{
  "docId": "019dd923-5de0-76bd-a167-2c7e6778aa25",
  "docSlug": "81229dadfdb9603d",
  "documentTitle": "Intelligent banking",
  "authorId": "KPMG",
  "authorName": "KPMG",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 21,
  "pageCount": 44,
  "prevPage": 20,
  "nextPage": 22,
  "slideType": "case_study",
  "function": "illustrate_case",
  "density": "overcrowded",
  "nDataPoints": 4,
  "notes": "Uses a standard three-column 'Challenge-Approach-Result' framework.",
  "elementsJson": [
    "headline_text",
    "paragraph"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a167-2c7e6778aa25/21",
  "deckHref": "/decks/019dd923-5de0-76bd-a167-2c7e6778aa25",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a167-2c7e6778aa25.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a167-2c7e6778aa25#slide-21",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "The Gen AI chatbot solution demonstrated the potential to shift from a primarily manual review process to an AI-assisted approach that reduces time, effort and risk.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-c7c6-71dc-a485-57355303c5d4",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.5,
        "w": 0.25,
        "x": 0.07,
        "y": 0.35
      },
      "kind": "framework",
      "text": "Client challenge",
      "attrs": null,
      "subkind": "instance",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "0520f383-9aa4-468e-a378-8f3d50e23a86",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.5,
        "w": 0.25,
        "x": 0.67,
        "y": 0.35
      },
      "kind": "framework",
      "text": "Value delivered",
      "attrs": null,
      "subkind": "instance",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "542d95f2-24ef-4b98-9df0-6995718721ff",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.5,
        "w": 0.25,
        "x": 0.37,
        "y": 0.35
      },
      "kind": "framework",
      "text": "Our approach",
      "attrs": null,
      "subkind": "instance",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "5ccd10f1-b976-4451-8a99-5e49caf53db2",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.4,
        "w": 0.28,
        "x": 0.07,
        "y": 0.39
      },
      "kind": "paragraph",
      "text": "KPMG's client, a leading global banking group serving over 21 million customers... The risk team, however, has struggled to find an efficient way to navigate and comply with 17 separate regulations that involve over 2,000 regulatory requirements across over 1,600 pages.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "164bee21-4ab8-4475-b9d7-6edbe1435f4a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.4,
        "w": 0.28,
        "x": 0.67,
        "y": 0.39
      },
      "kind": "paragraph",
      "text": "The Gen AI chatbot solution demonstrated the potential to shift from a primarily manual review process to an AI-assisted approach that reduces time, effort and risk. Thirty-six regulatory compliance evaluation cases within the POC were tested.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "81abfcd5-e1b3-42a9-a02b-60d6471bfe1b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.4,
        "w": 0.28,
        "x": 0.37,
        "y": 0.39
      },
      "kind": "paragraph",
      "text": "Professionals from a KPMG member firm analyzed the available AI solutions on the market and built a customized Gen AI chatbot. This technology solution operates on a 'chat-with-document' logic... A proof of concept (POC) was developed initially.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f15995e6-b40c-4dc4-a957-de9a416f9b63",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.6,
        "x": 0.05,
        "y": 0.18
      },
      "kind": "title",
      "text": "Making a step change in regulatory compliance with Gen AI",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "5f1bd7e7-abcf-47c9-b0bc-2c5d43dcc2b8",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Audience Definition",
      "slug": "audience-definition",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "0a7bf9cf-4d30-4351-ad7b-cb72a891ae27",
      "evidence": "KPMG's client, a leading global banking group serving over 21 million customers",
      "confidence": 0.5
    },
    {
      "name": "Problem-Agitate-Solve (PAS)",
      "slug": "problem-agitate-solve-pas",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "51af4621-b926-49fc-a1ef-3bb3474bb65f",
      "evidence": "The risk team, however, has struggled to find an efficient way to navigate and comply with 17 separate regulations",
      "confidence": 0.7
    }
  ],
  "frameworks": [
    {
      "name": "before-after-bridge",
      "slug": null,
      "matchId": "9d0027cb-fa0d-4feb-bfcd-bdae569be01d",
      "evidence": "Three-column structure detailing challenge, approach, and results.",
      "confidence": 0.9
    }
  ],
  "arcBeats": [
    {
      "to": 35,
      "from": 21,
      "beatId": "73dc2408-6fc3-46e7-965d-25f264e8c6d7",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Impact & Next Steps",
      "beatSlug": "consultants-gambit-impact-next-steps",
      "evidence": "The deck discusses key considerations and use cases for AI adoption",
      "position": 3,
      "confidence": 0.8,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}