{
  "kind": "all",
  "value": "all",
  "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations",
  "filters": {
    "documentKinds": [],
    "sourceTypes": [],
    "orientations": []
  },
  "total": 319975,
  "page": 1116,
  "pageSize": 30,
  "pageCount": 10666,
  "rows": [
    {
      "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "docSlug": "196a657db0bc864a",
      "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 1,
      "slideType": "cover",
      "function": "front_matter",
      "notes": null,
      "imagePath": "https://imgproxy.kitesheet.com/jkgkK-dFST4u_imhmKU3y50j9WByse-g9vVGbneJ0Oc/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8xOTZhNjU3ZGIwYmM4NjRhL3AwMDEuanBn",
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/1",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-1",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 7,
          "from": 1,
          "beatId": "019dd95a-0702-74a3-87e1-14a1451bd461",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Situation & Context",
          "beatSlug": "consultants-gambit-situation-context",
          "evidence": "Cover, exec summary preview, AI definition + 28% CAGR + four investment areas",
          "position": 1,
          "confidence": 88,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": "https://imgproxy.kitesheet.com/2ToaJ-SV1HORSvMg2emdH1KTXiy17t7mA3UDlC9BxUw/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8xOTZhNjU3ZGIwYmM4NjRhL3AwMDEucG5n",
      "thumbSrc": "https://imgproxy.kitesheet.com/ShulQfI02CaDz4DMqZdwMfc_s86Uqy7BQbk-CCWgw0s/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8xOTZhNjU3ZGIwYmM4NjRhL3AwMDEuanBn",
      "thumbSrcAlt": "https://imgproxy.kitesheet.com/6nk9hrQsyWhGN6ZWJftSskfosoJvr3y6fnsPW1CSkW4/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8xOTZhNjU3ZGIwYmM4NjRhL3AwMDEucG5n"
    },
    {
      "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "docSlug": "196a657db0bc864a",
      "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 2,
      "slideType": "executive_summary",
      "function": "summarize",
      "notes": "The slide uses a circular diagram to represent the holistic approach to AI implementation.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/2",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-2",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 7,
          "from": 1,
          "beatId": "019dd95a-0702-74a3-87e1-14a1451bd461",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Situation & Context",
          "beatSlug": "consultants-gambit-situation-context",
          "evidence": "Cover, exec summary preview, AI definition + 28% CAGR + four investment areas",
          "position": 1,
          "confidence": 88,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "docSlug": "196a657db0bc864a",
      "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 3,
      "slideType": "kpi_dashboard",
      "function": "summarize",
      "notes": "The slide uses a series of five metrics to provide a balanced view of the current state of AI.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/3",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-3",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 7,
          "from": 1,
          "beatId": "019dd95a-0702-74a3-87e1-14a1451bd461",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Situation & Context",
          "beatSlug": "consultants-gambit-situation-context",
          "evidence": "Cover, exec summary preview, AI definition + 28% CAGR + four investment areas",
          "position": 1,
          "confidence": 88,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "docSlug": "196a657db0bc864a",
      "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 4,
      "slideType": "executive_summary",
      "function": "summarize",
      "notes": "The slide uses a numbered list format to synthesize key insights about AI adoption.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/4",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-4",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 7,
          "from": 1,
          "beatId": "019dd95a-0702-74a3-87e1-14a1451bd461",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Situation & Context",
          "beatSlug": "consultants-gambit-situation-context",
          "evidence": "Cover, exec summary preview, AI definition + 28% CAGR + four investment areas",
          "position": 1,
          "confidence": 88,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "docSlug": "196a657db0bc864a",
      "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 5,
      "slideType": "executive_summary",
      "function": "summarize",
      "notes": "The slide uses a two-part categorization (Embed AI / Prepare Operating Model) to structure six numbered recommendations.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/5",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-5",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 7,
          "from": 1,
          "beatId": "019dd95a-0702-74a3-87e1-14a1451bd461",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Situation & Context",
          "beatSlug": "consultants-gambit-situation-context",
          "evidence": "Cover, exec summary preview, AI definition + 28% CAGR + four investment areas",
          "position": 1,
          "confidence": 88,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "docSlug": "196a657db0bc864a",
      "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 6,
      "slideType": "situation_overview",
      "function": "establish_context",
      "notes": "The slide uses a clear structure: a definition, a framework of AI building blocks, a list of benefits, and a bottom-line growth metric.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/6",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-6",
      "loopMatches": [
        {
          "to": 7,
          "from": 6,
          "name": "Why Now",
          "slug": "15-why-now",
          "bestFor": "Sales pitches, fundraising, requesting immediate budget approval",
          "matchId": "019dd95a-088c-724c-b30d-a834d5fe74d4",
          "evidence": "Page 6 sets context with 28% CAGR; page 7 cements 84% see competitive advantage = window of opportunity",
          "position": 1,
          "objective": "Establish AI urgency through trends and competitive trigger",
          "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity",
          "confidence": 75,
          "description": "Create temporal urgency by proving that the window of opportunity is opening or closing"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 7,
          "from": 1,
          "beatId": "019dd95a-0702-74a3-87e1-14a1451bd461",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Situation & Context",
          "beatSlug": "consultants-gambit-situation-context",
          "evidence": "Cover, exec summary preview, AI definition + 28% CAGR + four investment areas",
          "position": 1,
          "confidence": 88,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 10,
          "from": 6,
          "beatId": "019dd95a-0702-74a3-87e1-2642c7df220f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "AI definition, growth, value steps, team impact",
          "position": 1,
          "confidence": 60,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "docSlug": "196a657db0bc864a",
      "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 7,
      "slideType": "industry_trends",
      "function": "present_solution",
      "notes": "Includes a spotlight sidebar on AI & CO2 emissions and a bottom-line statistic on competitive advantage.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/7",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-7",
      "loopMatches": [
        {
          "to": 7,
          "from": 6,
          "name": "Why Now",
          "slug": "15-why-now",
          "bestFor": "Sales pitches, fundraising, requesting immediate budget approval",
          "matchId": "019dd95a-088c-724c-b30d-a834d5fe74d4",
          "evidence": "Page 6 sets context with 28% CAGR; page 7 cements 84% see competitive advantage = window of opportunity",
          "position": 1,
          "objective": "Establish AI urgency through trends and competitive trigger",
          "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity",
          "confidence": 75,
          "description": "Create temporal urgency by proving that the window of opportunity is opening or closing"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 7,
          "from": 1,
          "beatId": "019dd95a-0702-74a3-87e1-14a1451bd461",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Situation & Context",
          "beatSlug": "consultants-gambit-situation-context",
          "evidence": "Cover, exec summary preview, AI definition + 28% CAGR + four investment areas",
          "position": 1,
          "confidence": 88,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 10,
          "from": 6,
          "beatId": "019dd95a-0702-74a3-87e1-2642c7df220f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "AI definition, growth, value steps, team impact",
          "position": 1,
          "confidence": 60,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "docSlug": "196a657db0bc864a",
      "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 8,
      "slideType": "impact_sizing",
      "function": "quantify_impact",
      "notes": "The chart uses a waterfall-like structure to show the multiplier effect (~10x, ~2x, ~2x) between stages.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/8",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-8",
      "loopMatches": [
        {
          "to": 10,
          "from": 8,
          "name": "Maturity Curve",
          "slug": "36-maturity-curve",
          "bestFor": "Digital transformation, capability building, benchmarking",
          "matchId": "019dd95a-088c-724c-b30d-acb070b61ce8",
          "evidence": "Page 8 shows 4-step maturity bar chart Discover->Build->Scale->Org Learning (2%->73%); p9-10 add the people/culture capability layers",
          "position": 2,
          "objective": "Diagnose where companies sit on AI maturity and what unlocks value",
          "structure": "Current Maturity Level -> The Gap to Next Level -> Required Capabilities -> The Roadmap",
          "confidence": 80,
          "description": "Show where you are on a progression and what it takes to reach the next level"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 12,
          "from": 8,
          "beatId": "019dd95a-0702-74a3-87e1-1be4dd58f902",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Problem & Complication",
          "beatSlug": "consultants-gambit-problem-complication",
          "evidence": "Only 11% capture value; people/data gaps; headwinds in news",
          "position": 2,
          "confidence": 88,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        },
        {
          "to": 10,
          "from": 6,
          "beatId": "019dd95a-0702-74a3-87e1-2642c7df220f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "AI definition, growth, value steps, team impact",
          "position": 1,
          "confidence": 60,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "docSlug": "196a657db0bc864a",
      "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 9,
      "slideType": "key_messages",
      "function": "present_framework",
      "notes": "Includes a spectrum of human-AI interaction modes.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/9",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-9",
      "loopMatches": [
        {
          "to": 10,
          "from": 8,
          "name": "Maturity Curve",
          "slug": "36-maturity-curve",
          "bestFor": "Digital transformation, capability building, benchmarking",
          "matchId": "019dd95a-088c-724c-b30d-acb070b61ce8",
          "evidence": "Page 8 shows 4-step maturity bar chart Discover->Build->Scale->Org Learning (2%->73%); p9-10 add the people/culture capability layers",
          "position": 2,
          "objective": "Diagnose where companies sit on AI maturity and what unlocks value",
          "structure": "Current Maturity Level -> The Gap to Next Level -> Required Capabilities -> The Roadmap",
          "confidence": 80,
          "description": "Show where you are on a progression and what it takes to reach the next level"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 12,
          "from": 8,
          "beatId": "019dd95a-0702-74a3-87e1-1be4dd58f902",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Problem & Complication",
          "beatSlug": "consultants-gambit-problem-complication",
          "evidence": "Only 11% capture value; people/data gaps; headwinds in news",
          "position": 2,
          "confidence": 88,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        },
        {
          "to": 10,
          "from": 6,
          "beatId": "019dd95a-0702-74a3-87e1-2642c7df220f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "AI definition, growth, value steps, team impact",
          "position": 1,
          "confidence": 60,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "docSlug": "196a657db0bc864a",
      "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 10,
      "slideType": "client_example",
      "function": "illustrate_case",
      "notes": "The slide uses a combination of quantitative survey data and qualitative company examples to support the thesis.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/10",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-10",
      "loopMatches": [
        {
          "to": 10,
          "from": 8,
          "name": "Maturity Curve",
          "slug": "36-maturity-curve",
          "bestFor": "Digital transformation, capability building, benchmarking",
          "matchId": "019dd95a-088c-724c-b30d-acb070b61ce8",
          "evidence": "Page 8 shows 4-step maturity bar chart Discover->Build->Scale->Org Learning (2%->73%); p9-10 add the people/culture capability layers",
          "position": 2,
          "objective": "Diagnose where companies sit on AI maturity and what unlocks value",
          "structure": "Current Maturity Level -> The Gap to Next Level -> Required Capabilities -> The Roadmap",
          "confidence": 80,
          "description": "Show where you are on a progression and what it takes to reach the next level"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 12,
          "from": 8,
          "beatId": "019dd95a-0702-74a3-87e1-1be4dd58f902",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Problem & Complication",
          "beatSlug": "consultants-gambit-problem-complication",
          "evidence": "Only 11% capture value; people/data gaps; headwinds in news",
          "position": 2,
          "confidence": 88,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        },
        {
          "to": 10,
          "from": 6,
          "beatId": "019dd95a-0702-74a3-87e1-2642c7df220f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "AI definition, growth, value steps, team impact",
          "position": 1,
          "confidence": 60,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "docSlug": "196a657db0bc864a",
      "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 11,
      "slideType": "diagnosis",
      "function": "diagnose",
      "notes": "The slide uses a three-column layout to categorize challenges, with a footer section for regulatory context.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/11",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-11",
      "loopMatches": [
        {
          "to": 12,
          "from": 11,
          "name": "Myth Buster",
          "slug": "12-myth-buster",
          "bestFor": "Rebranding, changing market perception, correcting false assumptions",
          "matchId": "019dd95a-088c-724c-b30d-b1dc2251baab",
          "evidence": "Title 'Despite positive outlook...must manage' classic belief->friction->new truth; reinforced by news contrast on p12",
          "position": 3,
          "objective": "Puncture optimism by surfacing labor/data/ethical/regulatory headwinds",
          "structure": "The Common Belief -> The Friction/Failure of that Belief -> The New Truth",
          "confidence": 78,
          "description": "Address a common misconception head-on to clear the room for a new truth"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 12,
          "from": 8,
          "beatId": "019dd95a-0702-74a3-87e1-1be4dd58f902",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Problem & Complication",
          "beatSlug": "consultants-gambit-problem-complication",
          "evidence": "Only 11% capture value; people/data gaps; headwinds in news",
          "position": 2,
          "confidence": 88,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        },
        {
          "to": 12,
          "from": 11,
          "beatId": "019dd95a-0702-74a3-87e1-298c0a6e4a8f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Three-column headwinds + news framing",
          "position": 2,
          "confidence": 60,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "docSlug": "196a657db0bc864a",
      "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 12,
      "slideType": "industry_trends",
      "function": "establish_context",
      "notes": "The slide uses a grid of news clippings to establish the current sentiment and state of the AI industry.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/12",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-12",
      "loopMatches": [
        {
          "to": 12,
          "from": 11,
          "name": "Myth Buster",
          "slug": "12-myth-buster",
          "bestFor": "Rebranding, changing market perception, correcting false assumptions",
          "matchId": "019dd95a-088c-724c-b30d-b1dc2251baab",
          "evidence": "Title 'Despite positive outlook...must manage' classic belief->friction->new truth; reinforced by news contrast on p12",
          "position": 3,
          "objective": "Puncture optimism by surfacing labor/data/ethical/regulatory headwinds",
          "structure": "The Common Belief -> The Friction/Failure of that Belief -> The New Truth",
          "confidence": 78,
          "description": "Address a common misconception head-on to clear the room for a new truth"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 12,
          "from": 8,
          "beatId": "019dd95a-0702-74a3-87e1-1be4dd58f902",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Problem & Complication",
          "beatSlug": "consultants-gambit-problem-complication",
          "evidence": "Only 11% capture value; people/data gaps; headwinds in news",
          "position": 2,
          "confidence": 88,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        },
        {
          "to": 12,
          "from": 11,
          "beatId": "019dd95a-0702-74a3-87e1-298c0a6e4a8f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Three-column headwinds + news framing",
          "position": 2,
          "confidence": 60,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "docSlug": "196a657db0bc864a",
      "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 13,
      "slideType": "key_takeaways",
      "function": "summarize",
      "notes": "The slide is divided into two main sections: 'Embed AI in your business' (points 1-2) and 'Prepare your operating model for AI' (points 3-6).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/13",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-13",
      "loopMatches": [
        {
          "to": 20,
          "from": 13,
          "name": "Mece Breakdown",
          "slug": "40-mece-breakdown",
          "bestFor": "Problem structuring, ensuring completeness, strategic analysis",
          "matchId": "019dd95a-088c-724c-b30d-b729dea8ec6e",
          "evidence": "Page 13 lists six numbered recs grouped under 'Embed AI in business' and 'Prepare operating model'; pages 14-20 deep-dive each",
          "position": 4,
          "objective": "Present six MECE leader implications across two operating buckets",
          "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage",
          "confidence": 85,
          "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 20,
          "from": 13,
          "beatId": "019dd95a-0702-74a3-87e1-1c090c00ba05",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Solution & Approach",
          "beatSlug": "consultants-gambit-solution-approach",
          "evidence": "Six implications for leaders, each on its own deep-dive page",
          "position": 3,
          "confidence": 88,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        },
        {
          "to": 20,
          "from": 13,
          "beatId": "019dd95a-0702-74a3-87e1-2dd19037d8d7",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Six leader implications and recommendations",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "docSlug": "196a657db0bc864a",
      "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 14,
      "slideType": "key_messages",
      "function": "present_solution",
      "notes": "The slide uses a mix of metrics and categorical lists to guide AI strategy.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/14",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-14",
      "loopMatches": [
        {
          "to": 20,
          "from": 13,
          "name": "Mece Breakdown",
          "slug": "40-mece-breakdown",
          "bestFor": "Problem structuring, ensuring completeness, strategic analysis",
          "matchId": "019dd95a-088c-724c-b30d-b729dea8ec6e",
          "evidence": "Page 13 lists six numbered recs grouped under 'Embed AI in business' and 'Prepare operating model'; pages 14-20 deep-dive each",
          "position": 4,
          "objective": "Present six MECE leader implications across two operating buckets",
          "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage",
          "confidence": 85,
          "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 20,
          "from": 13,
          "beatId": "019dd95a-0702-74a3-87e1-1c090c00ba05",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Solution & Approach",
          "beatSlug": "consultants-gambit-solution-approach",
          "evidence": "Six implications for leaders, each on its own deep-dive page",
          "position": 3,
          "confidence": 88,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        },
        {
          "to": 20,
          "from": 13,
          "beatId": "019dd95a-0702-74a3-87e1-2dd19037d8d7",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Six leader implications and recommendations",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "docSlug": "196a657db0bc864a",
      "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 15,
      "slideType": "key_takeaways",
      "function": "recommend",
      "notes": "The 10-20-70 rule is a specific BCG framework for AI value realization.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/15",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-15",
      "loopMatches": [
        {
          "to": 20,
          "from": 13,
          "name": "Mece Breakdown",
          "slug": "40-mece-breakdown",
          "bestFor": "Problem structuring, ensuring completeness, strategic analysis",
          "matchId": "019dd95a-088c-724c-b30d-b729dea8ec6e",
          "evidence": "Page 13 lists six numbered recs grouped under 'Embed AI in business' and 'Prepare operating model'; pages 14-20 deep-dive each",
          "position": 4,
          "objective": "Present six MECE leader implications across two operating buckets",
          "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage",
          "confidence": 85,
          "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 20,
          "from": 13,
          "beatId": "019dd95a-0702-74a3-87e1-1c090c00ba05",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Solution & Approach",
          "beatSlug": "consultants-gambit-solution-approach",
          "evidence": "Six implications for leaders, each on its own deep-dive page",
          "position": 3,
          "confidence": 88,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        },
        {
          "to": 20,
          "from": 13,
          "beatId": "019dd95a-0702-74a3-87e1-2dd19037d8d7",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Six leader implications and recommendations",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "docSlug": "196a657db0bc864a",
      "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 16,
      "slideType": "roadmap",
      "function": "plan_implementation",
      "notes": "The slide uses a vertical arrow to represent a progression from pilots to enterprise agility, mapping organizational changes to each stage.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/16",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-16",
      "loopMatches": [
        {
          "to": 20,
          "from": 13,
          "name": "Mece Breakdown",
          "slug": "40-mece-breakdown",
          "bestFor": "Problem structuring, ensuring completeness, strategic analysis",
          "matchId": "019dd95a-088c-724c-b30d-b729dea8ec6e",
          "evidence": "Page 13 lists six numbered recs grouped under 'Embed AI in business' and 'Prepare operating model'; pages 14-20 deep-dive each",
          "position": 4,
          "objective": "Present six MECE leader implications across two operating buckets",
          "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage",
          "confidence": 85,
          "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 20,
          "from": 13,
          "beatId": "019dd95a-0702-74a3-87e1-1c090c00ba05",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Solution & Approach",
          "beatSlug": "consultants-gambit-solution-approach",
          "evidence": "Six implications for leaders, each on its own deep-dive page",
          "position": 3,
          "confidence": 88,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        },
        {
          "to": 20,
          "from": 13,
          "beatId": "019dd95a-0702-74a3-87e1-2dd19037d8d7",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Six leader implications and recommendations",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "docSlug": "196a657db0bc864a",
      "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 17,
      "slideType": "recommendation",
      "function": "recommend",
      "notes": "The slide uses a numbered list format to present strategic recommendations for AI ecosystem management.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/17",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-17",
      "loopMatches": [
        {
          "to": 20,
          "from": 13,
          "name": "Mece Breakdown",
          "slug": "40-mece-breakdown",
          "bestFor": "Problem structuring, ensuring completeness, strategic analysis",
          "matchId": "019dd95a-088c-724c-b30d-b729dea8ec6e",
          "evidence": "Page 13 lists six numbered recs grouped under 'Embed AI in business' and 'Prepare operating model'; pages 14-20 deep-dive each",
          "position": 4,
          "objective": "Present six MECE leader implications across two operating buckets",
          "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage",
          "confidence": 85,
          "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 20,
          "from": 13,
          "beatId": "019dd95a-0702-74a3-87e1-1c090c00ba05",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Solution & Approach",
          "beatSlug": "consultants-gambit-solution-approach",
          "evidence": "Six implications for leaders, each on its own deep-dive page",
          "position": 3,
          "confidence": 88,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        },
        {
          "to": 20,
          "from": 13,
          "beatId": "019dd95a-0702-74a3-87e1-2dd19037d8d7",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Six leader implications and recommendations",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "docSlug": "196a657db0bc864a",
      "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 18,
      "slideType": "recommendation",
      "function": "recommend",
      "notes": "The slide uses a two-column layout to contrast strategic workforce planning with upskilling initiatives.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/18",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-18",
      "loopMatches": [
        {
          "to": 20,
          "from": 13,
          "name": "Mece Breakdown",
          "slug": "40-mece-breakdown",
          "bestFor": "Problem structuring, ensuring completeness, strategic analysis",
          "matchId": "019dd95a-088c-724c-b30d-b729dea8ec6e",
          "evidence": "Page 13 lists six numbered recs grouped under 'Embed AI in business' and 'Prepare operating model'; pages 14-20 deep-dive each",
          "position": 4,
          "objective": "Present six MECE leader implications across two operating buckets",
          "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage",
          "confidence": 85,
          "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 20,
          "from": 13,
          "beatId": "019dd95a-0702-74a3-87e1-1c090c00ba05",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Solution & Approach",
          "beatSlug": "consultants-gambit-solution-approach",
          "evidence": "Six implications for leaders, each on its own deep-dive page",
          "position": 3,
          "confidence": 88,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        },
        {
          "to": 20,
          "from": 13,
          "beatId": "019dd95a-0702-74a3-87e1-2dd19037d8d7",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Six leader implications and recommendations",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "docSlug": "196a657db0bc864a",
      "documentTitle": "Artificial Intelligence: Ready to Ride the Wave?",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.778,
      "pageNumber": 19,
      "slideType": "initiative_list",
      "function": "present_solution",
      "notes": "The slide uses a mix of card-based layout and list items to present the five strategic pillars.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-5c941f5dc5d4/19",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-5c941f5dc5d4#slide-19",
      "loopMatches": [
        {
          "to": 20,
          "from": 13,
          "name": "Mece Breakdown",
          "slug": "40-mece-breakdown",
          "bestFor": "Problem structuring, ensuring completeness, strategic analysis",
          "matchId": "019dd95a-088c-724c-b30d-b729dea8ec6e",
          "evidence": "Page 13 lists six numbered recs grouped under 'Embed AI in business' and 'Prepare operating model'; pages 14-20 deep-dive each",
          "position": 4,
          "objective": "Present six MECE leader implications across two operating buckets",
          "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage",
          "confidence": 85,
          "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 20,
          "from": 13,
          "beatId": "019dd95a-0702-74a3-87e1-1c090c00ba05",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Solution & Approach",
          "beatSlug": "consultants-gambit-solution-approach",
          "evidence": "Six implications for leaders, each on its own deep-dive page",
          "position": 3,
          "confidence": 88,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        },
        {
          "to": 20,
          "from": 13,
          "beatId": "019dd95a-0702-74a3-87e1-2dd19037d8d7",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Six leader implications and recommendations",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-587aba502de4",
      "docSlug": "2529e86cc1cf2d8d",
      "documentTitle": "Green Hydrogen: An assessment of near-term power matching requirements",
      "authorId": "BCG",
      "authorName": "IRENA",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "portrait",
      "aspectRatio": 0.707,
      "pageNumber": 42,
      "slideType": "industry_trends",
      "function": "establish_context",
      "notes": "Page 42 of a report, likely IRENA or similar energy transition publication.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-587aba502de4/42",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4#slide-42",
      "loopMatches": [
        {
          "to": 43,
          "from": 42,
          "name": "So What Cascade",
          "slug": "41-so-what-cascade",
          "bestFor": "Data presentations, executive summaries, driving to recommendations",
          "matchId": "019dd95a-088b-72c8-b7e4-92d72f516572",
          "evidence": "USD 8x cost statistic on p42 leads into recommendations list on p43",
          "position": 13,
          "objective": "Translate aviation cost gap into targeted recommendations",
          "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)",
          "confidence": 65,
          "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 45,
          "from": 34,
          "beatId": "019dd95a-0702-74a3-87dc-d54af2cd1ea7",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "Chapter 3 sectoral barriers/policy options for electrolysis, infra, industry, aviation, shipping",
          "position": 4,
          "confidence": 88,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        },
        {
          "to": 47,
          "from": 18,
          "beatId": "019dd95a-0702-74a3-87dc-e769c7e0b5af",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Pillars and sectoral policies prescribe action",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-587aba502de4",
      "docSlug": "2529e86cc1cf2d8d",
      "documentTitle": "Green Hydrogen: An assessment of near-term power matching requirements",
      "authorId": "BCG",
      "authorName": "IRENA",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "portrait",
      "aspectRatio": 0.707,
      "pageNumber": 43,
      "slideType": "recommendation",
      "function": "recommend",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-587aba502de4/43",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4#slide-43",
      "loopMatches": [
        {
          "to": 43,
          "from": 42,
          "name": "So What Cascade",
          "slug": "41-so-what-cascade",
          "bestFor": "Data presentations, executive summaries, driving to recommendations",
          "matchId": "019dd95a-088b-72c8-b7e4-92d72f516572",
          "evidence": "USD 8x cost statistic on p42 leads into recommendations list on p43",
          "position": 13,
          "objective": "Translate aviation cost gap into targeted recommendations",
          "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)",
          "confidence": 65,
          "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 45,
          "from": 34,
          "beatId": "019dd95a-0702-74a3-87dc-d54af2cd1ea7",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "Chapter 3 sectoral barriers/policy options for electrolysis, infra, industry, aviation, shipping",
          "position": 4,
          "confidence": 88,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        },
        {
          "to": 47,
          "from": 18,
          "beatId": "019dd95a-0702-74a3-87dc-e769c7e0b5af",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Pillars and sectoral policies prescribe action",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-587aba502de4",
      "docSlug": "2529e86cc1cf2d8d",
      "documentTitle": "Green Hydrogen: An assessment of near-term power matching requirements",
      "authorId": "BCG",
      "authorName": "IRENA",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "portrait",
      "aspectRatio": 0.707,
      "pageNumber": 44,
      "slideType": "industry_trends",
      "function": "establish_context",
      "notes": "Includes a callout box for 'Barriers' and decorative H2 graphic.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-587aba502de4/44",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4#slide-44",
      "loopMatches": [
        {
          "to": 45,
          "from": 44,
          "name": "So What Cascade",
          "slug": "41-so-what-cascade",
          "bestFor": "Data presentations, executive summaries, driving to recommendations",
          "matchId": "019dd95a-088b-72c8-b7e4-9515a6a0e0df",
          "evidence": "USD 1 trillion shipping investment need on p44 leads into policy recommendations on p45",
          "position": 14,
          "objective": "Translate maritime decarbonisation gap into specific government actions",
          "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)",
          "confidence": 65,
          "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 45,
          "from": 34,
          "beatId": "019dd95a-0702-74a3-87dc-d54af2cd1ea7",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "Chapter 3 sectoral barriers/policy options for electrolysis, infra, industry, aviation, shipping",
          "position": 4,
          "confidence": 88,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        },
        {
          "to": 47,
          "from": 18,
          "beatId": "019dd95a-0702-74a3-87dc-e769c7e0b5af",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Pillars and sectoral policies prescribe action",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-587aba502de4",
      "docSlug": "2529e86cc1cf2d8d",
      "documentTitle": "Green Hydrogen: An assessment of near-term power matching requirements",
      "authorId": "BCG",
      "authorName": "IRENA",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "portrait",
      "aspectRatio": 0.707,
      "pageNumber": 45,
      "slideType": "recommendation",
      "function": "recommend",
      "notes": "The slide discusses specific policy levers: fiscal incentives (taxes/levies), demand creation (targets/blending mandates), infrastructure (port development), and international regulatory coordination.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-587aba502de4/45",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4#slide-45",
      "loopMatches": [
        {
          "to": 45,
          "from": 44,
          "name": "So What Cascade",
          "slug": "41-so-what-cascade",
          "bestFor": "Data presentations, executive summaries, driving to recommendations",
          "matchId": "019dd95a-088b-72c8-b7e4-9515a6a0e0df",
          "evidence": "USD 1 trillion shipping investment need on p44 leads into policy recommendations on p45",
          "position": 14,
          "objective": "Translate maritime decarbonisation gap into specific government actions",
          "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)",
          "confidence": 65,
          "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 45,
          "from": 34,
          "beatId": "019dd95a-0702-74a3-87dc-d54af2cd1ea7",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "Chapter 3 sectoral barriers/policy options for electrolysis, infra, industry, aviation, shipping",
          "position": 4,
          "confidence": 88,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        },
        {
          "to": 47,
          "from": 18,
          "beatId": "019dd95a-0702-74a3-87dc-e769c7e0b5af",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Pillars and sectoral policies prescribe action",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-587aba502de4",
      "docSlug": "2529e86cc1cf2d8d",
      "documentTitle": "Green Hydrogen: An assessment of near-term power matching requirements",
      "authorId": "BCG",
      "authorName": "IRENA",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "portrait",
      "aspectRatio": 0.707,
      "pageNumber": 46,
      "slideType": "section_divider",
      "function": "summarize",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-587aba502de4/46",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4#slide-46",
      "loopMatches": [
        {
          "to": 47,
          "from": 46,
          "name": "Aha Moment",
          "slug": "03-aha-moment",
          "bestFor": "Data-heavy sections, research findings, analytical arguments",
          "matchId": "019dd95a-088b-72c8-b7e4-9bba439a6606",
          "evidence": "Conclusions chapter reframes momentum + barriers + four pillars into next-step recommendations",
          "position": 15,
          "objective": "Synthesize the four-pillar insight and call to act now",
          "structure": "The Problem/Question -> What the Data Shows -> The Insight",
          "confidence": 70,
          "description": "Establish a tension, present data, then deliver the insight that changes everything"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 47,
          "from": 46,
          "beatId": "019dd95a-0702-74a3-87dc-d89d30529ec4",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Impact & Next Steps",
          "beatSlug": "consultants-gambit-impact-next-steps",
          "evidence": "Conclusions chapter recaps pillars and previews follow-up sectoral briefs",
          "position": 5,
          "confidence": 88,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 47,
          "from": 18,
          "beatId": "019dd95a-0702-74a3-87dc-e769c7e0b5af",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Pillars and sectoral policies prescribe action",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-587aba502de4",
      "docSlug": "2529e86cc1cf2d8d",
      "documentTitle": "Green Hydrogen: An assessment of near-term power matching requirements",
      "authorId": "BCG",
      "authorName": "IRENA",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "portrait",
      "aspectRatio": 0.707,
      "pageNumber": 47,
      "slideType": "key_takeaways",
      "function": "summarize",
      "notes": "The slide serves as a concluding summary for a report on green hydrogen policy.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-587aba502de4/47",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4#slide-47",
      "loopMatches": [
        {
          "to": 47,
          "from": 46,
          "name": "Aha Moment",
          "slug": "03-aha-moment",
          "bestFor": "Data-heavy sections, research findings, analytical arguments",
          "matchId": "019dd95a-088b-72c8-b7e4-9bba439a6606",
          "evidence": "Conclusions chapter reframes momentum + barriers + four pillars into next-step recommendations",
          "position": 15,
          "objective": "Synthesize the four-pillar insight and call to act now",
          "structure": "The Problem/Question -> What the Data Shows -> The Insight",
          "confidence": 70,
          "description": "Establish a tension, present data, then deliver the insight that changes everything"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 47,
          "from": 46,
          "beatId": "019dd95a-0702-74a3-87dc-d89d30529ec4",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Impact & Next Steps",
          "beatSlug": "consultants-gambit-impact-next-steps",
          "evidence": "Conclusions chapter recaps pillars and previews follow-up sectoral briefs",
          "position": 5,
          "confidence": 88,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 47,
          "from": 18,
          "beatId": "019dd95a-0702-74a3-87dc-e769c7e0b5af",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Pillars and sectoral policies prescribe action",
          "position": 3,
          "confidence": 60,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-587aba502de4",
      "docSlug": "2529e86cc1cf2d8d",
      "documentTitle": "Green Hydrogen: An assessment of near-term power matching requirements",
      "authorId": "BCG",
      "authorName": "IRENA",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "portrait",
      "aspectRatio": 0.707,
      "pageNumber": 48,
      "slideType": "appendix_disclosure",
      "function": "appendix",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-587aba502de4/48",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4#slide-48",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-587aba502de4",
      "docSlug": "2529e86cc1cf2d8d",
      "documentTitle": "Green Hydrogen: An assessment of near-term power matching requirements",
      "authorId": "BCG",
      "authorName": "IRENA",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "portrait",
      "aspectRatio": 0.707,
      "pageNumber": 49,
      "slideType": "appendix_disclosure",
      "function": "appendix",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-587aba502de4/49",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4#slide-49",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-587aba502de4",
      "docSlug": "2529e86cc1cf2d8d",
      "documentTitle": "Green Hydrogen: An assessment of near-term power matching requirements",
      "authorId": "BCG",
      "authorName": "IRENA",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "portrait",
      "aspectRatio": 0.707,
      "pageNumber": 50,
      "slideType": "appendix_disclosure",
      "function": "appendix",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-587aba502de4/50",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4#slide-50",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-587aba502de4",
      "docSlug": "2529e86cc1cf2d8d",
      "documentTitle": "Green Hydrogen: An assessment of near-term power matching requirements",
      "authorId": "BCG",
      "authorName": "IRENA",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "portrait",
      "aspectRatio": 0.707,
      "pageNumber": 51,
      "slideType": "appendix",
      "function": "appendix",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-587aba502de4/51",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4#slide-51",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5de0-76bd-a169-587aba502de4",
      "docSlug": "2529e86cc1cf2d8d",
      "documentTitle": "Green Hydrogen: An assessment of near-term power matching requirements",
      "authorId": "BCG",
      "authorName": "IRENA",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "portrait",
      "aspectRatio": 0.707,
      "pageNumber": 52,
      "slideType": "cover",
      "function": "front_matter",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5de0-76bd-a169-587aba502de4/52",
      "deckHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4",
      "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-587aba502de4#slide-52",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    }
  ]
}