{
  "docId": "019dd923-5de0-76bd-a167-b6263dfec84f",
  "docSlug": "d97350c7b2b6040b",
  "documentTitle": "The front-runners’ guide to scaling AI Lessons from industry leaders",
  "authorId": "Accenture",
  "authorName": "Accenture",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 12,
  "pageCount": 39,
  "prevPage": 11,
  "nextPage": 13,
  "slideType": "data_table",
  "function": "quantify_impact",
  "density": "overcrowded",
  "nDataPoints": 24,
  "notes": "The chart uses a waffle-chart style visualization where each square represents a group of companies.",
  "elementsJson": [
    "paragraph",
    "heatmap",
    "other"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a167-b6263dfec84f/12",
  "deckHref": "/decks/019dd923-5de0-76bd-a167-b6263dfec84f",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a167-b6263dfec84f.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a167-b6263dfec84f#slide-12",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Nearly all front-runners have adopted three or more of these.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-a673-77f6-86b4-a7d7aaa42fac",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.3,
        "w": 0.52,
        "x": 0.388,
        "y": 0.25
      },
      "kind": "chart",
      "text": "Waffle chart showing capability adoption levels across four segments",
      "attrs": null,
      "subkind": "heatmap",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f0834a44-5ab9-408c-aab0-e695e1e29848",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.52,
        "x": 0.388,
        "y": 0.65
      },
      "kind": "legend",
      "text": "# of capabilities that a company has developed. (Each square represents more than a single company.)",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f68daba5-525a-46fe-bc28-ec1f620cd2eb",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "AI foundational capabilities adoption: 97%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-a673-77f6-86b4-abe849394c3d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.25,
        "x": 0.073,
        "y": 0.133
      },
      "kind": "paragraph",
      "text": "So why do front-runners excel at scaling strategic bets? After all, more fast-followers (89%) than front-runners (81%) have already developed the five AI foundational capabilities referenced in Figure 1. To understand why, look first to the new data and AI essential capabilities for gen AI. Here, front-runners have a clear edge: We found that 28% of front-runners have developed all five of these capabilities, compared to only 19% of fast-followers. The edge is also evident when front-runners are compared to other companies. As Figure 4 shows, 97% of front-runners have developed three or more of the new data and AI essential capabilities for gen AI, compared to just 5% of companies that are experimenting with AI (Figure 4).",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "270bbd99-7129-4cc6-b3c1-32609ad36d8d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.1,
        "x": 0.388,
        "y": 0.76
      },
      "kind": "source-note",
      "text": "Source: Accenture Research",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7ed75844-af4c-4ef1-90b8-0dc03fe2c71d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.35,
        "x": 0.388,
        "y": 0.133
      },
      "kind": "title",
      "text": "Figure 4: The new data and AI essential capabilities for gen AI",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "5c9bb885-f3ca-4380-a48a-30e2253b94be",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.35,
        "x": 0.388,
        "y": 0.158
      },
      "kind": "title",
      "text": "Nearly all front-runners have adopted three or more of these",
      "attrs": null,
      "subkind": "subtitle",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "60633676-ae3d-438e-aa55-f2f6eecebac6",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [
    {
      "metricRaw": "AI foundational capabilities adoption",
      "numberRaw": "97%",
      "numberKind": "percent",
      "actionTitle": null,
      "calloutText": "Nearly all front-runners have adopted three or more of these.",
      "numberScale": null,
      "numberValue": 97,
      "metricFamily": "share_penetration",
      "numberCurrency": null
    }
  ],
  "tools": [
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-0f08-73d3-9880-48a63c6e7cc0",
      "evidence": "Subtitle: 'Nearly all front-runners have adopted three or more of these.'",
      "confidence": 85
    },
    {
      "name": "Color Strategy",
      "slug": "color-strategy",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-0f08-73d3-9880-50b0d1421734",
      "evidence": "Gray-to-purple gradient encodes capability count 0-5.",
      "confidence": 75
    },
    {
      "name": "Contrast Principle",
      "slug": "contrast-principle",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-0f08-73d3-9880-56eab3876fbe",
      "evidence": "Front-runner waffle is mostly purple vs experimenting one mostly gray.",
      "confidence": 75
    },
    {
      "name": "Small Multiples",
      "slug": "small-multiples",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-0f08-73d3-9880-4de328b4c7d3",
      "evidence": "Four 10x10 waffle grids compared side by side.",
      "confidence": 90
    }
  ],
  "frameworks": [
    {
      "name": "Waffle Chart",
      "slug": null,
      "matchId": "019dd95a-1ca5-70bb-bb9f-a1238691cc8b",
      "evidence": "Four 10x10 waffle grids encode share of firms by capability count.",
      "confidence": 80
    }
  ],
  "arcBeats": [
    {
      "to": 13,
      "from": 10,
      "beatId": "019dd95a-0682-776c-8e32-f348f24fa735",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Solution & Approach",
      "beatSlug": "consultants-gambit-solution-approach",
      "evidence": "'Breaking away' divider plus essentials adoption and CEO sponsorship explain how front-runners scale.",
      "position": 3,
      "confidence": 90,
      "parentBeatName": "Turn",
      "parentBeatSlug": "turn"
    },
    {
      "to": 19,
      "from": 4,
      "beatId": "019dd95a-0682-776c-8e32-fc9f2305201e",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Facts (What)",
      "beatSlug": "triple-take-the-facts-what",
      "evidence": "Survey results: maturity segments, capability gaps, industry leaders, challenge rankings.",
      "position": 1,
      "confidence": 60,
      "parentBeatName": "Setup",
      "parentBeatSlug": "setup"
    }
  ],
  "loops": [
    {
      "to": 13,
      "from": 11,
      "name": "Tale Two Worlds",
      "slug": "04-tale-two-worlds",
      "bestFor": "Competitive analysis, benchmarking, case for change",
      "matchId": "019dd95a-07fe-70ce-8d3a-a11f9f90d1a7",
      "evidence": "p11 names the gap (34% scaled bets), p12 waffles compare 4 segments, p13 quotes 19% vs 5% sponsorship.",
      "position": 3,
      "objective": "Contrast front-runners vs fast-followers across capability adoption and sponsorship.",
      "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication",
      "confidence": 80,
      "description": "Show the gap between two states to drive urgency or highlight opportunity"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}