{
  "docId": "019dd923-5de0-76bd-a167-8c001a8e9ea1",
  "docSlug": "762886f3685037a2",
  "documentTitle": "Gen AI amplified",
  "authorId": "Accenture",
  "authorName": "Accenture",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 14,
  "pageCount": 21,
  "prevPage": 13,
  "nextPage": 15,
  "slideType": "recommendation",
  "function": "recommend",
  "density": "overcrowded",
  "nDataPoints": 2,
  "notes": "Includes a pull-quote from Arnab Chakraborty and a client case study box.",
  "elementsJson": [
    "headline_text",
    "action_title",
    "paragraph",
    "quote_block",
    "callout_box"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a167-8c001a8e9ea1/14",
  "deckHref": "/decks/019dd923-5de0-76bd-a167-8c001a8e9ea1",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a167-8c001a8e9ea1.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a167-8c001a8e9ea1#slide-14",
  "components": [
    {
      "bbox": {
        "h": 0.6,
        "w": 0.25,
        "x": 0.68,
        "y": 0.27
      },
      "kind": "callout",
      "text": "Setting standards for responsible AI. A multinational consumer healthcare organization wanted to define a clear policy and vision to scale responsible AI (RAI) across the enterprise...",
      "attrs": null,
      "subkind": "primary",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "2f116f4a-a400-47cc-8dbd-1f886185d2e0",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "callout",
      "text": "Leaders acknowledge the importance of responsible AI principles, but there is a gap in their practical implementation — our research shows that only 2% of companies have fully operationalized responsible AI across their organizations.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-a672-7739-9cf0-8a03ff11bccc",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "healthcare executives citing cybersecurity as a major barrier to scaling gen AI: 85%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-a672-7739-9cf0-9364867ece15",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.28,
        "x": 0.07,
        "y": 0.69
      },
      "kind": "paragraph",
      "text": "Independent of honest mistakes by well-intentioned employees, the growing number of AI users and applications increases security vulnerabilities. Eighty-five percent of healthcare executives in our survey cite cybersecurity as a major barrier to scaling gen AI.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "2c116130-b818-4bf8-b925-7995784d7c21",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.28,
        "x": 0.07,
        "y": 0.48
      },
      "kind": "paragraph",
      "text": "LLMs introduce new challenges. As more employees use gen AI tools in their daily work, there’s greater risk of unintentionally exposing sensitive organizational data. Publicly available tools, even when used with good intentions, can open doors to confidentiality breaches and privacy violations.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "37d44887-0ea2-4b87-8116-12ac51fcca4f",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.28,
        "x": 0.07,
        "y": 0.27
      },
      "kind": "paragraph",
      "text": "The rise of generative AI, particularly large language models (LLMs), has amplified the importance of responsible AI practices. Responsible AI requires intentional actions to design, deploy and manage AI systems that create value, build trust and mitigate risks.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7ac67d2f-ec70-4cce-8160-9653744676ed",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.2,
        "x": 0.4,
        "y": 0.53
      },
      "kind": "paragraph",
      "text": "Arnab Chakraborty, Accenture Chief Responsible AI Officer",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "df4ba97d-e158-4db4-98bf-302e9d06fb13",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.25,
        "x": 0.4,
        "y": 0.39
      },
      "kind": "quote",
      "text": "Leaders acknowledge the importance of responsible AI principles, but there is a gap in their practical implementation — our research shows that only 2% of companies have fully operationalized responsible AI across their organizations.",
      "attrs": null,
      "subkind": "pull-quote",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "55c2a0ad-3b68-485b-9340-a3ecce167ae7",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "quote",
      "text": "Leaders acknowledge the importance of responsible AI principles, but there is a gap in their practical implementation — our research shows that only 2% of companies have fully operationalized responsible AI across their organizations. — Arnab Chakraborty, Accenture Chief Responsible AI Officer",
      "attrs": null,
      "subkind": null,
      "toolName": "Authority citation",
      "toolSlug": "authority-citation",
      "confidence": null,
      "componentId": "019dd951-a672-7739-9cf0-8d9fd00db19a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.45,
        "x": 0.07,
        "y": 0.15
      },
      "kind": "title",
      "text": "Action 3: Prioritize responsible and secure AI deployment.",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d9c1eefe-434d-47b2-b26d-79dc6dea96cb",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [
    {
      "metricRaw": "healthcare executives citing cybersecurity as a major barrier to scaling gen AI",
      "numberRaw": "85%",
      "numberKind": "percent",
      "actionTitle": "Action 3: Prioritize responsible and secure AI deployment.",
      "calloutText": "Leaders acknowledge the importance of responsible AI principles, but there is a gap in their practical implementation — our research shows that only 2% of companies have fully operationalized responsible AI across their organizations.",
      "numberScale": null,
      "numberValue": 85,
      "metricFamily": "other",
      "numberCurrency": null
    }
  ],
  "tools": [
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-0c44-723b-ae0c-19584ef1f843",
      "evidence": "'Action 3: Prioritize responsible and secure AI deployment'",
      "confidence": 85
    },
    {
      "name": "AIDA Model",
      "slug": "aida-model",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "d205aadc-4cdb-4050-b92f-fd9402d5efd2",
      "evidence": "quote: Leaders acknowledge the importance of responsible AI principles, but there is a gap in their practical implementation — our research shows that only 2% of companies have fully operationalized responsible AI across",
      "confidence": 0.7
    },
    {
      "name": "Concrete Language",
      "slug": "concrete-language",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019dd95a-0c44-723b-ae0c-1ef6e63d8ef8",
      "evidence": "85% awareness vs only 2% have fully operationalized — sharp benchmarks",
      "confidence": 85
    },
    {
      "name": "Contrast Principle",
      "slug": "contrast-principle",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-0c44-723b-ae0c-217c2c52bb81",
      "evidence": "Awareness (85%) vs operationalization (2%) — explicit gap",
      "confidence": 75
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 15,
      "from": 10,
      "beatId": "019dd95a-0680-7418-820b-4f560404928d",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Solution & Approach",
      "beatSlug": "consultants-gambit-solution-approach",
      "evidence": "Path-to-reinvention divider, 5 imperatives, 4 actions",
      "position": 3,
      "confidence": 88,
      "parentBeatName": "Turn",
      "parentBeatSlug": "turn"
    },
    {
      "to": 15,
      "from": 10,
      "beatId": "019dd95a-0680-7418-820b-5c0934d2b5a8",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Implications (So What)",
      "beatSlug": "triple-take-the-implications-so-what",
      "evidence": "5 imperatives + 4 actions roadmap",
      "position": 2,
      "confidence": 55,
      "parentBeatName": "Reflection",
      "parentBeatSlug": "reflection"
    }
  ],
  "loops": [
    {
      "to": 15,
      "from": 10,
      "name": "Mece Breakdown",
      "slug": "40-mece-breakdown",
      "bestFor": "Problem structuring, ensuring completeness, strategic analysis",
      "matchId": "019dd95a-07fd-712f-b774-a3398e4b6f7d",
      "evidence": "Section divider then '5 imperatives for a reinvention strategy' with 01-05 cards followed by Actions 1-4 deep dives",
      "position": 3,
      "objective": "Lay out a complete, non-overlapping 5-imperative reinvention roadmap",
      "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage",
      "confidence": 78,
      "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}