{
  "docId": "019dd923-5ca1-7489-b633-746ffdbc9114",
  "docSlug": "6543568fbc47af38",
  "documentTitle": "The age of AI: Banking’s new reality",
  "authorId": "Accenture",
  "authorName": "Accenture",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 31,
  "pageCount": 41,
  "prevPage": 30,
  "nextPage": 32,
  "slideType": "initiative_list",
  "function": "plan_implementation",
  "density": "dense",
  "nDataPoints": 0,
  "notes": null,
  "elementsJson": [
    "headline_text",
    "subtitle_text",
    "bullet_list",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b633-746ffdbc9114/31",
  "deckHref": "/decks/019dd923-5ca1-7489-b633-746ffdbc9114",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b633-746ffdbc9114.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-746ffdbc9114#slide-31",
  "components": [
    {
      "bbox": {
        "h": 0.15,
        "w": 0.28,
        "x": 0.05,
        "y": 0.26
      },
      "kind": "list",
      "text": "Enhance existing RAI governing principles with clear taxonomy, accountability and governance for responsible generative AI usage.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "29dc1e45-95f7-489e-8b76-1595cc04512c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.25,
        "w": 0.28,
        "x": 0.67,
        "y": 0.26
      },
      "kind": "list",
      "text": "Put in place change management systems that engage with the bank's compliance program to positively address how generative AI will impact the workforce, sustainability, and privacy and security across the enterprise.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "2c71413e-d170-4e78-bcf2-70ed378ed149",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.28,
        "x": 0.36,
        "y": 0.26
      },
      "kind": "list",
      "text": "Amplify and broaden existing model risk management measures to mitigate the risks specific to generative AI.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "4b3380ae-cfe8-4e33-94f9-ff9cfe2cd870",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.28,
        "x": 0.36,
        "y": 0.39
      },
      "kind": "list",
      "text": "Continuously monitor generative AI systems and initiatives in conjunction with mitigation and compliance activities.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "571f1037-3997-457f-8b88-f905baeed2c1",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.28,
        "x": 0.05,
        "y": 0.39
      },
      "kind": "list",
      "text": "Assess the risks of generative AI use cases, applications and systems across the enterprise through qualitative and quantitative assessments.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f33b8723-597f-41e4-8ba1-3baed7a31a5e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.1,
        "x": 0.05,
        "y": 0.18
      },
      "kind": "title",
      "text": "ACTIONS",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "267ac350-f7fa-4519-9e69-2bcebf32f80f",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.4,
        "x": 0.05,
        "y": 0.08
      },
      "kind": "title",
      "text": "Close the gap on responsible AI",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b14d77ef-b2e0-4b5d-b909-30691a5788d6",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Chunking",
      "slug": "chunking",
      "agent": "Architect",
      "layer": "loop",
      "matchId": "019dd95a-0f08-73d3-987a-e315a8c9033b",
      "evidence": "Bulleted ACTIONS list for the responsible AI imperative",
      "confidence": 80
    },
    {
      "name": "Parallel Structure",
      "slug": "parallel-structure",
      "agent": "Architect",
      "layer": "loop",
      "matchId": "019dd95a-0f08-73d3-987a-e4abbfaeed2f",
      "evidence": "Bullets follow imperative-verb pattern",
      "confidence": 75
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 34,
      "from": 13,
      "beatId": "019dd95a-0682-776c-8e32-635915b6754b",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Evidence & Proof",
      "beatSlug": "consultants-gambit-evidence-proof",
      "evidence": "Each imperative built out with figure, recommendation, named bank case study, and actions",
      "position": 4,
      "confidence": 92,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    },
    {
      "to": 36,
      "from": 13,
      "beatId": "019dd95a-0682-776c-8e32-728a04f7c9a1",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Action (Now What)",
      "beatSlug": "triple-take-the-action-now-what",
      "evidence": "Per-imperative actions, case studies and ROI playbook",
      "position": 3,
      "confidence": 65,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [
    {
      "to": 31,
      "from": 28,
      "name": "Mece Breakdown",
      "slug": "40-mece-breakdown",
      "bestFor": "Problem structuring, ensuring completeness, strategic analysis",
      "matchId": "019dd95a-07fe-70ce-8d3a-2f2683c8597f",
      "evidence": "Six labelled risk buckets (Bias, Liability, Unreliable outputs, Confidentiality, Sustainability, Workforce) then case + actions",
      "position": 8,
      "objective": "Catalogue distinct responsible-AI risk categories then show response",
      "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage",
      "confidence": 80,
      "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}