{
  "docId": "019dd923-5e88-73ef-bd5c-b1fd37abc6e1",
  "docSlug": "3c200098b4db2724",
  "documentTitle": "2025 Agentic AI on the Rise Keys to Unlocking Value",
  "authorId": "AWS",
  "authorName": "AWS",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "vendor_thought_leadership",
  "sourceTypeLabel": "Vendor thought leadership",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.294,
  "pageNumber": 8,
  "pageCount": 19,
  "prevPage": 7,
  "nextPage": 9,
  "slideType": "client_example",
  "function": "illustrate_case",
  "density": "dense",
  "nDataPoints": 0,
  "notes": "The slide uses a three-column layout to present different content types (Blog, Article, Video) as examples of agentic AI implementation.",
  "elementsJson": [
    "headline_text",
    "paragraph",
    "callout_box"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5c-b1fd37abc6e1/8",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5c-b1fd37abc6e1",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5c-b1fd37abc6e1.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-b1fd37abc6e1#slide-8",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "The journey to implementing agentic AI solutions takes different paths depending on your organizational needs and technical maturity.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-41aa-7578-83cd-30f1f4811f0c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.25,
        "x": 0.37,
        "y": 0.34
      },
      "kind": "list",
      "text": "Agentic AI implementation patterns",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "94624bc2-c89d-472e-acc2-e55c323366ee",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.25,
        "x": 0.66,
        "y": 0.34
      },
      "kind": "list",
      "text": "Salesforce customer experience evolution",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a94d96e7-a276-4c3f-93c3-1fc84b774e6a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.25,
        "x": 0.07,
        "y": 0.34
      },
      "kind": "list",
      "text": "Twitch's ad sales transformation",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "e51ec0e0-3c81-4429-b920-5e720b584975",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.05,
        "x": 0.4,
        "y": 0.29
      },
      "kind": "other",
      "text": "ARTICLE",
      "attrs": null,
      "subkind": "unclassified",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "39470ef0-c353-4533-acda-5dfb20e1ddde",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.05,
        "x": 0.09,
        "y": 0.29
      },
      "kind": "other",
      "text": "BLOG",
      "attrs": null,
      "subkind": "unclassified",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "6a21d0c3-1619-4251-ac2e-b2e832ef3c22",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.05,
        "x": 0.69,
        "y": 0.29
      },
      "kind": "other",
      "text": "VIDEO",
      "attrs": null,
      "subkind": "unclassified",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d8269566-9ac0-44b7-99db-6eb04f54278c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.88,
        "x": 0.06,
        "y": 0.18
      },
      "kind": "paragraph",
      "text": "The journey to implementing agentic AI solutions takes different paths depending on your organizational needs and technical maturity. Through real-world implementations, we can understand how organizations navigate this transformation. See how AWS customers and Partners are innovating with agentic applications.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "310341ef-53e3-4755-83aa-960c39a2c6dd",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.35,
        "x": 0.06,
        "y": 0.08
      },
      "kind": "title",
      "text": "Real-world agentic AI on AWS",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "3d1b1604-ed07-4ab6-9720-4d86e6c0aa76",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Inductive Reasoning",
      "slug": "inductive-reasoning",
      "agent": "Architect",
      "layer": "loop",
      "matchId": "019de067-32ce-7747-ac66-c7599c80b6a1",
      "evidence": "loop opens with first set of customer cases pointing to a pattern",
      "confidence": 70
    },
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019de067-3321-71e9-8d33-008ec2276cbc",
      "evidence": "kicker frames the takeaway as real-world proof",
      "confidence": 60
    },
    {
      "name": "Social Validation",
      "slug": "social-validation",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019de067-32f7-727f-93c0-36189c962e45",
      "evidence": "names AWS customers using Bedrock Agents",
      "confidence": 75
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 17,
      "from": 8,
      "beatId": "019de067-2e0e-73a0-a9c0-e2dabafb5391",
      "arcName": "AIDA",
      "arcSlug": "aida",
      "beatName": "Desire",
      "beatSlug": null,
      "evidence": "case studies, industries, AWS services, AgentCore stack",
      "position": 3,
      "confidence": 72,
      "parentBeatName": null,
      "parentBeatSlug": null
    },
    {
      "to": 10,
      "from": 8,
      "beatId": "019de067-2f0b-75a8-a4c5-7bf47096cd46",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Evidence & Proof",
      "beatSlug": null,
      "evidence": "real-world AWS Bedrock customer case studies",
      "position": 4,
      "confidence": 48,
      "parentBeatName": null,
      "parentBeatSlug": null
    }
  ],
  "loops": [
    {
      "to": 10,
      "from": 8,
      "name": "Pattern Hunter",
      "slug": "02-pattern-hunter",
      "bestFor": "Time-pressed audiences, building consensus, when data is strong",
      "matchId": "019de067-2fc3-7307-8ea6-467bf0022b73",
      "evidence": "Three slides stack customer cases and industry examples that converge on the pattern that agentic AI is delivering today.",
      "position": 2,
      "objective": "Show real-world adoption proves agentic AI works",
      "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
      "confidence": 75,
      "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}