{
  "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": 5,
  "pageCount": 19,
  "prevPage": 4,
  "nextPage": 6,
  "slideType": "market_landscape",
  "function": "present_framework",
  "density": "balanced",
  "nDataPoints": 0,
  "notes": null,
  "elementsJson": [
    "headline_text",
    "paragraph",
    "icon_grid"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5c-b1fd37abc6e1/5",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5c-b1fd37abc6e1",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5c-b1fd37abc6e1.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-b1fd37abc6e1#slide-5",
  "components": [
    {
      "bbox": {
        "h": 0.15,
        "w": 0.7,
        "x": 0.15,
        "y": 0.35
      },
      "kind": "image",
      "text": null,
      "attrs": null,
      "subkind": "icon-grid",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "36c21790-ba66-4b20-aa60-56ba51adff52",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.55,
        "w": 0.88,
        "x": 0.06,
        "y": 0.3
      },
      "kind": "list",
      "text": "Generative AI: Learns from historical data and produces new content; Follows a set of rules to automate repetitive tasks. AI Agents: Achieves a singular goal; Addresses broader range of tasks; Automates entire workflows. Agentic AI: Adapts and learns to make real-time decisions; Autonomous – AI Agents collaborate with each other to streamline workflows.",
      "attrs": null,
      "subkind": "comparison",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f32e6cf3-e15f-4ecf-b97f-1fc414ac1b8d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.06,
        "w": 0.88,
        "x": 0.06,
        "y": 0.15
      },
      "kind": "paragraph",
      "text": "Agentic AI refers to the broad field of developing AI systems, capable of independent and adaptive goal-oriented activities and covering the development of AI agents.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "8e964ebe-11cc-4e95-a59d-134da105e608",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.45,
        "x": 0.06,
        "y": 0.08
      },
      "kind": "title",
      "text": "Generative AI, agentic AI, and AI agents",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d4f16096-1232-4700-b45c-c17fcd6d818f",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "The Rule of Three",
      "slug": "the-rule-of-three",
      "agent": "Storyteller",
      "layer": "block",
      "matchId": "019de067-31d2-7101-80ed-615a3fbd26c1",
      "evidence": "Generative AI / AI Agents / Agentic AI triad",
      "confidence": 80
    },
    {
      "name": "Law of Similarity",
      "slug": "law-of-similarity",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019de067-31aa-724c-a919-47dd67fceef1",
      "evidence": "three identically-styled cards mark the same level of abstraction",
      "confidence": 75
    },
    {
      "name": "One Idea Rule",
      "slug": "one-idea-rule",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019de067-317f-73da-8e8c-afabaaf69fc0",
      "evidence": "single concept: definitional taxonomy",
      "confidence": 70
    },
    {
      "name": "Picture Superiority Effect",
      "slug": "picture-superiority-effect",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019de067-3118-7677-8fd0-f767e9f42374",
      "evidence": "icon-led cards anchor each definition",
      "confidence": 70
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 7,
      "from": 4,
      "beatId": "019de067-2de5-70c8-806f-d7d7abb7ab0f",
      "arcName": "AIDA",
      "arcSlug": "aida",
      "beatName": "Interest",
      "beatSlug": null,
      "evidence": "maturity baseline, definitions, IDC adoption curve",
      "position": 2,
      "confidence": 72,
      "parentBeatName": null,
      "parentBeatSlug": null
    },
    {
      "to": 7,
      "from": 3,
      "beatId": "019de067-2e91-718c-ad8f-08210928f992",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Situation & Context",
      "beatSlug": null,
      "evidence": "definitions, baseline, market trajectory",
      "position": 1,
      "confidence": 48,
      "parentBeatName": null,
      "parentBeatSlug": null
    }
  ],
  "loops": [
    {
      "to": 7,
      "from": 3,
      "name": "Zoom In",
      "slug": "06-zoom-in",
      "bestFor": "Technical deep-dives, case studies, detailed analysis",
      "matchId": "019de067-2f9a-73ab-80d7-790e58b86a2f",
      "evidence": "p3 big picture intro -> p4 maturity focus -> p5-6 specific definitions -> p7 implication via IDC adoption curve.",
      "position": 1,
      "objective": "Establish what agentic AI is and where the market is going",
      "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
      "confidence": 70,
      "description": "Start broad, then progressively focus on specific details that prove your point"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}