{
  "docId": "019dd923-5e88-73ef-bd5c-ee43d7b9a577",
  "docSlug": "277528df1ec2f36e",
  "documentTitle": "2025 The new rules of Platform Strategy in the age of agentic AI",
  "authorId": "Accenture",
  "authorName": "Accenture",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 26,
  "pageCount": 44,
  "prevPage": 25,
  "nextPage": 27,
  "slideType": "case_study",
  "function": "illustrate_case",
  "density": "dense",
  "nDataPoints": 2,
  "notes": null,
  "elementsJson": [
    "headline_text",
    "paragraph",
    "callout_box",
    "photo"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5c-ee43d7b9a577/26",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5c-ee43d7b9a577",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5c-ee43d7b9a577.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-ee43d7b9a577#slide-26",
  "components": [
    {
      "bbox": {
        "h": 0.2,
        "w": 0.2,
        "x": 0.35,
        "y": 0.32
      },
      "kind": "callout",
      "text": "The result: 25% faster processing, lower cost per invoice and a clearer interplay between platform stability, agent intelligence and human judgment.",
      "attrs": null,
      "subkind": "primary",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "853346a9-e86a-4842-9770-1f88e4c1771f",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.65,
        "w": 0.6,
        "x": 0.35,
        "y": 0.17
      },
      "kind": "image",
      "text": null,
      "attrs": null,
      "subkind": "photo",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "8267d815-d095-45c6-8538-b1967248ae6a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "processing speed: 25%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-41ab-72d9-bbb6-6606f95bb210",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.4,
        "w": 0.3,
        "x": 0.05,
        "y": 0.35
      },
      "kind": "paragraph",
      "text": "Embedded agents have transformed Western Sugar's finance operations into an intelligent, self-orchestrating system. Using SAP Ariba Central Invoice Management on SAP S/4HANA Cloud Public Edition, the company now processes about 40,000 invoices a year with no human intervention until approval.\n\nThe platform ensures structured compliance and auditability. AI agents handle contextual tasks like document recognition and error resolution. Finance teams focus on oversight and strategic improvements, saving about one week per month.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b6d98902-3ec6-4f54-bab2-e37b8849a935",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.01,
        "x": 0.45,
        "y": 0.5
      },
      "kind": "source-note",
      "text": "5",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "6f942e78-251c-420e-a9eb-a1dc985fc79e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.25,
        "x": 0.05,
        "y": 0.16
      },
      "kind": "title",
      "text": "Western Sugar: Lessons from an early mover",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "121992f2-29c9-4d5d-a561-626fde7d41f4",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.1,
        "x": 0.05,
        "y": 0.08
      },
      "kind": "title",
      "text": "Case study",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "44f21552-ab7f-401b-8320-7e4478a2c8ec",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Sinatra Test",
      "slug": "sinatra-test",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019de0e5-55d1-721f-b299-9abf0f278ca1",
      "evidence": "Early-mover case validates interplay design",
      "confidence": 65
    },
    {
      "name": "Story Moments",
      "slug": "story-moments",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019de0e5-55b2-77ba-bc66-7efea6574af0",
      "evidence": "Western Sugar case: 25% faster processing",
      "confidence": 75
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 36,
      "from": 16,
      "beatId": "019de0e5-4ad6-73ff-b184-b9bcd1c2a738",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Solution & Approach",
      "beatSlug": null,
      "evidence": "Five priorities introduced p16, each developed through p36",
      "position": 3,
      "confidence": 90,
      "parentBeatName": null,
      "parentBeatSlug": null
    },
    {
      "to": 39,
      "from": 16,
      "beatId": "019de0e5-4b93-70de-899a-a29ea2bdc9ef",
      "arcName": "Problem-Agitate-Solution",
      "arcSlug": "problem-agitate-solution",
      "beatName": "Solution (Provide relief)",
      "beatSlug": null,
      "evidence": "Five priorities + closing call to readiness",
      "position": 3,
      "confidence": 65,
      "parentBeatName": null,
      "parentBeatSlug": null
    }
  ],
  "loops": [
    {
      "to": 29,
      "from": 25,
      "name": "Mece Breakdown",
      "slug": "40-mece-breakdown",
      "bestFor": "Problem structuring, ensuring completeness, strategic analysis",
      "matchId": "019de0e5-4c71-750f-93d0-f3cc44f1654e",
      "evidence": "Three-part Venn p27 + role table p28 + 100% stacked split p29 cover the whole exhaustively",
      "position": 7,
      "objective": "Priority 3 - partition work across platforms, humans, agents (MECE)",
      "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage",
      "confidence": 85,
      "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}