{
  "docId": "019dd923-5de0-76bd-a16b-0ea49d021bbe",
  "docSlug": "148a062f7e47b0b5",
  "documentTitle": "Trends &amp; 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": 18,
  "pageCount": 29,
  "prevPage": 17,
  "nextPage": 19,
  "slideType": "impact_sizing",
  "function": "quantify_impact",
  "density": "overcrowded",
  "nDataPoints": 0,
  "notes": "The slide uses a process-like flow connecting high-level value propositions (less time, higher value, lower cost) to specific operational opportunities.",
  "elementsJson": [
    "headline_text",
    "paragraph",
    "process_diagram"
  ],
  "metadataConfidence": 0.95,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a16b-0ea49d021bbe/18",
  "deckHref": "/decks/019dd923-5de0-76bd-a16b-0ea49d021bbe",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a16b-0ea49d021bbe.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a16b-0ea49d021bbe#slide-18",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "CAI solutions can both solve end user problems and leverage end user data to create efficient business outcomes.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-0491-71ac-9dbe-a2a9abfd7fea",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.6,
        "x": 0.36,
        "y": 0.75
      },
      "kind": "diagram",
      "text": "3. Business Evolution: Generate continuous insights from end user conversations to optimize customer care service and business operations",
      "attrs": null,
      "subkind": "process",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "5d72471e-ec86-404e-8dcc-d79f6798287c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.6,
        "x": 0.36,
        "y": 0.52
      },
      "kind": "diagram",
      "text": "2. Real-Time Recommendations: Analyze historical and real-time data via AI / ML models, to offer recommendations to both AI and Human agents (e.g., sales opportunities during calls)",
      "attrs": null,
      "subkind": "process",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "6ea560c2-196f-4c6a-9c5d-2ad1abd6b680",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.6,
        "x": 0.36,
        "y": 0.3
      },
      "kind": "diagram",
      "text": "1. Self-Service: Enable end-user omni-channel engagement with both Human and AI agents (e.g., call center, web interface, app, text message)",
      "attrs": null,
      "subkind": "process",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "94838d5e-7cba-406c-a4d9-5c024c9907bc",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.2,
        "x": 0.04,
        "y": 0.42
      },
      "kind": "list",
      "text": "in less time",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "420c4cf6-371f-47a4-8a13-1098c3bfac0f",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.2,
        "x": 0.09,
        "y": 0.55
      },
      "kind": "list",
      "text": "of higher value",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "af37543b-f713-4046-b513-75611507daef",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.22,
        "x": 0.05,
        "y": 0.68
      },
      "kind": "list",
      "text": "decreasing cost burden",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "df213717-a5f5-463f-9fe5-5551433069f1",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.25,
        "x": 0.04,
        "y": 0.15
      },
      "kind": "paragraph",
      "text": "High-Level Impact: Solutions for clients, employees and business partners business problems...",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "8e83d8a8-f2fa-4233-9a7c-e3f9f6fcafa2",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.6,
        "x": 0.36,
        "y": 0.15
      },
      "kind": "paragraph",
      "text": "Conversational AI Opportunities: CAI solutions can both solve end user problems and leverage end user data to create efficient business outcomes",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "fc76848b-ff52-470f-9cc9-d907b4b7cb1e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.3,
        "x": 0.04,
        "y": 0.07
      },
      "kind": "title",
      "text": "Primary Areas of CAI Impact",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "0e29d134-c234-49f9-b4b4-ea016ea00bd6",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "The Rule of Three",
      "slug": "the-rule-of-three",
      "agent": "Storyteller",
      "layer": "block",
      "matchId": "019deab8-5a13-749d-b1b2-97adddaa4b5b",
      "evidence": "Three opportunities: self-service, real-time, business evolution.",
      "confidence": 80
    },
    {
      "name": "2x2 matrix",
      "slug": "matrix-2x2",
      "agent": null,
      "layer": "slide",
      "matchId": "0a27b675-27ad-4a44-9f53-b836d2d02338",
      "evidence": "The slide features three process diagrams, which could be related to a 2x2 matrix or a similar framework.",
      "confidence": 0.5
    },
    {
      "name": "Visual Hierarchy",
      "slug": "visual-hierarchy",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019deab8-59f0-74bb-b5ae-3567ae2c0fe7",
      "evidence": "Top-level value props connect down to three opportunities.",
      "confidence": 78
    }
  ],
  "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
}