{
  "docId": "019dd923-5de0-76bd-a16b-0ea49d021bbe",
  "docSlug": "148a062f7e47b0b5",
  "documentTitle": "Trends & AI in the Contact Center",
  "authorId": "Deloitte",
  "authorName": "Deloitte",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 16,
  "pageCount": 29,
  "prevPage": 15,
  "nextPage": 17,
  "slideType": "initiative_list",
  "function": "present_solution",
  "density": "sparse",
  "nDataPoints": 0,
  "notes": "The slide uses a staggered layout of hexagons to present 8 distinct use cases for conversational AI.",
  "elementsJson": [
    "process_diagram",
    "icon_grid"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a16b-0ea49d021bbe/16",
  "deckHref": "/decks/019dd923-5de0-76bd-a16b-0ea49d021bbe",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a16b-0ea49d021bbe.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-0ea49d021bbe#slide-16",
  "components": [
    {
      "bbox": {
        "h": 0.15,
        "w": 1,
        "x": 0,
        "y": 0.85
      },
      "kind": "callout",
      "text": "To discuss: What impacts customer care interactions",
      "attrs": null,
      "subkind": "primary",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "1699787e-ffb8-4978-b135-fe1a70af4d69",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.823,
        "x": 0.088,
        "y": 0.35
      },
      "kind": "diagram",
      "text": "Staggered hexagonal layout of use cases",
      "attrs": null,
      "subkind": "process",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "bf9b29e4-fcdf-4e5f-8116-c3cf7785fcc0",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.035,
        "w": 0.418,
        "x": 0.038,
        "y": 0.075
      },
      "kind": "title",
      "text": "Potential Conversational AI Use Cases",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "2db9f7cf-7758-4804-a4c7-ee7ec482b667",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Chunking",
      "slug": "chunking",
      "agent": "Architect",
      "layer": "loop",
      "matchId": "019deab8-5908-722b-bcbe-1e39e8272f11",
      "evidence": "8 use cases chunked as discrete hexagonal tiles.",
      "confidence": 70
    },
    {
      "name": "Issue Tree",
      "slug": "issue-tree",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "b057b274-f0a3-49d0-86f0-74cfd9385291",
      "evidence": "The slide features a 'Staggered hexagonal layout of use cases,' which could be related to issue tree analysis.",
      "confidence": 0.5
    },
    {
      "name": "Law of Similarity",
      "slug": "law-of-similarity",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019deab8-58e0-728d-bd53-cc5d46c9b16f",
      "evidence": "Identical hex shapes signal peer-level use cases.",
      "confidence": 80
    },
    {
      "name": "Visual Hierarchy",
      "slug": "visual-hierarchy",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019deab8-58ba-702c-9744-36f64aef7856",
      "evidence": "Hexagon staggered grid groups 8 use cases visually.",
      "confidence": 75
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 23,
      "from": 14,
      "beatId": "019deab8-53af-7352-a807-e611713aa078",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Solution & Approach",
      "beatSlug": null,
      "evidence": "CAI use cases, value, TrueServe framework, GenAI fit, architecture (p16-23).",
      "position": 3,
      "confidence": 88,
      "parentBeatName": null,
      "parentBeatSlug": null
    },
    {
      "to": 23,
      "from": 16,
      "beatId": "019deab8-546c-7543-b0a1-9efb0c50aa46",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Implications (So What)",
      "beatSlug": null,
      "evidence": "AI use cases, NPS impact, solution framework.",
      "position": 2,
      "confidence": 55,
      "parentBeatName": null,
      "parentBeatSlug": null
    }
  ],
  "loops": [
    {
      "to": 18,
      "from": 16,
      "name": "Aha Moment",
      "slug": "03-aha-moment",
      "bestFor": "Data-heavy sections, research findings, analytical arguments",
      "matchId": "019deab8-5509-75a2-9734-714f81a06309",
      "evidence": "Use cases set up (p16) -> 120pt NPS, 40-60% deflection data (p17) -> three impact areas (p18).",
      "position": 3,
      "objective": "Reveal Conversational AI's outsized value",
      "structure": "The Problem/Question -> What the Data Shows -> The Insight",
      "confidence": 75,
      "description": "Establish a tension, present data, then deliver the insight that changes everything"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}