{
  "docId": "019dd923-5efe-75c0-8dff-47abbe6ec3f4",
  "docSlug": "dd05edc0227f631b",
  "documentTitle": "2025 03 Summit Investor Meeting",
  "authorId": "Adobe",
  "authorName": "Adobe",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 31,
  "pageCount": 109,
  "prevPage": 30,
  "nextPage": 32,
  "slideType": "market_landscape",
  "function": "present_framework",
  "density": "sparse",
  "nDataPoints": 0,
  "notes": "The slide uses a layered stack approach to represent the platform architecture.",
  "elementsJson": [
    "process_diagram",
    "icon_grid"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5efe-75c0-8dff-47abbe6ec3f4/31",
  "deckHref": "/decks/019dd923-5efe-75c0-8dff-47abbe6ec3f4",
  "deckJsonHref": "/decks/019dd923-5efe-75c0-8dff-47abbe6ec3f4.json",
  "deckAnchorHref": "/decks/019dd923-5efe-75c0-8dff-47abbe6ec3f4#slide-31",
  "components": [
    {
      "bbox": {
        "h": 0.72,
        "w": 0.92,
        "x": 0.04,
        "y": 0.18
      },
      "kind": "diagram",
      "text": "Layered architecture showing Apps & Interfaces, Agent Orchestration, Models, and Data",
      "attrs": null,
      "subkind": "value-chain",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "21997249-3573-44df-b385-b44d4ccf5249",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.06,
        "w": 0.55,
        "x": 0.315,
        "y": 0.225
      },
      "kind": "image",
      "text": "Adobe product icons",
      "attrs": null,
      "subkind": "logo-grid",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "34d7de14-a7b9-4dbe-b8a3-cc7784754928",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.045,
        "w": 0.275,
        "x": 0.048,
        "y": 0.075
      },
      "kind": "title",
      "text": "Adobe's AI Platform",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "526f09d1-54c4-420c-9b53-0878c9e816dd",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Value chain",
      "slug": "value-chain",
      "agent": null,
      "layer": "slide",
      "matchId": "44df0cb2-e43e-4129-8d83-99aaf712ec87",
      "evidence": "diagram/value-chain: Layered architecture showing Apps & Interfaces, Agent Orchestration, Models, and Data",
      "confidence": 0.8
    }
  ],
  "frameworks": [
    {
      "name": "Adobe AI Platform",
      "slug": null,
      "matchId": "019dd95a-1d21-7467-a466-6d5369c55e0b",
      "evidence": "Title and structure match the AI Platform framework.",
      "confidence": 80
    },
    {
      "name": "value-chain",
      "slug": null,
      "matchId": "bf7229c1-08f1-4e06-98c1-1b71ee96127f",
      "evidence": "Layered stack diagram representing platform components",
      "confidence": 0.8
    }
  ],
  "arcBeats": [
    {
      "to": 33,
      "from": 21,
      "beatId": "019dd95a-07a7-7579-bd61-c88f348b3135",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Solution & Approach",
      "beatSlug": "consultants-gambit-solution-approach",
      "evidence": "AI strategy, AI Platform layers, how-we-win framework",
      "position": 3,
      "confidence": 82,
      "parentBeatName": "Turn",
      "parentBeatSlug": "turn"
    },
    {
      "to": 82,
      "from": 21,
      "beatId": "019dd95a-07a7-7579-bd61-d8b8df997338",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Implications (So What)",
      "beatSlug": "triple-take-the-implications-so-what",
      "evidence": "AI strategy and segment plays explain what the facts mean",
      "position": 2,
      "confidence": 55,
      "parentBeatName": "Reflection",
      "parentBeatSlug": "reflection"
    }
  ],
  "loops": [
    {
      "to": 33,
      "from": 21,
      "name": "Mece Breakdown",
      "slug": "40-mece-breakdown",
      "bestFor": "Problem structuring, ensuring completeness, strategic analysis",
      "matchId": "019dd95a-08f8-7619-ac2a-f1e6502a2c86",
      "evidence": "Repeating layered diamond stack across p21, p22, p32, p72 partitions the AI Platform.",
      "position": 4,
      "objective": "Decompose Adobe's AI strategy into MECE platform layers (Apps, Agent Orchestration, Models, Data)",
      "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"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}