise",
          "numberRaw": "44%",
          "numberKind": "percent",
          "actionTitle": "Many leaders are confident about their organization's generative AI expertise.",
          "calloutText": "A large percentage of our survey respondents (44%) said they believe their organizations currently have high (35%) or very high (9%) levels of expertise with generative AI.",
          "numberScale": null,
          "numberValue": 44,
          "metricFamily": "other",
          "numberCurrency": null
        }
      ],
      "tools": [
        {
          "tool": {
            "name": "2x2 matrix",
            "slug": "matrix-2x2",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8",
            "version": 1,
            "bodyDocId": null,
            "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "e748d25e-d6ab-4597-8517-2f675ba71995",
          "evidence": "Donut chart showing distribution of expertise levels: 1% No expertise, 10% Little expertise, 45% Some expertise, 35% High expertise, 9% Very high expertise.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 21:10:28.035122+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 9,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": "common",
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 12,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 7,
          "name": "Problem & Complication",
          "beatId": "ba081b17-b42a-4a37-bffd-5f304612c26b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Problem & Complication",
            "slug": "consultants-gambit-problem-complication",
            "status": "active",
            "canonId": "019dd9b8-064a-777f-a374-e9a8c43dedd4",
            "version": 1,
            "description": null
          },
          "evidence": "Key takeaways on generative AI expertise, emotions, and pressures",
          "position": 1,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Complication",
            "slug": "complication",
            "status": "active",
            "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579",
            "version": 1,
            "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 10,
      "type": "resolution",
      "title": "The slide uses a comparison table to contrast 'Very high expertise' vs 'Some expertise' across six sentiment metrics.",
      "function": "summarize",
      "rawType": "key_takeaways",
      "block": null,
      "metadata": {
        "slideType": "key_takeaways",
        "slideTypeCanon": {
          "name": "Key takeaways",
          "slug": "key_takeaways",
          "status": "active",
          "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 60,
        "componentCount": 6,
        "textChars": 786,
        "nDataPoints": 12,
        "notes": "The slide uses a comparison table to contrast 'Very high expertise' vs 'Some expertise' across six sentiment metrics.",
        "elementsJson": [
          "headline_text",
          "action_title",
          "paragraph",
          "callout_box",
          "kpi_table",
          "footnote"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:57.105+00",
          "seconds": 7.534,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/10",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-10",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.1,
            "w": 0.55,
            "x": 0.05,
            "y": 0.75
          },
          "kind": "callout",
          "text": "Leaders of organizations with very high expertise are more likely to view generative AI as a threat to their business and operating models.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": null,
            "subkind": {
              "name": "Primary callout",
              "slug": "primary",
              "status": "active",
              "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:57.105+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7b0e82de-3e00-4e34-acf1-753e7f7b7806",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "Sentiment toward GenAI adoption: 78%",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:08+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8542-f73e6177352f",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.55,
            "x": 0.05,
            "y": 0.3
          },
          "kind": "paragraph",
          "text": "Relative to other respondents, leaders who rated their organization's overall generative AI expertise as “very high” tended to feel much more positive about the technology; however, they also feel more pressure to adopt it—and see it as more of a threat to their business and operating models (figure 4).",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:57.105+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "6048acab-b9fe-4862-8031-607c94399dec",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.3,
            "x": 0.65,
            "y": 0.9
          },
          "kind": "source-note",
          "text": "Figure 4. (Oct./Dec. 2023) N (Total) = 2,835, N (Very high) = 267; N (Some) = 1,273",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:57.105+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "347a921c-6033-45f6-acce-98bb9cb43b84",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.7,
            "w": 0.3,
            "x": 0.65,
            "y": 0.15
          },
          "kind": "table",
          "text": "Comparison of sentiment metrics between Very high expertise and Some expertise groups.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Table",
              "slug": "table",
              "status": "active",
              "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28",
              "version": 1,
              "description": "Tabular data layout."
            },
            "tool": null,
            "subkind": {
              "name": "Data table",
              "slug": "data",
              "status": "active",
              "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "data",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:57.105+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e28d7a6d-577e-4a92-b58b-65a919273ab7",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.55,
            "x": 0.05,
            "y": 0.15
          },
          "kind": "title",
          "text": "Organizations that report very high expertise in generative AI tend to feel more positive about it—but also more pressured and threatened.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:57.105+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4de9718b-525b-4d73-9462-e46188e35fba",
          "parentComponentId": null
        }
      ],
      "metrics": [
        {
          "metricRaw": "Sentiment toward GenAI adoption",
          "numberRaw": "78%",
          "numberKind": "percent",
          "actionTitle": "Organizations that report very high expertise in generative AI tend to feel more positive about it—but also more pressured and threatened.",
          "calloutText": "Leaders of organizations with very high expertise are more likely to view generative AI as a threat to their business and operating models.",
          "numberScale": null,
          "numberValue": 78,
          "metricFamily": "survey_sentiment",
          "numberCurrency": null
        }
      ],
      "tools": [
        {
          "tool": {
            "name": "Table data",
            "slug": "table-data",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd9e1-4fab-7168-a82f-b847350a006d",
            "version": 1,
            "bodyDocId": null,
            "description": "Tabular layouts of structured data.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "309b7df5-717a-4850-83d1-09e87ea84c21",
          "evidence": "table/data: Comparison of sentiment metrics between Very high expertise and Some expertise groups.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-07-16 21:10:28.114897+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 10,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": "common",
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 12,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 7,
          "name": "Problem & Complication",
          "beatId": "ba081b17-b42a-4a37-bffd-5f304612c26b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Problem & Complication",
            "slug": "consultants-gambit-problem-complication",
            "status": "active",
            "canonId": "019dd9b8-064a-777f-a374-e9a8c43dedd4",
            "version": 1,
            "description": null
          },
          "evidence": "Key takeaways on generative AI expertise, emotions, and pressures",
          "position": 1,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Complication",
            "slug": "complication",
            "status": "active",
            "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579",
            "version": 1,
            "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 11,
      "type": "resolution",
      "title": "The slide uses a bubble chart to visualize survey results regarding AI benefits.",
      "function": "summarize",
      "rawType": "key_takeaways",
      "block": null,
      "metadata": {
        "slideType": "key_takeaways",
        "slideTypeCanon": {
          "name": "Key takeaways",
          "slug": "key_takeaways",
          "status": "active",
          "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 57,
        "componentCount": 6,
        "textChars": 676,
        "nDataPoints": 10,
        "notes": "The slide uses a bubble chart to visualize survey results regarding AI benefits.",
        "elementsJson": [
          "headline_text",
          "action_title",
          "paragraph",
          "bubble_chart",
          "footnote"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:52.613+00",
          "seconds": 2.95,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/11",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-11",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "The majority of organizations surveyed are currently targeting tactical benefits such as improving efficiency / productivity (56%) and/or reducing costs (35%).",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:08+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8542-9b4c4cbc6940",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.85,
            "w": 0.35,
            "x": 0.6,
            "y": 0.05
          },
          "kind": "chart",
          "text": "Key benefits organizations hope to achieve with generative AI",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Bubble chart",
              "slug": "bubble",
              "status": "active",
              "canonId": "019de52d-00a4-756f-8978-8d5e48905dbc",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bubble",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:52.613+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4cf39369-7055-4111-8939-eba27714e70c",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "Percentage of organizations targeting benefits: 56%",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:08+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8542-9f307f644c37",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.45,
            "x": 0.06,
            "y": 0.33
          },
          "kind": "paragraph",
          "text": "The majority of organizations surveyed are currently targeting tactical benefits such as improving efficiency / productivity (56%) and/or reducing costs (35%).",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:52.613+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "23230c81-0a89-4cfb-8011-95f54926ef5c",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.35,
            "x": 0.6,
            "y": 0.88
          },
          "kind": "source-note",
          "text": "Q: What are the key benefits you hope to achieve through your generative AI efforts? (Oct./Dec. 2023) N (Total) = 2,835",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:52.613+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7802d24e-f89c-464f-9f30-b9fed7bc0559",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.45,
            "x": 0.06,
            "y": 0.15
          },
          "kind": "title",
          "text": "Current generative AI efforts remain more focused on efficiency, productivity and cost reduction than on innovation and growth.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:52.613+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "84cd3679-838b-4a2b-80db-5d37bc6c5962",
          "parentComponentId": null
        }
      ],
      "metrics": [
        {
          "metricRaw": "Percentage of organizations targeting benefits",
          "numberRaw": "56%",
          "numberKind": "percent",
          "actionTitle": "Current generative AI efforts remain more focused on efficiency, productivity and cost reduction than on innovation and growth.",
          "calloutText": "The majority of organizations surveyed are currently targeting tactical benefits such as improving efficiency / productivity (56%) and/or reducing costs (35%).",
          "numberScale": null,
          "numberValue": 56,
          "metricFamily": "survey_sentiment",
          "numberCurrency": null
        }
      ],
      "tools": [
        {
          "tool": {
            "name": "Big Idea Formula",
            "slug": "big-idea-formula",
            "status": "active",
            "bestFor": "Any narrative-driven persuasive deck whose job is to move the audience: keynotes, fundraising pitches, capital-allocation board asks, all-hands behaviour-change talks, conference talks meant to shift mental models. Use it before structuring; pair with Pyramid when the deck must also withstand line-by-line scrutiny.",
            "canonId": "019dd956-7dd1-74d7-9866-ffdef19ecfbf",
            "version": 1,
            "bodyDocId": "c30d7484-69e0-4e21-82cf-20fa0966869e",
            "description": "Nancy Duarte's articulation of how to frame a presentation's central message: the speaker's unique point of view plus what's at stake for the audience, expressed as one complete declarative sentence. The narrative-driven counterpart to Minto's analytical governing thought.",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "60ab3aea-7bf4-471f-93f7-1b08f21b2b2e",
          "evidence": "The majority of organizations surveyed are currently targeting tactical benefits such as improving efficiency / productivity (56%) and/or reducing costs (35%).",
          "pageRefs": null,
          "priority": "Core",
          "whenToUse": "Any narrative-driven persuasive deck whose job is to move the audience: keynotes, fundraising pitches, capital-allocation board asks, all-hands behaviour-change talks, conference talks meant to shift mental models. Use it before structuring; pair with Pyramid when the deck must also withstand line-by-line scrutiny.",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:10:28.197786+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 11,
          "whyItWorks": "Solves the topic-not-thesis trap and the stake-less recommendation trap simultaneously. A single declarative sentence with a verb forces the speaker's stance into the room; routing the consequence through the word 'you' translates internal urgency into the audience's currency. The result is short enough to be repeated after the meeting — and that repetition is the persuasion mechanism.",
          "antipattern": "A topic dressed as a thesis ('Sustainability Roadmap 2026'), a stake attached to the speaker rather than the audience, two ideas spliced with 'and', abstract verbs (leverage / unlock / empower) that survive deletion, or writing the Big Idea after the deck is already built so the slides don't actually defend it.",
          "cardinality": null,
          "narrativePurpose": "Forces the deck to commit to a single declarative thesis before slide one — a sentence that names the speaker's stance and routes a consequence through the audience's currency. Acts as the filter every slide, anecdote, and chart must ladder up to."
        }
      ],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 12,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 7,
          "name": "Problem & Complication",
          "beatId": "ba081b17-b42a-4a37-bffd-5f304612c26b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Problem & Complication",
            "slug": "consultants-gambit-problem-complication",
            "status": "active",
            "canonId": "019dd9b8-064a-777f-a374-e9a8c43dedd4",
            "version": 1,
            "description": null
          },
          "evidence": "Key takeaways on generative AI expertise, emotions, and pressures",
          "position": 1,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Complication",
            "slug": "complication",
            "status": "active",
            "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579",
            "version": 1,
            "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [
        {
          "to": 22,
          "from": 11,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "8dd0f86a-2675-4c7a-b842-0728e098e8e2",
          "evidence": "Slides discussing current efforts, societal impacts, and leader concerns",
          "position": 0,
          "objective": "Highlighting the risks of not adopting generative AI",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:04:43.285994+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 12,
      "type": "resolution",
      "function": "summarize",
      "rawType": "key_takeaways",
      "block": null,
      "metadata": {
        "slideType": "key_takeaways",
        "slideTypeCanon": {
          "name": "Key takeaways",
          "slug": "key_takeaways",
          "status": "active",
          "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "overcrowded",
        "densityScore": 88,
        "componentCount": 10,
        "textChars": 1687,
        "nDataPoints": 1,
        "notes": null,
        "elementsJson": [
          "paragraph",
          "big_number",
          "photo"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:53.496+00",
          "seconds": 3.759,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/12",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-12",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "91% of all organizations expect their productivity to increase due to generative AI.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:08+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8542-d6c8c661f5e0",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 1,
            "w": 0.374,
            "x": 0.626,
            "y": 0
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.496+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "fb885ae1-3b97-4eeb-915d-ddbe9395869d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.12,
            "x": 0.087,
            "y": 0.81
          },
          "kind": "metric",
          "text": "91%",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": null,
            "subkind": {
              "name": "Big number",
              "slug": "big-number",
              "status": "active",
              "canonId": "019de52c-fc70-70c8-b965-0584548a9204",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "big-number",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.496+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "aa495391-daa9-41a9-906d-891585bafc68",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "productivity increase expectation: 91%",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:08+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8542-d83f3de7e602",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.11,
            "w": 0.56,
            "x": 0.068,
            "y": 0.29
          },
          "kind": "paragraph",
          "text": "As more organizations gain expertise and experience with generative AI, will they reinvest their dividends from improving efficiency and productivity toward pursuing more strategic benefits such as innovation and growth? Or will they use those dividends in other ways? This is another area we'll be monitoring closely in future pulse surveys.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.496+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "043d335a-ebcd-437c-9a77-4560817b9038",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.13,
            "w": 0.56,
            "x": 0.068,
            "y": 0.44
          },
          "kind": "paragraph",
          "text": "Certainly, productivity and efficiency can be transformational, especially given the massive scale generative AI has the potential to enable. However, the greatest value and strategic differentiation will likely come from using the technology to innovate. First, by helping to generate new products, services and capabilities that wouldn't be possible otherwise. And, second, by enabling new business models and ways of working across an enterprise.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.496+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "1d5b7688-bf29-4424-808c-24351f0d8c69",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.09,
            "w": 0.56,
            "x": 0.068,
            "y": 0.17
          },
          "kind": "paragraph",
          "text": "their bigger focus. In addition, nearly three-quarters of organizations that cited very high generative AI expertise had already begun integrating the technology into their product development and R&D activities, which are key drivers of innovation and growth.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.496+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "3a47472a-818a-4f64-bc22-97219f44b3e6",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.06,
            "w": 0.35,
            "x": 0.21,
            "y": 0.82
          },
          "kind": "paragraph",
          "text": "of all organizations expect their productivity to increase due to generative AI.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.496+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "41f3877c-7330-43c9-9f15-70507b564a9e",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.11,
            "w": 0.56,
            "x": 0.068,
            "y": 0.63
          },
          "kind": "paragraph",
          "text": "In addition, organizations that cited very high generative AI expertise were already taking a much more comprehensive approach than average, with significantly higher adoption levels across a broad range of functional areas. In specific areas such as HR, and legal, risk and compliance, those organizations' generative AI adoption rates were nearly three times higher than for the total respondent pool (figure 6).",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.496+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "9750e1bf-c73e-44f3-98b1-f8e534ce8110",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.17,
            "x": 0.068,
            "y": 0.118
          },
          "kind": "title",
          "text": "Now: Key findings",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.496+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e19eb46a-33be-4410-b7b2-b388bf9871fd",
          "parentComponentId": null
        }
      ],
      "metrics": [
        {
          "metricRaw": "productivity increase expectation",
          "numberRaw": "91%",
          "numberKind": "percent",
          "actionTitle": null,
          "calloutText": "91% of all organizations expect their productivity to increase due to generative AI.",
          "numberScale": null,
          "numberValue": 91,
          "metricFamily": "employment",
          "numberCurrency": null
        }
      ],
      "tools": [
        {
          "tool": {
            "name": "Logical chain",
            "slug": "logical-chain",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd9e1-5104-702f-8953-85757af6553d",
            "version": 1,
            "bodyDocId": null,
            "description": "If-then, premise-conclusion, deductive chain.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "dff9b014-fc18-4a38-8e38-c1017a253a96",
          "evidence": "productivity and efficiency can be transformational, especially given the massive scale generative AI has the potential to enable.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:10:28.278868+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 12,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": "common",
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 12,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 7,
          "name": "Problem & Complication",
          "beatId": "ba081b17-b42a-4a37-bffd-5f304612c26b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Problem & Complication",
            "slug": "consultants-gambit-problem-complication",
            "status": "active",
            "canonId": "019dd9b8-064a-777f-a374-e9a8c43dedd4",
            "version": 1,
            "description": null
          },
          "evidence": "Key takeaways on generative AI expertise, emotions, and pressures",
          "position": 1,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Complication",
            "slug": "complication",
            "status": "active",
            "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579",
            "version": 1,
            "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [
        {
          "to": 22,
          "from": 11,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "8dd0f86a-2675-4c7a-b842-0728e098e8e2",
          "evidence": "Slides discussing current efforts, societal impacts, and leader concerns",
          "position": 0,
          "objective": "Highlighting the risks of not adopting generative AI",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:04:43.285994+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 13,
      "type": "analysis",
      "title": "The chart displays adoption rates across 8 functions and 5 expertise levels (Total, Little, Some, High, Very high).",
      "function": "analyze_data",
      "rawType": "data_table",
      "block": null,
      "metadata": {
        "slideType": "data_table",
        "slideTypeCanon": {
          "name": "Data table",
          "slug": "data_table",
          "status": "active",
          "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8",
          "version": 1,
          "description": null
        },
        "function": "analyze_data",
        "functionCanon": {
          "name": "Analyze data",
          "slug": "analyze_data",
          "status": "active",
          "canonId": "019de52d-1590-7413-8c82-cc218cff40b4",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 48,
        "componentCount": 6,
        "textChars": 373,
        "nDataPoints": 40,
        "notes": "The chart displays adoption rates across 8 functions and 5 expertise levels (Total, Little, Some, High, Very high).",
        "elementsJson": [
          "data_table",
          "other"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:55.714+00",
          "seconds": 5.958,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/13",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-13",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.75,
            "w": 0.65,
            "x": 0.28,
            "y": 0.15
          },
          "kind": "chart",
          "text": "Bubble chart showing adoption percentages by function and expertise level",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Bubble chart",
              "slug": "bubble",
              "status": "active",
              "canonId": "019de52d-00a4-756f-8978-8d5e48905dbc",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bubble",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:55.714+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "807d984f-b1b8-4bdc-b496-6920c8ce9a71",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "Generative AI adoption rate: 73%",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:09+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8543-4e6016111a7d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.12,
            "w": 0.22,
            "x": 0.068,
            "y": 0.78
          },
          "kind": "paragraph",
          "text": "Q: What is your organization's current adoption level of generative AI across the following functions? (Oct./Dec. 2023) N (Total) = 2,835; N (Very high) = 267; N (High) = 1,003; N (Some) = 1,273; N (Little) = 274",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:55.714+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "2c33b075-162b-466b-b013-21f0b78ec664",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.06,
            "x": 0.068,
            "y": 0.72
          },
          "kind": "source-note",
          "text": "Figure 6",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:55.714+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "eb38a9c8-06c2-4ea5-b298-3a122ced6052",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.21,
            "x": 0.068,
            "y": 0.168
          },
          "kind": "title",
          "text": "Level of generative AI adoption",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:55.714+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0dc831c3-f9e2-438c-a6ae-ffdea9666b39",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.02,
            "w": 0.11,
            "x": 0.068,
            "y": 0.115
          },
          "kind": "title",
          "text": "Now: Key findings",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Subtitle",
              "slug": "subtitle",
              "status": "active",
              "canonId": "019de52c-fb09-739d-900c-815b0d9ac526",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "subtitle",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:55.714+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d42cecbc-0dc3-4c2a-a018-7f0cd51d8be6",
          "parentComponentId": null
        }
      ],
      "metrics": [
        {
          "metricRaw": "Generative AI adoption rate",
          "numberRaw": "73%",
          "numberKind": "percent",
          "actionTitle": null,
          "calloutText": null,
          "numberScale": null,
          "numberValue": 73,
          "metricFamily": "share_penetration",
          "numberCurrency": null
        }
      ],
      "tools": [
        {
          "tool": {
            "name": "Data-Ink Ratio",
            "slug": "data-ink-ratio",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-afc8-70da-b378-92834d36fde6",
            "version": 1,
            "bodyDocId": null,
            "description": "Maximize data, minimize non-data ink - remove chartjunk and decoration",
            "familyLabel": null,
            "categoryName": "Slide",
            "categorySlug": "slide"
          },
          "agent": "Designer",
          "layer": "slide",
          "agents": [
            "Designer"
          ],
          "matchId": "023866f7-19be-47e0-9049-55d65c351dff",
          "evidence": "chart/bubble: Bubble chart showing adoption percentages by function and expertise level",
          "pageRefs": null,
          "priority": "Core",
          "whenToUse": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 21:10:28.357862+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 13,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 20,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 13,
          "name": "Evidence & Proof",
          "beatId": "1a670dc9-17c6-4a45-80e7-2c0b658fed5b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Evidence & Proof",
            "slug": "consultants-gambit-evidence-proof",
            "status": "active",
            "canonId": "019dd9b8-07b1-7688-8e1e-7637fec3802a",
            "version": 1,
            "description": null
          },
          "evidence": "Data tables, industry trends, and risk register",
          "position": 2,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Evidence",
            "slug": "evidence",
            "status": "active",
            "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a",
            "version": 1,
            "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [
        {
          "to": 22,
          "from": 11,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "8dd0f86a-2675-4c7a-b842-0728e098e8e2",
          "evidence": "Slides discussing current efforts, societal impacts, and leader concerns",
          "position": 0,
          "objective": "Highlighting the risks of not adopting generative AI",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:04:43.285994+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 14,
      "type": "setup",
      "title": "The slide uses a rhetorical question as a title to frame the discussion around historical technology adoption patterns.",
      "function": "establish_context",
      "rawType": "key_messages",
      "block": null,
      "metadata": {
        "slideType": "key_messages",
        "slideTypeCanon": {
          "name": "Key messages",
          "slug": "key_messages",
          "status": "active",
          "canonId": "019de52d-0712-703f-89f5-bda6688faf3f",
          "version": 1,
          "description": null
        },
        "function": "establish_context",
        "functionCanon": {
          "name": "Establish context",
          "slug": "establish_context",
          "status": "active",
          "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf",
          "version": 1,
          "description": null
        },
        "density": "overcrowded",
        "densityScore": 77,
        "componentCount": 8,
        "textChars": 2144,
        "nDataPoints": 0,
        "notes": "The slide uses a rhetorical question as a title to frame the discussion around historical technology adoption patterns.",
        "elementsJson": [
          "headline_text",
          "paragraph"
        ],
        "confidence": 0.9,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 21:24:27.543+00",
          "seconds": 8.161,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/14",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-14",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "Generative AI's speed factor may give organizations less time to ruminate or dabble with small-scale pilots—while reducing the margin for error—and increasing the consequences of inaction.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:09+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8543-3fa6c4997dee",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.5,
            "w": 0.5,
            "x": 0.5,
            "y": 0.5
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 21:24:27.543+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ce65b12d-1bef-4225-9f33-d85ad10d58bd",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.28,
            "x": 0.36,
            "y": 0.4
          },
          "kind": "paragraph",
          "text": "Despite generative AI ’s greatly accelerated pace, understanding typical adoption patterns based on previous breakthrough technologies can provide valuable lessons that leaders can use to help them understand and fully capitalize on the technology’s rapid advancement.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 21:24:27.543+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "1c1ef9d8-f985-44bf-b2b0-dad075592460",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.28,
            "x": 0.06,
            "y": 0.45
          },
          "kind": "paragraph",
          "text": "Generative AI is already widely available to the public and has a running start toward critical mass. Also, similar to smartphones, it’s easy for an average person to use without much training—and can help with activities they already engage in every day—so the barriers to adoption are low. What’s more, generative AI has the strong potential to assist with its own future development, which could trigger a cycle of exponential improvement at exponential speed.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 21:24:27.543+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "66ca668e-6d33-46ef-ae2c-8c59c932b82a",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.28,
            "x": 0.36,
            "y": 0.22
          },
          "kind": "paragraph",
          "text": "Generative AI’s speed factor may give organizations less time to ruminate or dabble with small-scale pilots—while reducing the margin for error—and increasing the consequences of inaction. It also creates opportunities to generate extraordinary business value very quickly.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 21:24:27.543+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "8788f4dc-8aea-47ab-a093-49b824f073d9",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.45,
            "w": 0.28,
            "x": 0.66,
            "y": 0.22
          },
          "kind": "paragraph",
          "text": "As in the past, organizations’ initial efforts will likely center around efficiency, productivity, cost savings and other incremental improvements. This is expected to help the workforce get accustomed to using generative AI, and will show people how it can help make their jobs easier. Also, early wins will likely help produce cost savings and momentum that then can be channeled into higher value opportunities that are more strategic and differentiated in nature, such as enabling new products, services, business models and ways of working that simply weren’t possible before generative AI.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 21:24:27.543+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b3b05fef-c39c-42b6-9dac-626c966e3771",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.28,
            "x": 0.06,
            "y": 0.22
          },
          "kind": "paragraph",
          "text": "The term “unprecedented” is often thrown around when talking about business and technology, to the point of being cliché. However, in describing the pace of generative AI’s emergence and advancement—and its massive potential impact on business (and humanity as a whole)—unprecedented could be an understatement.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 21:24:27.543+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f634213b-8c8f-4196-9e25-cf2d6772b33b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.65,
            "x": 0.06,
            "y": 0.1
          },
          "kind": "title",
          "text": "Generative AI: Have we seen this movie before?",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 21:24:27.543+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "a62b9332-d196-4872-8f3e-70f304a858ab",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Monroe's Motivated Sequence",
            "slug": "monroes-motivated-sequence",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-8758-700f-83cf-d260a54ad24f",
            "version": 1,
            "bodyDocId": null,
            "description": "Five-step persuasion: Attention, Need, Satisfaction, Visualization, Action",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "f4289728-a216-4229-be6b-d6827c648dee",
          "evidence": "As in the past, organizations’ initial efforts will likely center around efficiency, productivity, cost savings and other incremental improvements.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:10:28.437378+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 14,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "acd097e7-cb8e-4342-8eeb-109be2e5439f",
          "evidence": "The slide compares Generative AI adoption to previous breakthrough technologies and smartphones.",
          "framework": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-05-02 21:24:27.543+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 14,
          "frameworkName": "argument-from-analogy"
        }
      ],
      "arcBeats": [
        {
          "to": 20,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 13,
          "name": "Evidence & Proof",
          "beatId": "1a670dc9-17c6-4a45-80e7-2c0b658fed5b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Evidence & Proof",
            "slug": "consultants-gambit-evidence-proof",
            "status": "active",
            "canonId": "019dd9b8-07b1-7688-8e1e-7637fec3802a",
            "version": 1,
            "description": null
          },
          "evidence": "Data tables, industry trends, and risk register",
          "position": 2,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Evidence",
            "slug": "evidence",
            "status": "active",
            "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a",
            "version": 1,
            "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [
        {
          "to": 22,
          "from": 11,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "8dd0f86a-2675-4c7a-b842-0728e098e8e2",
          "evidence": "Slides discussing current efforts, societal impacts, and leader concerns",
          "position": 0,
          "objective": "Highlighting the risks of not adopting generative AI",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:04:43.285994+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        },
        {
          "to": 20,
          "from": 14,
          "loop": {
            "name": "28_ladder_abstraction",
            "slug": "28-ladder-abstraction",
            "status": "active",
            "bestFor": "Training, thought leadership, making complex ideas accessible",
            "canonId": "019dd956-7130-74be-a168-9f76c603044d",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Concrete Example -> The Pattern It Represents -> The Universal Principle -> Back to Specific Application",
            "description": "Move between concrete examples and abstract principles to make ideas stick",
            "familyLabel": null
          },
          "matchId": "a8072f27-eff0-49bb-9470-efca58d935fc",
          "evidence": "Slides on off-the-shelf solutions, talent, governance, and risk",
          "position": 1,
          "objective": "Showing the complexity of generative AI adoption",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:04:43.318224+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 15,
      "type": "resolution",
      "title": "The slide contrasts current tactical adoption with future potential for strategic, differentiated use cases.",
      "function": "summarize",
      "rawType": "key_takeaways",
      "block": null,
      "metadata": {
        "slideType": "key_takeaways",
        "slideTypeCanon": {
          "name": "Key takeaways",
          "slug": "key_takeaways",
          "status": "active",
          "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "overcrowded",
        "densityScore": 93,
        "componentCount": 12,
        "textChars": 1993,
        "nDataPoints": 4,
        "notes": "The slide contrasts current tactical adoption with future potential for strategic, differentiated use cases.",
        "elementsJson": [
          "headline_text",
          "action_title",
          "paragraph",
          "callout_box",
          "big_number"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:54.664+00",
          "seconds": 4.4,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/15",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-15",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.06,
            "w": 0.25,
            "x": 0.64,
            "y": 0.245
          },
          "kind": "callout",
          "text": "Where off-the-shelf generative AI is used most",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": null,
            "subkind": {
              "name": "Primary callout",
              "slug": "primary",
              "status": "active",
              "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.664+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "a371ce0d-159e-413b-a51e-30d9f7beaced",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "callout",
          "text": "In line with their current emphasis on tactical benefits from generative AI, the vast majority of respondents were currently relying on off-the-shelf solutions.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:09+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8543-252bd9383cc4",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.25,
            "x": 0.64,
            "y": 0.66
          },
          "kind": "metric",
          "text": "56% Public LLMs",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": null,
            "subkind": {
              "name": "Big number",
              "slug": "big-number",
              "status": "active",
              "canonId": "019de52c-fc70-70c8-b965-0584548a9204",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "big-number",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.664+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "28eeeb1e-df36-4645-9bd6-de5f18f50dfa",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.25,
            "x": 0.64,
            "y": 0.36
          },
          "kind": "metric",
          "text": "71% Productivity applications",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": null,
            "subkind": {
              "name": "Big number",
              "slug": "big-number",
              "status": "active",
              "canonId": "019de52c-fc70-70c8-b965-0584548a9204",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "big-number",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.664+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "94d3203f-779f-4b4d-8118-e4a7b36cf877",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.25,
            "x": 0.64,
            "y": 0.46
          },
          "kind": "metric",
          "text": "68% Standard applications",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": null,
            "subkind": {
              "name": "Big number",
              "slug": "big-number",
              "status": "active",
              "canonId": "019de52c-fc70-70c8-b965-0584548a9204",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "big-number",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.664+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b3fd705f-d89e-4b30-a6e6-23dfac8a5375",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.25,
            "x": 0.64,
            "y": 0.56
          },
          "kind": "metric",
          "text": "61% Enterprise platforms",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": null,
            "subkind": {
              "name": "Big number",
              "slug": "big-number",
              "status": "active",
              "canonId": "019de52c-fc70-70c8-b965-0584548a9204",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "big-number",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.664+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "eed9908d-c760-498d-99c1-8947687d5883",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "Adoption rate: 71%",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:09+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8543-28e85f587910",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.18,
            "w": 0.5,
            "x": 0.06,
            "y": 0.71
          },
          "kind": "paragraph",
          "text": "When will we see complex, high-value use cases that are truly differentiated and tailored to the specialized needs of specific companies, functions and industries? How will organizations combine internal and external resources to create customized generative AI tools that enable such strategic differentiation? In particular, will we see off-the-shelf technology offerings be supplemented by private or hybrid public/private development approaches and technology infrastructures capable of delivering and supporting those differentiated solutions?",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.664+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0d192142-a517-4546-90a0-f0aefd3c5ca3",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.5,
            "x": 0.06,
            "y": 0.27
          },
          "kind": "paragraph",
          "text": "In line with their current emphasis on tactical benefits from generative AI, the vast majority of respondents were currently relying on off-the-shelf solutions. These included productivity applications with integrated generative AI (71%); enterprise platforms with integrated generative AI (61%); standard generative AI applications (68%); and publicly available large language models (LLMs) (56%), such as ChatGPT.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.664+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "26793f23-7732-4807-b9ba-2233e8256887",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.12,
            "w": 0.5,
            "x": 0.06,
            "y": 0.56
          },
          "kind": "paragraph",
          "text": "Reliance on standard, off-the-shelf solutions is consistent with the current early phase of generative AI adoption, which is primarily focused on improving the efficiency and productivity of existing activities. However, as use cases for generative AI become more specialized, differentiated and strategic, the associated development approaches and technology infrastructure will likely follow suit.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.664+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "a4a46af8-f19b-4621-a558-c4aef38aebc8",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.5,
            "x": 0.06,
            "y": 0.45
          },
          "kind": "paragraph",
          "text": "Relatively few reported using more narrowly focused and differentiated generative AI solutions, such as industry-specific software applications (23%), private LLMs (32%), and/or open-source LLMs (customized to their business) (25%).",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.664+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "daaaa2fd-c17f-4c3c-ad53-f8037971d2c4",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.5,
            "x": 0.06,
            "y": 0.15
          },
          "kind": "title",
          "text": "Most organizations are primarily relying on off-the-shelf generative AI solutions.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.664+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4496db00-d9df-4bf4-9934-864ab1e77b68",
          "parentComponentId": null
        }
      ],
      "metrics": [
        {
          "metricRaw": "Adoption rate",
          "numberRaw": "71%",
          "numberKind": "percent",
          "actionTitle": "Most organizations are primarily relying on off-the-shelf generative AI solutions.",
          "calloutText": "In line with their current emphasis on tactical benefits from generative AI, the vast majority of respondents were currently relying on off-the-shelf solutions.",
          "numberScale": null,
          "numberValue": 71,
          "metricFamily": "share_penetration",
          "numberCurrency": null
        }
      ],
      "tools": [
        {
          "tool": {
            "name": "Audience Persona",
            "slug": "audience-persona",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-7fe3-74e9-88b8-be0bea34f219",
            "version": 1,
            "bodyDocId": null,
            "description": "Detailed fictional profile of typical audience member including goals, frustrations, and context",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "1027de73-d818-4554-9601-7d0776ee2bf0",
          "evidence": "In line with their current emphasis on tactical benefits from generative AI, the vast majority of respondents were currently relying on off-the-shelf solutions.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:10:28.515998+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 15,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 20,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 13,
          "name": "Evidence & Proof",
          "beatId": "1a670dc9-17c6-4a45-80e7-2c0b658fed5b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Evidence & Proof",
            "slug": "consultants-gambit-evidence-proof",
            "status": "active",
            "canonId": "019dd9b8-07b1-7688-8e1e-7637fec3802a",
            "version": 1,
            "description": null
          },
          "evidence": "Data tables, industry trends, and risk register",
          "position": 2,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Evidence",
            "slug": "evidence",
            "status": "active",
            "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a",
            "version": 1,
            "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [
        {
          "to": 22,
          "from": 11,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "8dd0f86a-2675-4c7a-b842-0728e098e8e2",
          "evidence": "Slides discussing current efforts, societal impacts, and leader concerns",
          "position": 0,
          "objective": "Highlighting the risks of not adopting generative AI",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:04:43.285994+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        },
        {
          "to": 20,
          "from": 14,
          "loop": {
            "name": "28_ladder_abstraction",
            "slug": "28-ladder-abstraction",
            "status": "active",
            "bestFor": "Training, thought leadership, making complex ideas accessible",
            "canonId": "019dd956-7130-74be-a168-9f76c603044d",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Concrete Example -> The Pattern It Represents -> The Universal Principle -> Back to Specific Application",
            "description": "Move between concrete examples and abstract principles to make ideas stick",
            "familyLabel": null
          },
          "matchId": "a8072f27-eff0-49bb-9470-efca58d935fc",
          "evidence": "Slides on off-the-shelf solutions, talent, governance, and risk",
          "position": 1,
          "objective": "Showing the complexity of generative AI adoption",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:04:43.318224+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 16,
      "type": "resolution",
      "title": "The slide uses a 'Now: Key findings' header and includes a reference to 'figure 7'.",
      "function": "summarize",
      "rawType": "key_takeaways",
      "block": null,
      "metadata": {
        "slideType": "key_takeaways",
        "slideTypeCanon": {
          "name": "Key takeaways",
          "slug": "key_takeaways",
          "status": "active",
          "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "overcrowded",
        "densityScore": 86,
        "componentCount": 9,
        "textChars": 1515,
        "nDataPoints": 4,
        "notes": "The slide uses a 'Now: Key findings' header and includes a reference to 'figure 7'.",
        "elementsJson": [
          "headline_text",
          "paragraph",
          "photo"
        ],
        "confidence": 0.95,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:53.555+00",
          "seconds": 3.284,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/16",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-16",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.03,
            "w": 0.35,
            "x": 0.06,
            "y": 0.56
          },
          "kind": "callout",
          "text": "Generative AI barriers related to risk and governance",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": null,
            "subkind": {
              "name": "Primary callout",
              "slug": "primary",
              "status": "active",
              "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.555+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "5c424adc-37f7-467c-a07a-a47358676306",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "callout",
          "text": "When it comes to risk and governance, generative AI is definitely not “just another technology.”",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:09+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8543-667c1a2e3360",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 1,
            "w": 0.38,
            "x": 0.62,
            "y": 0
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.555+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f580656f-25cf-4630-980b-cc524f7cd9db",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "preparedness level: 41%",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:09+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8543-683195b0d7dc",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.45,
            "x": 0.06,
            "y": 0.47
          },
          "kind": "paragraph",
          "text": "Larger percentages of leaders reported high to very high levels of preparedness in technology infrastructure (40%) and strategy (34%); however, the survey results show there is still significant room for improvement.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.555+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "04e6630f-5f36-448b-a8c8-b1b9151f7343",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.18,
            "w": 0.45,
            "x": 0.06,
            "y": 0.6
          },
          "kind": "paragraph",
          "text": "When it comes to risk and governance, generative AI is definitely not “just another technology.” The fundamental challenge is how to capitalize on artificial intelligence’s power without losing control of it. After all, the capability people seem to find most enthralling about generative AI is its ability to so convincingly simulate human thinking and behavior. Of course, human thinking and behavior aren't always perfect, predictable or socially acceptable—and the same is true for the technology, itself.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.555+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "33ecaa68-b353-4479-b103-4423e9ef1c56",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.18,
            "w": 0.45,
            "x": 0.06,
            "y": 0.28
          },
          "kind": "paragraph",
          "text": "In this initial quarterly survey, 41% of leaders reported their organizations were only slightly or not at all prepared to address talent concerns related to generative AI adoption, while 22% considered their organizations highly or very highly prepared. Similarly, 41% of leaders reported their organizations were only slightly or not at all prepared to address governance and risk concerns related to generative AI adoption, while 25% considered their organizations highly or very highly prepared (figure 7).",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.555+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "44a3b69c-851e-4967-94fc-603a24d26f9e",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.45,
            "x": 0.06,
            "y": 0.16
          },
          "kind": "title",
          "text": "Talent, governance and risk are critical areas where generative AI preparedness is lacking.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Action title",
              "slug": "action-title",
              "status": "active",
              "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "action-title",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.555+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ba313940-9522-4ab2-bda7-3352c959920f",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.15,
            "x": 0.06,
            "y": 0.11
          },
          "kind": "title",
          "text": "Now: Key findings",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.555+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7bb0ff44-f43f-4fa0-98fc-5384a5975c75",
          "parentComponentId": null
        }
      ],
      "metrics": [
        {
          "metricRaw": "preparedness level",
          "numberRaw": "41%",
          "numberKind": "percent",
          "actionTitle": "Talent, governance and risk are critical areas where generative AI preparedness is lacking.",
          "calloutText": "When it comes to risk and governance, generative AI is definitely not “just another technology.”",
          "numberScale": null,
          "numberValue": 41,
          "metricFamily": "other",
          "numberCurrency": null
        }
      ],
      "tools": [
        {
          "tool": {
            "name": "Problem Statement Canvas",
            "slug": "problem-statement-canvas",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-839d-744b-ad11-9bf3e3642a18",
            "version": 1,
            "bodyDocId": null,
            "description": "Structured definition of the problem: What? Who? Where? When? Scale?",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Architect",
          "layer": "slide",
          "agents": [
            "Architect"
          ],
          "matchId": "599b499a-14c1-44dc-b453-021aae2cc08b",
          "evidence": "Talent, governance and risk are critical areas where generative AI preparedness is lacking.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:10:28.594044+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 16,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 20,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 13,
          "name": "Evidence & Proof",
          "beatId": "1a670dc9-17c6-4a45-80e7-2c0b658fed5b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Evidence & Proof",
            "slug": "consultants-gambit-evidence-proof",
            "status": "active",
            "canonId": "019dd9b8-07b1-7688-8e1e-7637fec3802a",
            "version": 1,
            "description": null
          },
          "evidence": "Data tables, industry trends, and risk register",
          "position": 2,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Evidence",
            "slug": "evidence",
            "status": "active",
            "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a",
            "version": 1,
            "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [
        {
          "to": 22,
          "from": 11,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "8dd0f86a-2675-4c7a-b842-0728e098e8e2",
          "evidence": "Slides discussing current efforts, societal impacts, and leader concerns",
          "position": 0,
          "objective": "Highlighting the risks of not adopting generative AI",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:04:43.285994+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        },
        {
          "to": 20,
          "from": 14,
          "loop": {
            "name": "28_ladder_abstraction",
            "slug": "28-ladder-abstraction",
            "status": "active",
            "bestFor": "Training, thought leadership, making complex ideas accessible",
            "canonId": "019dd956-7130-74be-a168-9f76c603044d",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Concrete Example -> The Pattern It Represents -> The Universal Principle -> Back to Specific Application",
            "description": "Move between concrete examples and abstract principles to make ideas stick",
            "familyLabel": null
          },
          "matchId": "a8072f27-eff0-49bb-9470-efca58d935fc",
          "evidence": "Slides on off-the-shelf solutions, talent, governance, and risk",
          "position": 1,
          "objective": "Showing the complexity of generative AI adoption",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:04:43.318224+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 17,
      "type": "analysis",
      "title": "The chart uses a 5-point Likert scale for preparedness.",
      "function": "analyze_data",
      "rawType": "data_table",
      "block": null,
      "metadata": {
        "slideType": "data_table",
        "slideTypeCanon": {
          "name": "Data table",
          "slug": "data_table",
          "status": "active",
          "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8",
          "version": 1,
          "description": null
        },
        "function": "analyze_data",
        "functionCanon": {
          "name": "Analyze data",
          "slug": "analyze_data",
          "status": "active",
          "canonId": "019de52d-1590-7413-8c82-cc218cff40b4",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 56,
        "componentCount": 6,
        "textChars": 591,
        "nDataPoints": 20,
        "notes": "The chart uses a 5-point Likert scale for preparedness.",
        "elementsJson": [
          "bar_chart_stacked",
          "callout_box"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:53.027+00",
          "seconds": 2.635,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/17",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-17",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.06,
            "w": 0.512,
            "x": 0.445,
            "y": 0.118
          },
          "kind": "callout",
          "text": "Respondents claimed the highest levels of preparation in technology and strategy, while feeling far less prepared in risk and talent.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": null,
            "subkind": {
              "name": "Primary callout",
              "slug": "primary",
              "status": "active",
              "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.027+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "278d2823-f00f-4aec-bc96-385468a9a6ce",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.37,
            "w": 0.665,
            "x": 0.068,
            "y": 0.328
          },
          "kind": "chart",
          "text": "Stacked bar chart showing preparedness levels for Technology infrastructure, Strategy, Risk & governance, and Talent.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Stacked bar chart (100%)",
              "slug": "bar-stacked-100pct",
              "status": "active",
              "canonId": "019de52c-ff14-71b8-8d88-860f8d7da84b",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bar-stacked-100pct",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.027+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "fd5a08ae-e4a4-4c01-8ab2-d4e6422ff7fb",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.13,
            "x": 0.792,
            "y": 0.435
          },
          "kind": "legend",
          "text": "Not prepared, Slightly prepared, Moderately prepared, Highly prepared, Very highly prepared",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Legend",
              "slug": "legend",
              "status": "active",
              "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c",
              "version": 1,
              "description": "Color/symbol decoder placed adjacent to a chart or diagram."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.027+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7c3d5349-b02c-4b54-9de7-674b15327900",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "Preparedness level",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:09+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8543-11e0db9bd5c1",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.6,
            "x": 0.068,
            "y": 0.78
          },
          "kind": "paragraph",
          "text": "Figure 7\nQ: Consider the following areas. For each, rate your organization's level of preparedness with respect to broadly adopting generative AI tools / applications?\n(Oct./Dec. 2023) N (Total) = 2,835",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.027+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "dee92849-4b00-47bf-86b0-7277c10a4ca5",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.035,
            "w": 0.335,
            "x": 0.068,
            "y": 0.158
          },
          "kind": "title",
          "text": "Preparedness for generative AI",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.027+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e99e4a8f-d663-4155-9fa6-7c81e1f1bbb1",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Chartjunk Elimination",
            "slug": "chartjunk-elimination",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-b49e-7453-ab01-b60f338eeda1",
            "version": 1,
            "bodyDocId": null,
            "description": "Remove decorative elements that don't convey data: 3D effects, shadows, unnecessary gridlines",
            "familyLabel": null,
            "categoryName": "Slide",
            "categorySlug": "slide"
          },
          "agent": "Designer",
          "layer": "slide",
          "agents": [
            "Designer"
          ],
          "matchId": "d35f692c-eba8-4f34-9adc-d5373c17ea37",
          "evidence": "chart/bar-stacked-100pct: Stacked bar chart showing preparedness levels for Technology infrastructure, Strategy, Risk & governance, and Talent.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 21:10:28.673381+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 17,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 20,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 13,
          "name": "Evidence & Proof",
          "beatId": "1a670dc9-17c6-4a45-80e7-2c0b658fed5b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Evidence & Proof",
            "slug": "consultants-gambit-evidence-proof",
            "status": "active",
            "canonId": "019dd9b8-07b1-7688-8e1e-7637fec3802a",
            "version": 1,
            "description": null
          },
          "evidence": "Data tables, industry trends, and risk register",
          "position": 2,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Evidence",
            "slug": "evidence",
            "status": "active",
            "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a",
            "version": 1,
            "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [
        {
          "to": 22,
          "from": 11,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "8dd0f86a-2675-4c7a-b842-0728e098e8e2",
          "evidence": "Slides discussing current efforts, societal impacts, and leader concerns",
          "position": 0,
          "objective": "Highlighting the risks of not adopting generative AI",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:04:43.285994+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        },
        {
          "to": 20,
          "from": 14,
          "loop": {
            "name": "28_ladder_abstraction",
            "slug": "28-ladder-abstraction",
            "status": "active",
            "bestFor": "Training, thought leadership, making complex ideas accessible",
            "canonId": "019dd956-7130-74be-a168-9f76c603044d",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Concrete Example -> The Pattern It Represents -> The Universal Principle -> Back to Specific Application",
            "description": "Move between concrete examples and abstract principles to make ideas stick",
            "familyLabel": null
          },
          "matchId": "a8072f27-eff0-49bb-9470-efca58d935fc",
          "evidence": "Slides on off-the-shelf solutions, talent, governance, and risk",
          "position": 1,
          "objective": "Showing the complexity of generative AI adoption",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:04:43.318224+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 18,
      "type": "analysis",
      "title": "The slide uses a custom bubble-path diagram to visualize survey data on risk management actions.",
      "function": "diagnose",
      "rawType": "risk_register",
      "block": null,
      "metadata": {
        "slideType": "risk_register",
        "slideTypeCanon": {
          "name": "Risk register",
          "slug": "risk_register",
          "status": "active",
          "canonId": "019de52d-0dee-7220-9713-5179f9ebc41c",
          "version": 1,
          "description": null
        },
        "function": "diagnose",
        "functionCanon": {
          "name": "Diagnose",
          "slug": "diagnose",
          "status": "active",
          "canonId": "019de52d-1657-7223-acc5-7437d878c850",
          "version": 1,
          "description": null
        },
        "density": "overcrowded",
        "densityScore": 85,
        "componentCount": 8,
        "textChars": 2296,
        "nDataPoints": 13,
        "notes": "The slide uses a custom bubble-path diagram to visualize survey data on risk management actions.",
        "elementsJson": [
          "paragraph",
          "bubble_chart",
          "headline_text"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:54.241+00",
          "seconds": 3.832,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/18",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-18",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "Some of the surveyed organizations were already actively managing generative AI implementation risks through actions such as monitoring regulatory requirements and ensuring compliance (47%).",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:09+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8543-7c7a0539e0b2",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.7,
            "w": 0.35,
            "x": 0.6,
            "y": 0.15
          },
          "kind": "chart",
          "text": "Bubble chart showing percentages of organizations taking specific risk management actions.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Bubble chart",
              "slug": "bubble",
              "status": "active",
              "canonId": "019de52d-00a4-756f-8978-8d5e48905dbc",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bubble",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.241+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "eb47a08b-5c1e-4bcf-8bdd-64bf999ddc35",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "Percentage of organizations: 47%",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:09+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8543-839a59a07ed1",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.35,
            "w": 0.45,
            "x": 0.05,
            "y": 0.1
          },
          "kind": "paragraph",
          "text": "Now: Key findings\nSpecific generative AI risks and concerns include inaccurate results and information (i.e., “hallucinations”); legal risks such as plagiarism, copyright infringement, and liability for errors; privacy and data ownership challenges; lack of transparency, explainability and accountability; and systemic bias. The latter exemplifies another category of risk in which AI amplifies and exacerbates a problem that already exists, such as propagating and systematizing existing social biases, facilitating and accelerating the spread of misinformation, helping criminals commit crimes, or fanning the flames of political divisiveness.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.241+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "5659f9d6-3d5b-4235-98a3-59420db08337",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.35,
            "w": 0.45,
            "x": 0.05,
            "y": 0.6
          },
          "kind": "paragraph",
          "text": "Some of the surveyed organizations were already actively managing generative AI implementation risks through actions such as monitoring regulatory requirements and ensuring compliance (47%), establishing a governance framework for generative AI (46%), and conducting internal audits and testing on generative AI tools and applications (42%) (figure 8). However, such organizations are in the minority and their actions barely scratch the surface of the challenge. This is especially true given that regulatory requirements typically lag behind the pace of technology innovation—although a US presidential executive order and the European Union’s ambitious Artificial Intelligence Act are clear signs government leaders in many parts of the world are taking the issue of AI risk very seriously.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.241+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "dfa1040a-4545-4623-bf3c-cfac379f45a5",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.45,
            "x": 0.05,
            "y": 0.45
          },
          "kind": "paragraph",
          "text": "According to the business and technology leaders we surveyed during fourth quarter 2023, the biggest concerns related to governance were: lack of confidence in results (36%), intellectual property issues (35%), misuse of client or customer data (34%), ability to comply with regulations (33%), and lack of explainability / transparency (31%).",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.241+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ee0fe906-7f8f-4cdf-b243-772f08a8a591",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.35,
            "x": 0.6,
            "y": 0.85
          },
          "kind": "source-note",
          "text": "Figure 8. Q: What is your organization currently doing to actively manage the risks around your generative AI implementations? (Oct./Dec. 2023) N (Total) = 2,835",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.241+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c58636a2-5a82-4da9-8ce0-076a338abe33",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.3,
            "x": 0.65,
            "y": 0.05
          },
          "kind": "title",
          "text": "Managing generative AI implementation risk",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.241+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "fdfe334d-58f3-4474-818b-088a0ab18a16",
          "parentComponentId": null
        }
      ],
      "metrics": [
        {
          "metricRaw": "Percentage of organizations",
          "numberRaw": "47%",
          "numberKind": "percent",
          "actionTitle": null,
          "calloutText": "Some of the surveyed organizations were already actively managing generative AI implementation risks through actions such as monitoring regulatory requirements and ensuring compliance (47%).",
          "numberScale": null,
          "numberValue": 47,
          "metricFamily": "survey_sentiment",
          "numberCurrency": null
        }
      ],
      "tools": [],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 20,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 13,
          "name": "Evidence & Proof",
          "beatId": "1a670dc9-17c6-4a45-80e7-2c0b658fed5b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Evidence & Proof",
            "slug": "consultants-gambit-evidence-proof",
            "status": "active",
            "canonId": "019dd9b8-07b1-7688-8e1e-7637fec3802a",
            "version": 1,
            "description": null
          },
          "evidence": "Data tables, industry trends, and risk register",
          "position": 2,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Evidence",
            "slug": "evidence",
            "status": "active",
            "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a",
            "version": 1,
            "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [
        {
          "to": 22,
          "from": 11,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "8dd0f86a-2675-4c7a-b842-0728e098e8e2",
          "evidence": "Slides discussing current efforts, societal impacts, and leader concerns",
          "position": 0,
          "objective": "Highlighting the risks of not adopting generative AI",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:04:43.285994+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        },
        {
          "to": 20,
          "from": 14,
          "loop": {
            "name": "28_ladder_abstraction",
            "slug": "28-ladder-abstraction",
            "status": "active",
            "bestFor": "Training, thought leadership, making complex ideas accessible",
            "canonId": "019dd956-7130-74be-a168-9f76c603044d",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Concrete Example -> The Pattern It Represents -> The Universal Principle -> Back to Specific Application",
            "description": "Move between concrete examples and abstract principles to make ideas stick",
            "familyLabel": null
          },
          "matchId": "a8072f27-eff0-49bb-9470-efca58d935fc",
          "evidence": "Slides on off-the-shelf solutions, talent, governance, and risk",
          "position": 1,
          "objective": "Showing the complexity of generative AI adoption",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:04:43.318224+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 19,
      "type": "analysis",
      "title": "Figure 9",
      "function": "analyze_data",
      "rawType": "industry_trends",
      "block": null,
      "metadata": {
        "slideType": "industry_trends",
        "slideTypeCanon": {
          "name": "Industry trends",
          "slug": "industry_trends",
          "status": "active",
          "canonId": "019de52d-0b1d-7705-a0e0-c663199cd1fa",
          "version": 1,
          "description": null
        },
        "function": "analyze_data",
        "functionCanon": {
          "name": "Analyze data",
          "slug": "analyze_data",
          "status": "active",
          "canonId": "019de52d-1590-7413-8c82-cc218cff40b4",
          "version": 1,
          "description": null
        },
        "density": "overcrowded",
        "densityScore": 80,
        "componentCount": 8,
        "textChars": 1284,
        "nDataPoints": 6,
        "notes": "Figure 9",
        "elementsJson": [
          "photo",
          "donut_chart",
          "paragraph"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:53.726+00",
          "seconds": 3.287,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/19",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-19",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "The vast majority of leaders we surveyed (72%) said they expect generative AI to drive changes in their talent strategies sometime within the next two years.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:13+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8544-f5ca6b0d725b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.55,
            "w": 0.28,
            "x": 0.676,
            "y": 0.18
          },
          "kind": "chart",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Donut chart",
              "slug": "donut",
              "status": "active",
              "canonId": "019de52d-0006-752c-9528-0fef476b8004",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "donut",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.726+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "bd6ffa84-5aee-425d-b9b8-3a6c67a0a8ab",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.325,
            "w": 0.579,
            "x": 0.068,
            "y": 0.12
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.726+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b1537296-5d94-4ca4-b192-1e1d4a16ce64",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "Expected timeline for talent strategy changes: 72%",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:13+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8544-fac260818c6b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.38,
            "w": 0.579,
            "x": 0.068,
            "y": 0.515
          },
          "kind": "paragraph",
          "text": "Generative AI barriers related to talent and workforce\nGenerative AI has the potential to supplement human workers across a vast array of activities traditionally thought of as uniquely human. As such, its impact on talent and workforce strategies could be immense. How will it affect organizations and their workers in the short and long runs? Which types of skills will be most affected, and when?\n\nThe vast majority of leaders we surveyed (72%) said they expect generative AI to drive changes in their talent strategies sometime within the next two years: now (17%), within 1 year (24%), or in 1-2 years (31%) (figure 9).\n\nHowever, less than half (47%) reported that they are sufficiently educating their employees on the capabilities, benefits and value of generative AI—survey respondents also cited a lack of technical talent and skills as the biggest barriers to adoption.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.726+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "28d6641d-406b-410b-8905-7eab06c850d3",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.12,
            "w": 0.28,
            "x": 0.676,
            "y": 0.8
          },
          "kind": "source-note",
          "text": "Figure 9\nQ: When do you expect to make changes to your talent strategies because of generative AI?\n(Oct./Dec. 2023) N (Total) = 2,835",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.726+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b183de2c-0f5c-4849-abcb-6cc95951408f",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.28,
            "x": 0.676,
            "y": 0.056
          },
          "kind": "title",
          "text": "Generative AI is impacting talent strategies now",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.726+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "210fc33b-afa3-4f05-8915-7d626c3da82b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.025,
            "w": 0.14,
            "x": 0.068,
            "y": 0.462
          },
          "kind": "title",
          "text": "Now: Key findings",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Subtitle",
              "slug": "subtitle",
              "status": "active",
              "canonId": "019de52c-fb09-739d-900c-815b0d9ac526",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "subtitle",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.726+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "413f5408-76e0-49b4-8698-9f9c561a734f",
          "parentComponentId": null
        }
      ],
      "metrics": [
        {
          "metricRaw": "Expected timeline for talent strategy changes",
          "numberRaw": "72%",
          "numberKind": "percent",
          "actionTitle": "Generative AI is impacting talent strategies now",
          "calloutText": "The vast majority of leaders we surveyed (72%) said they expect generative AI to drive changes in their talent strategies sometime within the next two years.",
          "numberScale": null,
          "numberValue": 72,
          "metricFamily": "other",
          "numberCurrency": null
        }
      ],
      "tools": [],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 20,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 13,
          "name": "Evidence & Proof",
          "beatId": "1a670dc9-17c6-4a45-80e7-2c0b658fed5b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Evidence & Proof",
            "slug": "consultants-gambit-evidence-proof",
            "status": "active",
            "canonId": "019dd9b8-07b1-7688-8e1e-7637fec3802a",
            "version": 1,
            "description": null
          },
          "evidence": "Data tables, industry trends, and risk register",
          "position": 2,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Evidence",
            "slug": "evidence",
            "status": "active",
            "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a",
            "version": 1,
            "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [
        {
          "to": 22,
          "from": 11,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "8dd0f86a-2675-4c7a-b842-0728e098e8e2",
          "evidence": "Slides discussing current efforts, societal impacts, and leader concerns",
          "position": 0,
          "objective": "Highlighting the risks of not adopting generative AI",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:04:43.285994+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        },
        {
          "to": 20,
          "from": 14,
          "loop": {
            "name": "28_ladder_abstraction",
            "slug": "28-ladder-abstraction",
            "status": "active",
            "bestFor": "Training, thought leadership, making complex ideas accessible",
            "canonId": "019dd956-7130-74be-a168-9f76c603044d",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Concrete Example -> The Pattern It Represents -> The Universal Principle -> Back to Specific Application",
            "description": "Move between concrete examples and abstract principles to make ideas stick",
            "familyLabel": null
          },
          "matchId": "a8072f27-eff0-49bb-9470-efca58d935fc",
          "evidence": "Slides on off-the-shelf solutions, talent, governance, and risk",
          "position": 1,
          "objective": "Showing the complexity of generative AI adoption",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:04:43.318224+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 20,
      "type": "analysis",
      "title": "Figure 10. Data source: Q: What level of effort is your organization taking regarding the following workforce-related areas? (Oct./Dec. 2023) N (Total) = 2,835",
      "function": "analyze_data",
      "rawType": "kpi_dashboard",
      "block": null,
      "metadata": {
        "slideType": "kpi_dashboard",
        "slideTypeCanon": {
          "name": "KPI dashboard",
          "slug": "kpi_dashboard",
          "status": "active",
          "canonId": "019de52d-0be5-7295-af4d-b850fe7b7e65",
          "version": 1,
          "description": null
        },
        "function": "analyze_data",
        "functionCanon": {
          "name": "Analyze data",
          "slug": "analyze_data",
          "status": "active",
          "canonId": "019de52d-1590-7413-8c82-cc218cff40b4",
          "version": 1,
          "description": null
        },
        "density": "overcrowded",
        "densityScore": 88,
        "componentCount": 9,
        "textChars": 1578,
        "nDataPoints": 15,
        "notes": "Figure 10. Data source: Q: What level of effort is your organization taking regarding the following workforce-related areas? (Oct./Dec. 2023) N (Total) = 2,835",
        "elementsJson": [
          "headline_text",
          "paragraph",
          "bar_chart_grouped",
          "footnote"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:53.847+00",
          "seconds": 3.306,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/20",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-20",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "Deloitte's experience suggests that most organizations have yet to substantially address the talent and workforce challenges likely to arise from large-scale generative AI adoption.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:10+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8543-96efb087c25f",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.28,
            "w": 0.86,
            "x": 0.068,
            "y": 0.53
          },
          "kind": "chart",
          "text": "Grouped bar chart showing effort levels across three categories: Recruiting, Educating, and Reskilling, segmented by expertise level.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Grouped bar chart",
              "slug": "bar-grouped",
              "status": "active",
              "canonId": "019de52c-ff3b-751e-a8ff-f21ff11097b1",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bar-grouped",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.847+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e58a377f-08e2-4f26-9d6a-48d6dd5a9c93",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.19,
            "x": 0.068,
            "y": 0.54
          },
          "kind": "legend",
          "text": "All respondents, Little expertise, Some expertise, High expertise, Very high expertise",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Legend",
              "slug": "legend",
              "status": "active",
              "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c",
              "version": 1,
              "description": "Color/symbol decoder placed adjacent to a chart or diagram."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.847+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "79cf1c8c-f375-4949-bd1e-7941a2b2aba8",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "Effort level: 74%",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:10+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8543-9a06a65a866a",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.12,
            "w": 0.42,
            "x": 0.068,
            "y": 0.168
          },
          "kind": "paragraph",
          "text": "Against this backdrop, some respondents reported making a high or very high effort to: recruit and hire technical talent to drive their generative AI initiatives (42%), educate the workforce about generative AI (40%), and reskill workers impacted by generative AI (36%). Those numbers are much higher for leaders who viewed their organization's generative AI expertise as very high (74%, 74% and 73%, respectively) (figure 10).",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.847+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "155f456e-cfef-41e5-b888-45d0298e6b1c",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.025,
            "w": 0.17,
            "x": 0.068,
            "y": 0.118
          },
          "kind": "paragraph",
          "text": "Now: Key findings",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.847+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b9c7afb1-41d3-4d0c-ac34-a926fcba40bc",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.12,
            "w": 0.42,
            "x": 0.513,
            "y": 0.168
          },
          "kind": "paragraph",
          "text": "It should be noted, however, that these reported workforce-related efforts might be limited in scope. Deloitte's experience suggests that most organizations have yet to substantially address the talent and workforce challenges likely to arise from large-scale generative AI adoption. A likely reason for this is that many leaders don't yet know what generative AI's talent impacts will be, particularly with regard to which skills and roles will be needed most.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.847+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d5d039f1-a3e5-4fab-a529-7570b210ac30",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.45,
            "x": 0.068,
            "y": 0.835
          },
          "kind": "source-note",
          "text": "Figure 10 | Q: What level of effort is your organization taking regarding the following workforce-related areas? (Oct./Dec. 2023) N (Total) = 2,835",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.847+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b93eb494-e58e-4aa8-a600-3290db50352b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.025,
            "w": 0.795,
            "x": 0.068,
            "y": 0.445
          },
          "kind": "title",
          "text": "Preparing workforces for generative AI: Respondents making a high or very high effort in the following areas.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.847+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "a9bbb003-e175-412b-a825-736e49a99d44",
          "parentComponentId": null
        }
      ],
      "metrics": [
        {
          "metricRaw": "Effort level",
          "numberRaw": "74%",
          "numberKind": "percent",
          "actionTitle": null,
          "calloutText": "Deloitte's experience suggests that most organizations have yet to substantially address the talent and workforce challenges likely to arise from large-scale generative AI adoption.",
          "numberScale": null,
          "numberValue": 74,
          "metricFamily": "other",
          "numberCurrency": null
        }
      ],
      "tools": [],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 20,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 13,
          "name": "Evidence & Proof",
          "beatId": "1a670dc9-17c6-4a45-80e7-2c0b658fed5b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Evidence & Proof",
            "slug": "consultants-gambit-evidence-proof",
            "status": "active",
            "canonId": "019dd9b8-07b1-7688-8e1e-7637fec3802a",
            "version": 1,
            "description": null
          },
          "evidence": "Data tables, industry trends, and risk register",
          "position": 2,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Evidence",
            "slug": "evidence",
            "status": "active",
            "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a",
            "version": 1,
            "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [
        {
          "to": 22,
          "from": 11,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "8dd0f86a-2675-4c7a-b842-0728e098e8e2",
          "evidence": "Slides discussing current efforts, societal impacts, and leader concerns",
          "position": 0,
          "objective": "Highlighting the risks of not adopting generative AI",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:04:43.285994+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        },
        {
          "to": 20,
          "from": 14,
          "loop": {
            "name": "28_ladder_abstraction",
            "slug": "28-ladder-abstraction",
            "status": "active",
            "bestFor": "Training, thought leadership, making complex ideas accessible",
            "canonId": "019dd956-7130-74be-a168-9f76c603044d",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Concrete Example -> The Pattern It Represents -> The Universal Principle -> Back to Specific Application",
            "description": "Move between concrete examples and abstract principles to make ideas stick",
            "familyLabel": null
          },
          "matchId": "a8072f27-eff0-49bb-9470-efca58d935fc",
          "evidence": "Slides on off-the-shelf solutions, talent, governance, and risk",
          "position": 1,
          "objective": "Showing the complexity of generative AI adoption",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:04:43.318224+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 21,
      "type": "setup",
      "title": "The slide uses a pull-quote format over a background image of two colleagues collaborating.",
      "function": "summarize",
      "rawType": "quote_slide",
      "block": null,
      "metadata": {
        "slideType": "quote_slide",
        "slideTypeCanon": {
          "name": "Quote slide",
          "slug": "quote_slide",
          "status": "active",
          "canonId": "019de52d-098e-7555-a9fd-4f0af7e80bc2",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 15,
        "componentCount": 3,
        "textChars": 272,
        "nDataPoints": 0,
        "notes": "The slide uses a pull-quote format over a background image of two colleagues collaborating.",
        "elementsJson": [
          "photo",
          "quote_block"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:54.45+00",
          "seconds": 3.884,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/21",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-21",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "Generating confidence in workers’ abilities to collaborate with generative AI, now, could elevate creativity and job satisfaction, next.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:11+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8544-213a8fe37a47",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 1,
            "w": 1,
            "x": 0,
            "y": 0
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.45+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "82eb80f5-7cc1-47cc-8a2a-688280a53bab",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.35,
            "w": 0.45,
            "x": 0.067,
            "y": 0.433
          },
          "kind": "quote",
          "text": "Generating confidence in workers’ abilities to collaborate with generative AI, now, could elevate creativity and job satisfaction, next.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Quote",
              "slug": "quote",
              "status": "active",
              "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a",
              "version": 1,
              "description": "Pull quote or testimonial."
            },
            "tool": null,
            "subkind": {
              "name": "Pull quote",
              "slug": "pull-quote",
              "status": "active",
              "canonId": "019de52c-fbf9-76fe-97e1-a0b7540445c9",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "pull-quote",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.45+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c78377be-5ab6-4b93-8acb-4aac4be3baac",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [
        {
          "to": 22,
          "from": 11,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "8dd0f86a-2675-4c7a-b842-0728e098e8e2",
          "evidence": "Slides discussing current efforts, societal impacts, and leader concerns",
          "position": 0,
          "objective": "Highlighting the risks of not adopting generative AI",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:04:43.285994+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 22,
      "type": "resolution",
      "title": "The slide uses a large callout metric to highlight a key finding regarding economic inequality.",
      "function": "summarize",
      "rawType": "key_takeaways",
      "block": null,
      "metadata": {
        "slideType": "key_takeaways",
        "slideTypeCanon": {
          "name": "Key takeaways",
          "slug": "key_takeaways",
          "status": "active",
          "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "overcrowded",
        "densityScore": 87,
        "componentCount": 9,
        "textChars": 1765,
        "nDataPoints": 4,
        "notes": "The slide uses a large callout metric to highlight a key finding regarding economic inequality.",
        "elementsJson": [
          "headline_text",
          "action_title",
          "paragraph",
          "big_number",
          "photo"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:54.167+00",
          "seconds": 3.341,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/22",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-22",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.06,
            "w": 0.18,
            "x": 0.78,
            "y": 0.145
          },
          "kind": "callout",
          "text": "expect generative AI to increase economic inequality.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": null,
            "subkind": {
              "name": "Primary callout",
              "slug": "primary",
              "status": "active",
              "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.167+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e8247238-e692-46c8-80de-29b15c81b001",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "callout",
          "text": "51% expect generative AI to increase economic inequality.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:10+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8543-d9f9f040a831",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 1,
            "w": 0.38,
            "x": 0.62,
            "y": 0
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.167+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "66180554-f3ce-4892-b19e-741ab5884340",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.12,
            "x": 0.67,
            "y": 0.135
          },
          "kind": "metric",
          "text": "51%",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": null,
            "subkind": {
              "name": "Big number",
              "slug": "big-number",
              "status": "active",
              "canonId": "019de52c-fc70-70c8-b965-0584548a9204",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "big-number",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.167+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "63c1e0d9-c28f-40a8-af0f-b1eb14f7038c",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "economic inequality: 51%",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:10+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8543-df7ffba7472b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.55,
            "x": 0.06,
            "y": 0.5
          },
          "kind": "paragraph",
          "text": "Is this pessimism or realism? Our survey results appear to reflect the broader moral and ethical debates about artificial intelligence that are occurring in every corner of society—even in the boardrooms of the technology companies driving AI development, where AI's commercial value is being weighed against its potential value to serve humanity and AI's potential benefits are being weighed against its potential risks.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.167+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "1f91de62-a9eb-4a88-80a2-d1fbc3eb577f",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.55,
            "x": 0.06,
            "y": 0.23
          },
          "kind": "paragraph",
          "text": "Although the leaders we surveyed were generally excited and enthusiastic about generative AI's potential business benefits, they were less optimistic about its broader societal impacts. Specifically, 52% of respondents said they expected widespread use of generative AI to centralize power in the global economy, while 30% expected it to more evenly distribute global power. Similarly, 51% expected generative AI to increase economic inequality, while 22% expected it to reduce inequality (figure 11). What's more, 49% of respondents believe the rise of generative AI tools / applications will erode the overall level of trust in national and global institutions.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.167+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "6f22be00-8376-492a-8467-195677f76a6a",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.55,
            "x": 0.06,
            "y": 0.66
          },
          "kind": "paragraph",
          "text": "The challenges that generative AI poses in corporate governance and risk parallel those in societal governance and risk. In both domains, the technology's potential benefits and potential harms are high. National and supranational organizations and governments will likely need to walk the tightrope of helping to ensure that generative AI benefits are broadly and fairly distributed, without overly hindering innovation or providing an unfair advantage to countries with different rules.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.167+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "cb1af435-2ab8-4e3c-9fe6-45b510dfcfa0",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.45,
            "x": 0.06,
            "y": 0.15
          },
          "kind": "title",
          "text": "Leaders see significant societal impacts on the horizon.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.167+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "fecc6e5b-a899-4948-81e8-6116d06cfe98",
          "parentComponentId": null
        }
      ],
      "metrics": [
        {
          "metricRaw": "economic inequality",
          "numberRaw": "51%",
          "numberKind": "percent",
          "actionTitle": "Leaders see significant societal impacts on the horizon.",
          "calloutText": "51% expect generative AI to increase economic inequality.",
          "numberScale": null,
          "numberValue": 51,
          "metricFamily": "other",
          "numberCurrency": null
        }
      ],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [
        {
          "to": 22,
          "from": 11,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "8dd0f86a-2675-4c7a-b842-0728e098e8e2",
          "evidence": "Slides discussing current efforts, societal impacts, and leader concerns",
          "position": 0,
          "objective": "Highlighting the risks of not adopting generative AI",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:04:43.285994+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 23,
      "type": "analysis",
      "title": "The slide uses stacked bar charts to visualize survey data regarding economic power and inequality shifts due to GenAI.",
      "function": "analyze_data",
      "rawType": "data_table",
      "block": null,
      "metadata": {
        "slideType": "data_table",
        "slideTypeCanon": {
          "name": "Data table",
          "slug": "data_table",
          "status": "active",
          "canonId": "019de52d-0bbd-71b9-9918-417f904abbf8",
          "version": 1,
          "description": null
        },
        "function": "analyze_data",
        "functionCanon": {
          "name": "Analyze data",
          "slug": "analyze_data",
          "status": "active",
          "canonId": "019de52d-1590-7413-8c82-cc218cff40b4",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 47,
        "componentCount": 6,
        "textChars": 406,
        "nDataPoints": 10,
        "notes": "The slide uses stacked bar charts to visualize survey data regarding economic power and inequality shifts due to GenAI.",
        "elementsJson": [
          "bar_chart_100pct",
          "other"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:54.031+00",
          "seconds": 3.073,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/23",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-23",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.155,
            "w": 0.689,
            "x": 0.068,
            "y": 0.563
          },
          "kind": "chart",
          "text": "Levels of economic inequality",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Stacked bar chart",
              "slug": "bar-stacked",
              "status": "active",
              "canonId": "019de52c-feec-74bf-9028-15b74f84f0a7",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bar-stacked",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.031+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4f69354d-4fe3-4e35-8160-8aef8b3adfd9",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.155,
            "w": 0.689,
            "x": 0.068,
            "y": 0.241
          },
          "kind": "chart",
          "text": "Distribution of economic power",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Stacked bar chart",
              "slug": "bar-stacked",
              "status": "active",
              "canonId": "019de52c-feec-74bf-9028-15b74f84f0a7",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bar-stacked",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.031+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "bd2434d0-2009-4acf-ae91-262d96e6654d",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "Respondent sentiment: 52%",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:11+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8544-a80a7166bebf",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.055,
            "w": 0.435,
            "x": 0.068,
            "y": 0.88
          },
          "kind": "source-note",
          "text": "Figure 11 | Q: How will widespread use of generative AI shift the overall distribution of power in the global economy? Q: How will widespread use of generative AI tools / applications impact global levels of economic inequality? (Oct./Dec. 2023) N (Total) = 2,835",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.031+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "dce78ccb-9a42-4155-8771-db8b8e2a441b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.028,
            "w": 0.352,
            "x": 0.068,
            "y": 0.162
          },
          "kind": "title",
          "text": "Expected societal impacts of generative AI",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.031+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "688015a9-814a-46ea-98a3-e6f63e970597",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.021,
            "w": 0.115,
            "x": 0.068,
            "y": 0.118
          },
          "kind": "title",
          "text": "Now: Key findings",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Subtitle",
              "slug": "subtitle",
              "status": "active",
              "canonId": "019de52c-fb09-739d-900c-815b0d9ac526",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "subtitle",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.031+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4ecfee4f-3104-4d83-b8cf-c6d3bc6ed936",
          "parentComponentId": null
        }
      ],
      "metrics": [
        {
          "metricRaw": "Respondent sentiment",
          "numberRaw": "52%",
          "numberKind": "percent",
          "actionTitle": null,
          "calloutText": null,
          "numberScale": null,
          "numberValue": 52,
          "metricFamily": "survey_sentiment",
          "numberCurrency": null
        }
      ],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 24,
      "type": "resolution",
      "title": "The slide uses a dot-matrix visualization to represent survey percentages.",
      "function": "summarize",
      "rawType": "key_takeaways",
      "block": null,
      "metadata": {
        "slideType": "key_takeaways",
        "slideTypeCanon": {
          "name": "Key takeaways",
          "slug": "key_takeaways",
          "status": "active",
          "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "overcrowded",
        "densityScore": 83,
        "componentCount": 10,
        "textChars": 934,
        "nDataPoints": 2,
        "notes": "The slide uses a dot-matrix visualization to represent survey percentages.",
        "elementsJson": [
          "headline_text",
          "action_title",
          "paragraph",
          "callout_box",
          "icon_grid",
          "footnote"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:54.724+00",
          "seconds": 3.503,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/24",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-24",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.12,
            "w": 0.56,
            "x": 0.068,
            "y": 0.006900000000000001
          },
          "kind": "callout",
          "text": "Could generative AI be too powerful and far-reaching for individual organizations to regulate themselves?",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": null,
            "subkind": {
              "name": "Primary callout",
              "slug": "primary",
              "status": "active",
              "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.724+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ecce6034-3a8f-4fbb-9f3e-360e9f685db7",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.25,
            "x": 0.67,
            "y": 0.002
          },
          "kind": "chart",
          "text": "78% more regulation",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Dot plot",
              "slug": "dot",
              "status": "active",
              "canonId": "019de52d-0235-738b-bd2b-78f8e24d7cb0",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "dot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.724+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4bcca14d-6159-4579-8151-42ff07d219ea",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.25,
            "x": 0.67,
            "y": 0.0054
          },
          "kind": "chart",
          "text": "72% more collaboration",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Dot plot",
              "slug": "dot",
              "status": "active",
              "canonId": "019de52d-0235-738b-bd2b-78f8e24d7cb0",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "dot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.724+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "591e75d0-3f59-43db-8d2f-93ffd2bf758e",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "Survey agreement percentage: 78%",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:11+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8544-5acf792125be",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.12,
            "w": 0.56,
            "x": 0.068,
            "y": 0.0052
          },
          "kind": "paragraph",
          "text": "These results seem to reflect an understanding that generative AI could be too powerful, far-reaching and impactful for individual organizations to regulate themselves.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.724+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "22ee61da-70af-46b3-9c46-247a8962dbe6",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.12,
            "w": 0.56,
            "x": 0.068,
            "y": 0.00405
          },
          "kind": "paragraph",
          "text": "Among the leaders in our survey, 78% said that more governmental regulation of AI is needed, while 72% said there is currently not enough global collaboration to ensure the responsible development of AI-powered systems (figure 12).",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.724+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "667954f5-e289-4355-9887-f42047bd45b5",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.12,
            "w": 0.56,
            "x": 0.068,
            "y": 0.00285
          },
          "kind": "paragraph",
          "text": "In a break from traditional business norms, the unique risks associated with generative AI are prompting many business leaders to call for increased government regulation and increased global collaboration around AI technologies.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.724+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f620c53e-07c1-43c0-8153-be22234d1530",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.2,
            "x": 0.67,
            "y": 0.0087
          },
          "kind": "source-note",
          "text": "Figure 12 (Oct./Dec. 2023) N (Total) = 2,835",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.724+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "bc169610-d8f4-4157-8e8e-da276011fafb",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.45,
            "x": 0.068,
            "y": 0.00163
          },
          "kind": "title",
          "text": "Leaders are looking for more regulation and collaboration globally.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Action title",
              "slug": "action-title",
              "status": "active",
              "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "action-title",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.724+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d8bde819-571d-4795-9159-a5ddc7ea28b1",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.025,
            "w": 0.169,
            "x": 0.068,
            "y": 0.118
          },
          "kind": "title",
          "text": "Now: Key findings",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.724+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "bf384441-8c36-47f1-bdae-71f70db852f3",
          "parentComponentId": null
        }
      ],
      "metrics": [
        {
          "metricRaw": "Survey agreement percentage",
          "numberRaw": "78%",
          "numberKind": "percent",
          "actionTitle": "Leaders are looking for more regulation and collaboration globally.",
          "calloutText": "Could generative AI be too powerful and far-reaching for individual organizations to regulate themselves?",
          "numberScale": null,
          "numberValue": 78,
          "metricFamily": "survey_sentiment",
          "numberCurrency": null
        }
      ],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 25,
      "type": "setup",
      "title": "The slide serves as a transition or conclusion to the current report, setting the stage for future research.",
      "function": "state_next_steps",
      "rawType": "next_steps",
      "block": null,
      "metadata": {
        "slideType": "next_steps",
        "slideTypeCanon": {
          "name": "Next steps",
          "slug": "next_steps",
          "status": "active",
          "canonId": "019de52d-0c5e-717b-b460-a68269e6078e",
          "version": 1,
          "description": null
        },
        "function": "state_next_steps",
        "functionCanon": {
          "name": "State next steps",
          "slug": "state_next_steps",
          "status": "active",
          "canonId": "019de52d-14ca-70ac-b534-971f458cdf29",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 42,
        "componentCount": 4,
        "textChars": 1026,
        "nDataPoints": 0,
        "notes": "The slide serves as a transition or conclusion to the current report, setting the stage for future research.",
        "elementsJson": [
          "headline_text",
          "paragraph",
          "photo"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:53.958+00",
          "seconds": 2.646,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/25",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-25",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "As the first in an ongoing series of quarterly surveys to track the pulse of generative AI, this initial effort was designed to establish a strong baseline to build on.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:10+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8544-095d1d49e5fc",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 1,
            "w": 0.48,
            "x": 0,
            "y": 0
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.958+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "1128e512-2693-40a8-a973-a4478a1db7df",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.455,
            "w": 0.448,
            "x": 0.502,
            "y": 0.418
          },
          "kind": "paragraph",
          "text": "As the first in an ongoing series of quarterly surveys to track the pulse of generative AI, this initial effort was designed to establish a strong baseline to build on. Moving forward, our objective is to understand how generative AI adoption is unfolding—and to anticipate where it’s headed. Throughout this report we posed a number of strategic questions to help organizations think critically about how the actions they take now will best set the stage for what comes next. We don’t have definitive answers to every question yet, nor would we claim to. However, we can offer some questions to spark thinking and some practical guidance based on what we’ve learned so far. We also note that given the pace at which AI and specifically generative AI is moving, definitive answers that make sense today may not be relevant in a few months.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.958+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "a83e030b-f5b1-46b0-aabf-bde574ca4a79",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.065,
            "w": 0.253,
            "x": 0.502,
            "y": 0.318
          },
          "kind": "title",
          "text": "Next: Looking ahead",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:53.958+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "068474cb-b5e2-46db-99e1-b8e446012525",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 34,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 25,
          "name": "Impact & Next Steps",
          "beatId": "b33a4a16-a861-46d5-902e-1a7d1262af8b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Impact & Next Steps",
            "slug": "consultants-gambit-impact-next-steps",
            "status": "active",
            "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655",
            "version": 1,
            "description": null
          },
          "evidence": "Conclusion, appendix, and disclosure slides",
          "position": 4,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Resolution",
            "slug": "resolution",
            "status": "active",
            "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b",
            "version": 1,
            "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 26,
      "type": "setup",
      "title": "The slide uses a 'Next: Looking ahead' header to signal a shift in the deck's narrative flow.",
      "function": "transition",
      "rawType": "transition",
      "block": null,
      "metadata": {
        "slideType": "transition",
        "slideTypeCanon": {
          "name": "Transition",
          "slug": "transition",
          "status": "active",
          "canonId": "019de52d-0693-7766-9f05-887f41f8e41e",
          "version": 1,
          "description": null
        },
        "function": "transition",
        "functionCanon": {
          "name": "Transition",
          "slug": "transition",
          "status": "active",
          "canonId": "019de52d-1365-7149-92aa-66df859e75fd",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 50,
        "componentCount": 5,
        "textChars": 1118,
        "nDataPoints": 0,
        "notes": "The slide uses a 'Next: Looking ahead' header to signal a shift in the deck's narrative flow.",
        "elementsJson": [
          "headline_text",
          "paragraph",
          "photo"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:54.705+00",
          "seconds": 3.207,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/26",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-26",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "The key is to maintain a beginner's mindset—the belief that no matter how expert you think you are, there will always be much more to learn—even as your experience grows.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:10+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8543-f741f3fb3116",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 1,
            "w": 0.34,
            "x": 0.66,
            "y": 0
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.705+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d9248c5a-55d4-4a18-8698-288e5c37092d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.4,
            "w": 0.45,
            "x": 0.068,
            "y": 0.41
          },
          "kind": "paragraph",
          "text": "In the race to deploy generative AI solutions, organizational attributes such as adaptation, experimentation and agility will be critical as new models, capabilities and use cases emerge. The key is to maintain a beginner's mindset—the belief that no matter how expert you think you are, there will always be much more to learn—even as your experience grows. Careful coordination across your organization will be needed to successfully shepherd generative AI transformation in the face of rapid change. Work to improve generative AI literacy throughout your organization, and lead using a cross-disciplinary approach. Actively collaborate with partners and third-party organizations. Also, gain experience with a variety of generative AI technologies—with innovation happening so quickly, it's nearly impossible to pick a clear winner today.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.705+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "1943bba2-f071-4466-b967-f5d66919af36",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.12,
            "w": 0.45,
            "x": 0.068,
            "y": 0.27
          },
          "kind": "title",
          "text": "How can my organization build generative AI expertise when things are moving so quickly?",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.705+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "468b9dce-2981-492a-afa5-9faf4e84fb58",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.18,
            "x": 0.068,
            "y": 0.18
          },
          "kind": "title",
          "text": "Next: Looking ahead",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Subtitle",
              "slug": "subtitle",
              "status": "active",
              "canonId": "019de52c-fb09-739d-900c-815b0d9ac526",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "subtitle",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:54.705+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "8d54e64b-ffc7-47db-8998-3626f3339fc6",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 30,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 26,
          "name": "Solution & Approach",
          "beatId": "347579cd-29db-4f88-ac37-0e7755a1c385",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Solution & Approach",
            "slug": "consultants-gambit-solution-approach",
            "status": "active",
            "canonId": "019dd9b8-071c-7161-9184-580fdac7a4f9",
            "version": 1,
            "description": null
          },
          "evidence": "Thesis headline, next steps, and looking ahead slides",
          "position": 3,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Turn",
            "slug": "turn",
            "status": "active",
            "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54",
            "version": 1,
            "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        },
        {
          "to": 34,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 25,
          "name": "Impact & Next Steps",
          "beatId": "b33a4a16-a861-46d5-902e-1a7d1262af8b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Impact & Next Steps",
            "slug": "consultants-gambit-impact-next-steps",
            "status": "active",
            "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655",
            "version": 1,
            "description": null
          },
          "evidence": "Conclusion, appendix, and disclosure slides",
          "position": 4,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Resolution",
            "slug": "resolution",
            "status": "active",
            "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b",
            "version": 1,
            "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 27,
      "type": "setup",
      "function": "state_next_steps",
      "rawType": "next_steps",
      "block": null,
      "metadata": {
        "slideType": "next_steps",
        "slideTypeCanon": {
          "name": "Next steps",
          "slug": "next_steps",
          "status": "active",
          "canonId": "019de52d-0c5e-717b-b460-a68269e6078e",
          "version": 1,
          "description": null
        },
        "function": "state_next_steps",
        "functionCanon": {
          "name": "State next steps",
          "slug": "state_next_steps",
          "status": "active",
          "canonId": "019de52d-14ca-70ac-b534-971f458cdf29",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 70,
        "componentCount": 7,
        "textChars": 1957,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": [
          "photo",
          "paragraph"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:55.123+00",
          "seconds": 3.595,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/27",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-27",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "A deliberate reinvestment strategy for generative AI dividends will help lay the path for continued success.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:11+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8544-7193afb3ed34",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.35,
            "w": 1,
            "x": 0,
            "y": 0
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:55.123+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ccead574-3958-4be6-85e9-c87ad0f5c4dd",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.3,
            "w": 0.4,
            "x": 0.06,
            "y": 0.58
          },
          "kind": "paragraph",
          "text": "Experimentation is essential when deploying generative AI. But if you can't scale up your efforts, the high expectations for transformation revealed by our survey likely won't be met. It's fine to focus on a few use cases at first. However, the most valuable use cases will likely change over time, so it's important to focus on improving end-to-end processes, not just narrow tasks. Also, follow the example of organizations that report high generative AI expertise and consider deploying AI broadly across your enterprise as part of a holistic strategy, rather than focusing narrowly on point solutions and silos. Strive to build platform capabilities that can enable multiple use cases, accommodate new and improved generative AI models, and provide consistent governance and risk management to ensure models produce safe and trustworthy outputs and content.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:55.123+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "2d8014c3-469d-45af-bf3d-8a152b9f999c",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.4,
            "x": 0.06,
            "y": 0.47
          },
          "kind": "paragraph",
          "text": "How can we best scale up and build a foundation for longer-term value creation?",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:55.123+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "6990bb59-ae4a-4a6e-9074-0c8006d096ad",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.3,
            "w": 0.4,
            "x": 0.54,
            "y": 0.58
          },
          "kind": "paragraph",
          "text": "Generative AI projects can potentially be expensive, so leaders are naturally looking for rapid ways to achieve a compelling return on investment (ROI). Benefits might at first arrive slowly, but then ramp up quickly as your organization reaches a critical mass of experience and proficiency. Most generative AI efforts are currently focused on improving efficiency and productivity, and reducing costs. Once you achieve those goals, what will you do with the time and money saved? Will you strategically reinvest in more generative AI projects? Will you invest in training and reskilling your workforce? Will you improve your technology infrastructure? Or will you simply boost your bottom line? A deliberate reinvestment strategy for generative AI dividends will help lay the path for continued success.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:55.123+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d630fe32-1f89-4d93-b481-bf2fcebc7f65",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.4,
            "x": 0.54,
            "y": 0.47
          },
          "kind": "paragraph",
          "text": "How should we invest the dividends gained from improving efficiency and productivity?",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:55.123+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ef89064d-348e-436f-877e-302b16a73d7f",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.18,
            "x": 0.06,
            "y": 0.42
          },
          "kind": "title",
          "text": "Next: Looking ahead",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:55.123+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "2acdac30-def3-43e6-b8fe-d392e885e8c7",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 30,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 26,
          "name": "Solution & Approach",
          "beatId": "347579cd-29db-4f88-ac37-0e7755a1c385",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Solution & Approach",
            "slug": "consultants-gambit-solution-approach",
            "status": "active",
            "canonId": "019dd9b8-071c-7161-9184-580fdac7a4f9",
            "version": 1,
            "description": null
          },
          "evidence": "Thesis headline, next steps, and looking ahead slides",
          "position": 3,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Turn",
            "slug": "turn",
            "status": "active",
            "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54",
            "version": 1,
            "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        },
        {
          "to": 34,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 25,
          "name": "Impact & Next Steps",
          "beatId": "b33a4a16-a861-46d5-902e-1a7d1262af8b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Impact & Next Steps",
            "slug": "consultants-gambit-impact-next-steps",
            "status": "active",
            "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655",
            "version": 1,
            "description": null
          },
          "evidence": "Conclusion, appendix, and disclosure slides",
          "position": 4,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Resolution",
            "slug": "resolution",
            "status": "active",
            "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b",
            "version": 1,
            "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 28,
      "type": "setup",
      "title": "The slide uses a minimalist design with a strong, thesis-driven headline and abstract graphic elements.",
      "function": "summarize",
      "rawType": "thesis_headline",
      "block": null,
      "metadata": {
        "slideType": "thesis_headline",
        "slideTypeCanon": {
          "name": "Thesis headline",
          "slug": "thesis_headline",
          "status": "active",
          "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 15,
        "componentCount": 3,
        "textChars": 262,
        "nDataPoints": 0,
        "notes": "The slide uses a minimalist design with a strong, thesis-driven headline and abstract graphic elements.",
        "elementsJson": [
          "paragraph"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:57.066+00",
          "seconds": 5.276,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/28",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-28",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "Where companies reinvest the gains they make in efficiency from generative AI, now, may decide their level of transformation, next.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:11+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8544-8ad1d946f667",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.95,
            "w": 0.55,
            "x": 0.45,
            "y": 0.05
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:57.066+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "dd10c5d9-eaa0-42a4-b545-591fddee68b3",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.4,
            "w": 0.38,
            "x": 0.08,
            "y": 0.15
          },
          "kind": "title",
          "text": "Where companies reinvest the gains they make in efficiency from generative AI, now, may decide their level of transformation, next.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:57.066+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "97f5f579-95b6-4f95-ac61-15f576365977",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 30,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 26,
          "name": "Solution & Approach",
          "beatId": "347579cd-29db-4f88-ac37-0e7755a1c385",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Solution & Approach",
            "slug": "consultants-gambit-solution-approach",
            "status": "active",
            "canonId": "019dd9b8-071c-7161-9184-580fdac7a4f9",
            "version": 1,
            "description": null
          },
          "evidence": "Thesis headline, next steps, and looking ahead slides",
          "position": 3,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Turn",
            "slug": "turn",
            "status": "active",
            "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54",
            "version": 1,
            "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        },
        {
          "to": 34,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 25,
          "name": "Impact & Next Steps",
          "beatId": "b33a4a16-a861-46d5-902e-1a7d1262af8b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Impact & Next Steps",
            "slug": "consultants-gambit-impact-next-steps",
            "status": "active",
            "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655",
            "version": 1,
            "description": null
          },
          "evidence": "Conclusion, appendix, and disclosure slides",
          "position": 4,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Resolution",
            "slug": "resolution",
            "status": "active",
            "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b",
            "version": 1,
            "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 29,
      "type": "setup",
      "title": "The slide uses a split-column layout to pose two distinct strategic inquiries.",
      "function": "state_next_steps",
      "rawType": "next_steps",
      "block": null,
      "metadata": {
        "slideType": "next_steps",
        "slideTypeCanon": {
          "name": "Next steps",
          "slug": "next_steps",
          "status": "active",
          "canonId": "019de52d-0c5e-717b-b460-a68269e6078e",
          "version": 1,
          "description": null
        },
        "function": "state_next_steps",
        "functionCanon": {
          "name": "State next steps",
          "slug": "state_next_steps",
          "status": "active",
          "canonId": "019de52d-14ca-70ac-b534-971f458cdf29",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 53,
        "componentCount": 5,
        "textChars": 1751,
        "nDataPoints": 0,
        "notes": "The slide uses a split-column layout to pose two distinct strategic inquiries.",
        "elementsJson": [
          "paragraph",
          "other"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:55.246+00",
          "seconds": 3.415,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/29",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-29",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.1,
            "w": 0.415,
            "x": 0.068,
            "y": 0.475
          },
          "kind": "paragraph",
          "text": "How can our organization use generative AI to create strategic differentiation and a competitive edge?",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:55.246+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "15c6cbf6-9546-42c7-be39-2c08d918675a",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.3,
            "w": 0.415,
            "x": 0.068,
            "y": 0.645
          },
          "kind": "paragraph",
          "text": "As generative AI adoption rises and the technology becomes a standard commodity—with increased integration into common enterprise software, broader availability of specialized tools and models, and standardized data requirements—will first movers lose their advantage? To maximize the value of the technology, organizations should consciously focus on innovation and differentiation—customizing their generative AI solutions to fit their unique needs and data assets, with the goal of building capabilities that create sustainable competitive advantage. Pursuing easy opportunities and quick wins is smart, but not to the exclusion of more strategic opportunities (even though the latter will require more time and money to achieve and may take longer to achieve ROI).",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:55.246+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "a66a4898-b060-4af0-8cc6-7b20ea23d6cb",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.3,
            "w": 0.39,
            "x": 0.542,
            "y": 0.545
          },
          "kind": "paragraph",
          "text": "When developing and deploying generative AI solutions, should you buy or build? The answer depends on many factors, including your overall goals and the scale, complexity and uniqueness of your solution and use case. Are you looking to monetize your model? What is your approach to open source? How much control over training datasets do you want? Questions like these will help you choose from the broad spectrum of approaches, which include: building large language models or LLMs from scratch, fine-tuning vendor-provided models with your own data, or using enterprise software with generative AI built in. Each approach has its benefits and drawbacks, and you might end up choosing more than one. When deciding, be sure to consider your business strategy, desired investment level, risk tolerance and data readiness.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:55.246+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d234f6d4-7650-412b-8d9c-5f1788ac6508",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.39,
            "x": 0.542,
            "y": 0.475
          },
          "kind": "paragraph",
          "text": "How should we balance buying vs. building?",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:55.246+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ee25a24a-2e9a-445e-b89b-e1298535fa0e",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.024,
            "w": 0.188,
            "x": 0.068,
            "y": 0.425
          },
          "kind": "title",
          "text": "Next: Looking ahead",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:55.246+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "3811d8cc-bfcb-45a4-aa7a-06317139dcf5",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 30,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 26,
          "name": "Solution & Approach",
          "beatId": "347579cd-29db-4f88-ac37-0e7755a1c385",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Solution & Approach",
            "slug": "consultants-gambit-solution-approach",
            "status": "active",
            "canonId": "019dd9b8-071c-7161-9184-580fdac7a4f9",
            "version": 1,
            "description": null
          },
          "evidence": "Thesis headline, next steps, and looking ahead slides",
          "position": 3,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Turn",
            "slug": "turn",
            "status": "active",
            "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54",
            "version": 1,
            "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        },
        {
          "to": 34,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 25,
          "name": "Impact & Next Steps",
          "beatId": "b33a4a16-a861-46d5-902e-1a7d1262af8b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Impact & Next Steps",
            "slug": "consultants-gambit-impact-next-steps",
            "status": "active",
            "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655",
            "version": 1,
            "description": null
          },
          "evidence": "Conclusion, appendix, and disclosure slides",
          "position": 4,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Resolution",
            "slug": "resolution",
            "status": "active",
            "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b",
            "version": 1,
            "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 30,
      "type": "setup",
      "function": "state_next_steps",
      "rawType": "next_steps",
      "block": null,
      "metadata": {
        "slideType": "next_steps",
        "slideTypeCanon": {
          "name": "Next steps",
          "slug": "next_steps",
          "status": "active",
          "canonId": "019de52d-0c5e-717b-b460-a68269e6078e",
          "version": 1,
          "description": null
        },
        "function": "state_next_steps",
        "functionCanon": {
          "name": "State next steps",
          "slug": "state_next_steps",
          "status": "active",
          "canonId": "019de52d-14ca-70ac-b534-971f458cdf29",
          "version": 1,
          "description": null
        },
        "density": "overcrowded",
        "densityScore": 75,
        "componentCount": 8,
        "textChars": 953,
        "nDataPoints": 1,
        "notes": null,
        "elementsJson": [
          "headline_text",
          "paragraph",
          "photo"
        ],
        "confidence": 0.9,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:59.021+00",
          "seconds": 6.715,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/30",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-30",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "A large percentage of organizations (47%) reported they were monitoring regulatory requirements as part of their risk management efforts.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:10+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8543-c055573f9d7f",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.285,
            "w": 0.415,
            "x": 0.068,
            "y": 0.573
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:59.021+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "a9575e17-f7e5-4e73-98de-fbf7000d81dd",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.415,
            "x": 0.565,
            "y": 0.388
          },
          "kind": "paragraph",
          "text": "Respondents expressed a variety of concerns about generative AI risks, including the need to manage hallucinations and model bias, assess potential intellectual property issues, and ensure transparency and explainability.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:59.021+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "36772a58-d370-4136-ac85-479a47b48f98",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.415,
            "x": 0.565,
            "y": 0.565
          },
          "kind": "paragraph",
          "text": "A large percentage of organizations (47%) reported they were monitoring regulatory requirements as part of their risk management efforts.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:59.021+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b6ddff6f-2538-4e16-8b5b-98b528705b91",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.415,
            "x": 0.068,
            "y": 0.288
          },
          "kind": "paragraph",
          "text": "Survey respondents cited talent as their biggest barrier to generative AI adoption. To surmount it, you will likely need to recruit new talent, empower your existing workforce, and build organizational trust.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:59.021+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "dc479fe4-b24b-4c20-ba47-feac9f39cfaf",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.085,
            "w": 0.415,
            "x": 0.068,
            "y": 0.168
          },
          "kind": "title",
          "text": "How can we best invest in our people and reinvent how they work with generative AI?",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:59.021+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "6615481b-f834-4753-b3a2-b7c4fdbbbb1a",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.135,
            "w": 0.415,
            "x": 0.565,
            "y": 0.168
          },
          "kind": "title",
          "text": "What guardrails does our organization need to ensure responsible use of generative AI, and how do we stay aligned with shifting societal guardrails?",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:59.021+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "dfc4bb6c-a986-418a-bf46-be7c6cdf523f",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.035,
            "w": 0.188,
            "x": 0.068,
            "y": 0.115
          },
          "kind": "title",
          "text": "Next: Looking ahead",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:59.021+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e182dac6-8df5-4a7e-b2f1-a28d012abd30",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Audience Definition",
            "slug": "audience-definition",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756",
            "version": 1,
            "bodyDocId": null,
            "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "6af75f27-13ea-49e7-92a8-9163e9245a3a",
          "evidence": "Respondents expressed a variety of concerns about generative AI risks, including the need to manage hallucinations and model bias, assess potential intellectual property issues, and ensure transparen",
          "pageRefs": null,
          "priority": "Core",
          "whenToUse": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 21:10:14.498147+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 30,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        },
        {
          "tool": {
            "name": "Call to action",
            "slug": "call-to-action",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd9e1-4bbb-702a-9ead-82daf188bb7c",
            "version": 1,
            "bodyDocId": null,
            "description": "Explicit prescription of what the audience should do next.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "a540f9c8-e9d3-4ff4-a4c2-77a0e890e643",
          "evidence": "What guardrails does our organization need to ensure responsible use of generative AI, and how do we stay aligned with shifting societal guardrails?",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.5,
          "extraction": {
            "at": "2026-07-16 21:10:14.5386+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 30,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": "common",
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 30,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 26,
          "name": "Solution & Approach",
          "beatId": "347579cd-29db-4f88-ac37-0e7755a1c385",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Solution & Approach",
            "slug": "consultants-gambit-solution-approach",
            "status": "active",
            "canonId": "019dd9b8-071c-7161-9184-580fdac7a4f9",
            "version": 1,
            "description": null
          },
          "evidence": "Thesis headline, next steps, and looking ahead slides",
          "position": 3,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Turn",
            "slug": "turn",
            "status": "active",
            "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54",
            "version": 1,
            "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        },
        {
          "to": 34,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 25,
          "name": "Impact & Next Steps",
          "beatId": "b33a4a16-a861-46d5-902e-1a7d1262af8b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Impact & Next Steps",
            "slug": "consultants-gambit-impact-next-steps",
            "status": "active",
            "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655",
            "version": 1,
            "description": null
          },
          "evidence": "Conclusion, appendix, and disclosure slides",
          "position": 4,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Resolution",
            "slug": "resolution",
            "status": "active",
            "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b",
            "version": 1,
            "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 31,
      "type": "appendix",
      "function": "other",
      "rawType": "appendix",
      "block": null,
      "metadata": {
        "slideType": "appendix",
        "slideTypeCanon": {
          "name": "Appendix",
          "slug": "appendix",
          "status": "active",
          "canonId": "019de52d-0762-71f8-b564-89ab863301cc",
          "version": 1,
          "description": null
        },
        "function": "other",
        "functionCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce",
          "version": 1,
          "description": null
        },
        "density": "overcrowded",
        "densityScore": 86,
        "componentCount": 11,
        "textChars": 1668,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": [
          "headshot",
          "paragraph"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:57.502+00",
          "seconds": 4.768,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/31",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-31",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.185,
            "w": 0.146,
            "x": 0.067,
            "y": 0.554
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Headshot",
              "slug": "headshot",
              "status": "active",
              "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:57.502+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0b6316f6-f0c9-40a0-a5cc-85f847f3ef4d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.185,
            "w": 0.146,
            "x": 0.294,
            "y": 0.208
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Headshot",
              "slug": "headshot",
              "status": "active",
              "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:57.502+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "510ab243-71ff-413f-a264-7d5bd4c3690c",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.185,
            "w": 0.146,
            "x": 0.067,
            "y": 0.208
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Headshot",
              "slug": "headshot",
              "status": "active",
              "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:57.502+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7642aff9-1c53-4559-afb3-4774dee90208",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.185,
            "w": 0.146,
            "x": 0.294,
            "y": 0.554
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Headshot",
              "slug": "headshot",
              "status": "active",
              "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:57.502+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "9f92ee1a-0b2f-4047-b489-e03e871749f7",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.085,
            "w": 0.215,
            "x": 0.067,
            "y": 0.74
          },
          "kind": "paragraph",
          "text": "Costi Perricos\nGlobal Office of Generative AI Leader\nDeloitte UK\ncperricos@deloitte.co.uk",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:57.502+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "5d4d7ff0-3745-430a-ae81-976f51701fad",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.55,
            "w": 0.33,
            "x": 0.597,
            "y": 0.26
          },
          "kind": "paragraph",
          "text": "The authors would like to thank the many talented professionals who brought this research to life: Joe Ucuzoglu, Nitin Mittal, Kevin Westcott, Lynne Sterrett, Rod Sides, Dina Tallarico, David Jarvis, Jeff Loucks, Ahmed Alibage, Natasha Buckley, Jonathan Holdowsky, Siri Anderson, David Levin, Joe Mariani, Sandeep Vellanki, Rajesh Medisetti, Shubham Oza, Gerson Lehrman Group (GLG), Lena La, Kate Schmidt, Ivana Vucenovic, Sharonjeet Meht, Bryan Furman, Lesley Stephen, Stephanie Anderson, Steve Dutton, Justin Joyner, Jordan Garrick, Karen Hogger, Matt Lennert, Maria Fernanda Castro, Tracy Fulham, Jose Porras, Jonathan Pryce, Sourabh Yaduvanshi, Jessi Hendon, Jamie Palmeroni-Lavis, Melissa Neumann, Tatum Hoehn, Sean Benton, Eric Alons-Cruz, Lancy Jiang, Amber Bushnell, Brandon Gomez, Judy Mills, Marianne Wilkinson, Lou Ghaddar, Lisa Iliff and Michael Lim.\n\nWe would also like to thank additional Deloitte subject matter specialists who contributed to the development of the survey and report: Rohit Tandon, Mike Segala, Bjoern Bringmann, Kellie Nuttal, Ed Bowen, Oz Karan, Lou DiLorenzo, Ed Van Buren, Amelia Dunlop, Ashley Reichheld, Maggie Fletcher, Elizabeth Powers, Baris Sarer, Dany Rifkin and Laura Shact.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:57.502+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "8185746f-5b6d-4e8a-bd5c-023c0cada1ca",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.115,
            "w": 0.265,
            "x": 0.294,
            "y": 0.74
          },
          "kind": "paragraph",
          "text": "Brenna Sniderman\nDeloitte Center for Integrated Research\nExecutive Director\nDeloitte Services LLP\nbsniderman@deloitte.com",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:57.502+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "9e3e09ae-4760-47b6-9c3c-98f64b62a522",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.085,
            "w": 0.265,
            "x": 0.294,
            "y": 0.393
          },
          "kind": "paragraph",
          "text": "Beena Ammanath\nGlobal Deloitte AI Institute Executive Director\nDeloitte LLP\nbammanath@deloitte.com",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:57.502+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "dd0aec8e-b333-43f6-8402-26f3e62601d2",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.085,
            "w": 0.215,
            "x": 0.067,
            "y": 0.393
          },
          "kind": "paragraph",
          "text": "Deborshi Dutt\nUS AI Strategic Growth Offering Leader\nDeloitte Consulting LLP\ndebdutt@deloitte.com",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:57.502+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "de238605-ca82-4632-936f-2217ee7fedbd",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.035,
            "w": 0.346,
            "x": 0.067,
            "y": 0.118
          },
          "kind": "title",
          "text": "Authorship and Acknowledgments",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:57.502+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "30523100-43e0-4e26-a04f-274cfbb5941a",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.15,
            "x": 0.597,
            "y": 0.208
          },
          "kind": "title",
          "text": "Acknowledgments",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Subtitle",
              "slug": "subtitle",
              "status": "active",
              "canonId": "019de52c-fb09-739d-900c-815b0d9ac526",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "subtitle",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:57.502+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "db9dc0c6-0ee3-485f-be20-f4ea23a70a64",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 34,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 25,
          "name": "Impact & Next Steps",
          "beatId": "b33a4a16-a861-46d5-902e-1a7d1262af8b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Impact & Next Steps",
            "slug": "consultants-gambit-impact-next-steps",
            "status": "active",
            "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655",
            "version": 1,
            "description": null
          },
          "evidence": "Conclusion, appendix, and disclosure slides",
          "position": 4,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Resolution",
            "slug": "resolution",
            "status": "active",
            "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b",
            "version": 1,
            "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 32,
      "type": "appendix",
      "function": "summarize",
      "rawType": "appendix",
      "block": null,
      "metadata": {
        "slideType": "appendix",
        "slideTypeCanon": {
          "name": "Appendix",
          "slug": "appendix",
          "status": "active",
          "canonId": "019de52d-0762-71f8-b564-89ab863301cc",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 70,
        "componentCount": 7,
        "textChars": 2028,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": [
          "paragraph"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:33:02.771+00",
          "seconds": 10.015,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/32",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-32",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.056,
            "w": 0.708,
            "x": 0.068,
            "y": 0.18
          },
          "kind": "paragraph",
          "text": "The Deloitte AI Institute™ helps organizations connect all the different dimensions of the robust, highly dynamic and rapidly evolving AI ecosystem. The AI Institute leads conversations on applied AI innovation across industries, using cutting-edge insights to promote human-machine collaboration in the Age of With™.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:33:02.771+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "33b4ec67-1974-48a2-af68-25e26f225e2a",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.056,
            "w": 0.708,
            "x": 0.068,
            "y": 0.806
          },
          "kind": "paragraph",
          "text": "The Deloitte Center for Technology, Media & Telecommunications (TMT Center) is a world-class research organization that serves Deloitte's TMT practice and our clients. Our team of professional researchers produce practical foresight, fresh insights, and trustworthy data to help clients see clearly, act decisively, and compete with confidence. We create original research using a combination of rigorous methodologies and deep TMT industry knowledge.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:33:02.771+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "44298dc8-5517-4944-9164-8553db2c9bcb",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.042,
            "w": 0.708,
            "x": 0.068,
            "y": 0.566
          },
          "kind": "paragraph",
          "text": "The Deloitte Center for Integrated Research (CIR) offers rigorously researched and data-driven perspectives on critical issues affecting businesses today. We sit at the center of Deloitte's industry and functional expertise, combining the leading insights from across our firm to help leaders confidently compete in today's ever-changing marketplace.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:33:02.771+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "475ffab6-3b92-4531-b63d-702dcc7f9818",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.112,
            "w": 0.708,
            "x": 0.068,
            "y": 0.288
          },
          "kind": "paragraph",
          "text": "The Deloitte AI Institute aims to promote dialogue about and development of artificial intelligence, stimulate innovation, and examine challenges to AI implementation and ways to address them. The AI Institute collaborates with an ecosystem composed of academic research groups, startups, entrepreneurs, innovators, mature AI product leaders and AI visionaries to explore key areas of artificial intelligence including risks, policies, ethics, future of work and talent, and applied AI use cases. Combined with Deloitte's deep knowledge and experience in artificial intelligence applications, the institute helps make sense of this complex ecosystem and, as a result, delivers impactful perspectives to help organizations succeed by making informed AI decisions.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:33:02.771+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e7403db7-f6c2-497d-9c8f-943362cb945a",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.028,
            "w": 0.642,
            "x": 0.045,
            "y": 0.744
          },
          "kind": "title",
          "text": "About the Deloitte Center for Technology, Media & Telecommunications",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:33:02.771+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "5f35f512-fc91-475b-8978-c4e800560fea",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.028,
            "w": 0.469,
            "x": 0.045,
            "y": 0.504
          },
          "kind": "title",
          "text": "About the Deloitte Center for Integrated Research",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:33:02.771+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "895ebef2-4b4c-49b9-8ad9-6e6e39670d08",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.028,
            "w": 0.308,
            "x": 0.045,
            "y": 0.118
          },
          "kind": "title",
          "text": "About the Deloitte AI Institute",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:33:02.771+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "9b493706-e0c1-4774-9066-665ee5a8a296",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 34,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 25,
          "name": "Impact & Next Steps",
          "beatId": "b33a4a16-a861-46d5-902e-1a7d1262af8b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Impact & Next Steps",
            "slug": "consultants-gambit-impact-next-steps",
            "status": "active",
            "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655",
            "version": 1,
            "description": null
          },
          "evidence": "Conclusion, appendix, and disclosure slides",
          "position": 4,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Resolution",
            "slug": "resolution",
            "status": "active",
            "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b",
            "version": 1,
            "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 33,
      "type": "setup",
      "title": "The slide provides transparency on the survey methodology, including the total N=2,835 and the breakdown of respondents by country.",
      "function": "summarize",
      "rawType": "appendix_methodology",
      "block": null,
      "metadata": {
        "slideType": "appendix_methodology",
        "slideTypeCanon": {
          "name": "Appendix methodology",
          "slug": "appendix_methodology",
          "status": "active",
          "canonId": "019de52d-07d9-726c-8599-167f2d2ffaa7",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 61,
        "componentCount": 5,
        "textChars": 1772,
        "nDataPoints": 17,
        "notes": "The slide provides transparency on the survey methodology, including the total N=2,835 and the breakdown of respondents by country.",
        "elementsJson": [
          "paragraph"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:56.295+00",
          "seconds": 3.381,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/33",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-33",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "metric",
          "text": "survey respondents: 2,835",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-24 13:02:12+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd951-ba8c-7422-8544-d2907ab768ce",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.06,
            "w": 0.864,
            "x": 0.068,
            "y": 0.825
          },
          "kind": "paragraph",
          "text": "All statistics noted in this report and its graphics are derived from Deloitte's first quarterly survey, conducted October – December 2023; The State of Generative AI in the Enterprise: Now decides next, a report series. N (Total leader survey responses) = 2,835",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:56.295+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "2b98f7b0-1dfa-4dce-83fc-643118083a7e",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.864,
            "x": 0.068,
            "y": 0.64
          },
          "kind": "paragraph",
          "text": "All participating organizations have one or more working implementations of AI being used daily. Plus, they have pilots in place to explore generative AI or have one or more working implementations of generative AI being used daily. Respondents were required to meet one of the following criteria with respect to their organization's AI and data science strategy, investments, implementation approach, and value measurement. They: influence decision-making, are part of a team that makes decisions, are the final decision-maker, or manage or oversee AI technology implementations.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:56.295+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "3d9fdd42-2167-40f1-9f19-03a30d3dc825",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.864,
            "x": 0.068,
            "y": 0.385
          },
          "kind": "paragraph",
          "text": "To obtain a global view of how generative AI is being adopted by organizations on the leading edge of AI, Deloitte surveyed 2,835 leaders between October and December 2023. Respondents were senior leaders in their organization and included board and C-suite members, and those at the president, vice president and director level. The survey sample was split equally between IT and line of business leaders. Sixteen countries were represented: Australia (100 respondents), Brazil (115 respondents), Canada (175 respondents), France (130 respondents), Germany (150 respondents), India (200 respondents), Italy (50 respondents), Japan (100 respondents), Korea (11 respondents), Mexico (101 respondents), Netherlands (75 respondents), Singapore (76 respondents), Spain (101 respondents), Switzerland (50 respondents), the United Kingdom (200 respondents), and the United States (1,201 respondents).",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:56.295+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ccaafc19-9695-4d94-9b93-9505c004e52e",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.045,
            "w": 0.175,
            "x": 0.068,
            "y": 0.315
          },
          "kind": "title",
          "text": "Methodology",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:56.295+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e35dd58f-1141-4563-b695-55aea3197e98",
          "parentComponentId": null
        }
      ],
      "metrics": [
        {
          "metricRaw": "survey respondents",
          "numberRaw": "2,835",
          "numberKind": "plain",
          "actionTitle": null,
          "calloutText": null,
          "numberScale": null,
          "numberValue": 2.835,
          "metricFamily": "survey_sentiment",
          "numberCurrency": null
        }
      ],
      "tools": [
        {
          "tool": {
            "name": "Audience Definition",
            "slug": "audience-definition",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756",
            "version": 1,
            "bodyDocId": null,
            "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "6b349058-92cb-4f4a-9439-8d9764a1cbb0",
          "evidence": "To obtain a global view of how generative AI is being adopted by organizations on the leading edge of AI, Deloitte surveyed 2,835 leaders between October and December 2023.",
          "pageRefs": null,
          "priority": "Core",
          "whenToUse": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 21:10:14.698819+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 33,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 34,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 25,
          "name": "Impact & Next Steps",
          "beatId": "b33a4a16-a861-46d5-902e-1a7d1262af8b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Impact & Next Steps",
            "slug": "consultants-gambit-impact-next-steps",
            "status": "active",
            "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655",
            "version": 1,
            "description": null
          },
          "evidence": "Conclusion, appendix, and disclosure slides",
          "position": 4,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Resolution",
            "slug": "resolution",
            "status": "active",
            "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b",
            "version": 1,
            "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 34,
      "type": "setup",
      "function": "other",
      "rawType": "appendix_disclosure",
      "block": null,
      "metadata": {
        "slideType": "appendix_disclosure",
        "slideTypeCanon": {
          "name": "Appendix disclosure",
          "slug": "appendix_disclosure",
          "status": "active",
          "canonId": "019de52d-07b2-7549-8e8b-932a19f6e616",
          "version": 1,
          "description": null
        },
        "function": "other",
        "functionCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 14,
        "componentCount": 3,
        "textChars": 250,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": [
          "numbered_list",
          "paragraph",
          "logo_grid"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 19:32:55.391+00",
          "seconds": 2.043,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/34",
        "deck": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
        "deckAnchor": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-34",
        "deckJson": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.3,
            "w": 0.6,
            "x": 0.066,
            "y": 0.54
          },
          "kind": "disclaimer",
          "text": "About Deloitte: Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited... This publication contains general information only...",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Disclaimer",
              "slug": "disclaimer",
              "status": "active",
              "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc",
              "version": 1,
              "description": "Legal/cautionary text that occupies most of the body of its slide."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:55.391+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "11b63e7c-e6f5-4463-8428-feac7a354d8b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.075,
            "w": 0.225,
            "x": 0.066,
            "y": 0.118
          },
          "kind": "image",
          "text": "Deloitte",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Logo",
              "slug": "logo",
              "status": "active",
              "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "logo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:55.391+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "edaeda02-37d8-4012-abb5-6b736ca5bbef",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.6,
            "x": 0.066,
            "y": 0.35
          },
          "kind": "list",
          "text": "Endnotes: 1. Krystal Hu, 'ChatGPT sets record...' 2. Will Douglas Heaven, 'Geoffrey Hinton tells us...'",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Numbered list",
              "slug": "numbered",
              "status": "active",
              "canonId": "019de52c-fcc0-7718-a284-a4250c805df2",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "numbered",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 19:32:55.391+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4f4460bd-cbf1-4296-a1d5-69f3b50dbe2f",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [
        {
          "to": 34,
          "arc": {
            "name": "The Consultant's Gambit",
            "slug": "consultants-gambit",
            "status": "active",
            "bestFor": "Business cases, project proposals, strategic recommendations",
            "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps",
            "description": null,
            "familyLabel": null
          },
          "from": 25,
          "name": "Impact & Next Steps",
          "beatId": "b33a4a16-a861-46d5-902e-1a7d1262af8b",
          "matchId": "1def72d0-1923-4815-bb67-bd8d5f91129b",
          "beatType": {
            "name": "Impact & Next Steps",
            "slug": "consultants-gambit-impact-next-steps",
            "status": "active",
            "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655",
            "version": 1,
            "description": null
          },
          "evidence": "Conclusion, appendix, and disclosure slides",
          "position": 4,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Resolution",
            "slug": "resolution",
            "status": "active",
            "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b",
            "version": 1,
            "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    }
  ],
  "arcBeats": [
    {
      "from": 1,
      "to": 4,
      "label": "Situation & Context",
      "description": "Cover, table of contents, executive summary, and transition slides"
    },
    {
      "from": 7,
      "to": 12,
      "label": "Problem & Complication",
      "description": "Key takeaways on generative AI expertise, emotions, and pressures"
    },
    {
      "from": 13,
      "to": 20,
      "label": "Evidence & Proof",
      "description": "Data tables, industry trends, and risk register"
    },
    {
      "from": 26,
      "to": 30,
      "label": "Solution & Approach",
      "description": "Thesis headline, next steps, and looking ahead slides"
    },
    {
      "from": 25,
      "to": 34,
      "label": "Impact & Next Steps",
      "description": "Conclusion, appendix, and disclosure slides"
    }
  ],
  "loops": [
    {
      "from": 11,
      "to": 22,
      "label": "Cost Of Inaction",
      "description": "Highlighting the risks of not adopting generative AI"
    },
    {
      "from": 14,
      "to": 20,
      "label": "Ladder Abstraction",
      "description": "Showing the complexity of generative AI adoption"
    }
  ]
}