{
  "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": 11,
  "pageCount": 39,
  "prevPage": 10,
  "nextPage": 12,
  "slideType": "key_takeaways",
  "function": "quantify_impact",
  "density": "dense",
  "nDataPoints": 16,
  "notes": "The chart uses a stacked bar approach to show the distribution of strategic bets across four stages: not planned, planned, early stages, and scaled.",
  "elementsJson": [
    "headline_text",
    "bar_chart_horizontal",
    "paragraph"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a167-b6263dfec84f/11",
  "deckHref": "/decks/019dd923-5de0-76bd-a167-b6263dfec84f",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a167-b6263dfec84f.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a167-b6263dfec84f#slide-11",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "The front-runners have scaled 34% of their strategic bets, on average.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-a673-77f6-86b4-8f57d1ddb8a1",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.75,
        "w": 0.5,
        "x": 0.44,
        "y": 0.12
      },
      "kind": "chart",
      "text": "Figure 3: Scale for success",
      "attrs": null,
      "subkind": "bar-stacked",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "221232a4-b377-4e24-83f7-110fc7e097a0",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Percentage of strategic bets scaled: 34%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-a673-77f6-86b4-91ae9a7d297c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.35,
        "x": 0.07,
        "y": 0.32
      },
      "kind": "paragraph",
      "text": "Indeed, front-runners not only place more strategic bets but also scale them at a significantly higher rate than other companies do. As Figure 3 illustrates, front-runners have, on average, already scaled 34% of the strategic bets (or three to four bets) that are most relevant to their industry; another 40% of front-runners’ strategic bets are in the early stages of scaling. Fast-followers, on the other hand, have not yet fully scaled any strategic bets, with only 33% in the early stages of scaling. The numbers for companies that are progressing with AI (8% of strategic bets scaled, 32% in the early stages) and for companies that are only experimenting with AI (5% and 28%, respectively) similarly underscore the gap they need to close.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "bac3659a-3628-4e5a-8075-72e4705fd2e8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.15,
        "x": 0.44,
        "y": 0.88
      },
      "kind": "source-note",
      "text": "Source: Accenture Research",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7c49e667-1659-43d8-8572-75674c3af2ee",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.35,
        "x": 0.07,
        "y": 0.15
      },
      "kind": "title",
      "text": "What distinguishes front-runners from fast-followers is their relative aptitude at deploying and scaling strategic bets.",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7a2fb1f2-7ca7-4722-9fb1-6f4b3c9d4214",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [
    {
      "metricRaw": "Percentage of strategic bets scaled",
      "numberRaw": "34%",
      "numberKind": "percent",
      "actionTitle": "What distinguishes front-runners from fast-followers is their relative aptitude at deploying and scaling strategic bets.",
      "calloutText": "The front-runners have scaled 34% of their strategic bets, on average.",
      "numberScale": null,
      "numberValue": 34,
      "metricFamily": "survey_sentiment",
      "numberCurrency": null
    }
  ],
  "tools": [
    {
      "name": "Contrast Pairs",
      "slug": "contrast-pairs",
      "agent": "Storyteller",
      "layer": "loop",
      "matchId": "019dd95a-0f08-73d3-9880-45d210baecf1",
      "evidence": "Opens front-runners vs fast-followers contrast that runs through p13.",
      "confidence": 75
    },
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-0f08-73d3-9880-3d3e9e47b82c",
      "evidence": "Title makes the so-what: 'What distinguishes front-runners is aptitude at deploying and scaling.'",
      "confidence": 85
    },
    {
      "name": "Concrete Language",
      "slug": "concrete-language",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019dd95a-0f08-73d3-9880-4390f3521f19",
      "evidence": "Specific: 'scaled 34% of strategic bets, on average.'",
      "confidence": 80
    }
  ],
  "frameworks": [],
  "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
}