{
  "docId": "019dd923-5ca1-7489-b637-2c79eb4da4f7",
  "docSlug": "fd1a22c5f6d95a06",
  "documentTitle": "TEI Microsoft Agentic AI",
  "authorId": "Forrester",
  "authorName": "Forrester",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "industry_analyst",
  "sourceTypeLabel": "Industry analyst",
  "presentationDate": null,
  "orientation": "portrait",
  "aspectRatio": 0.773,
  "pageNumber": 5,
  "pageCount": 46,
  "prevPage": 4,
  "nextPage": 6,
  "slideType": "impact_sizing",
  "function": "quantify_impact",
  "density": "overcrowded",
  "nDataPoints": 11,
  "notes": "Includes a testimonial quote and a bar chart detailing three-year benefits.",
  "elementsJson": [
    "headline_text",
    "big_number",
    "quote_block",
    "bar_chart_horizontal"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b637-2c79eb4da4f7/5",
  "deckHref": "/decks/019dd923-5ca1-7489-b637-2c79eb4da4f7",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b637-2c79eb4da4f7.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b637-2c79eb4da4f7#slide-5",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "We are becoming an AI-first company and using agentic AI to improve operational efficiencies and reduce costs.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-c23e-726c-a799-2e2d7c5e8a91",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.4,
        "w": 0.8,
        "x": 0.05,
        "y": 0.45
      },
      "kind": "chart",
      "text": "Benefits (Three-Year) breakdown by category",
      "attrs": null,
      "subkind": "bar-horizontal",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "21cd47fa-8852-4cca-b712-6f015ee9dc84",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.4,
        "x": 0.05,
        "y": 0.97
      },
      "kind": "disclaimer",
      "text": "This study is commissioned by Microsoft and delivered by Forrester Consulting.",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "4912ca81-7c61-4ebd-a283-3045e2124b98",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.2,
        "x": 0.05,
        "y": 0.29
      },
      "kind": "metric",
      "text": "120% Return on investment (ROI)",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "157470db-2497-4b91-b134-ccb78515da62",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.2,
        "x": 0.05,
        "y": 0.36
      },
      "kind": "metric",
      "text": "$24.2M Net present value (NPV)",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "5f05b612-29c9-4685-a318-7d9fb6ae07bb",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.2,
        "x": 0.5,
        "y": 0.36
      },
      "kind": "metric",
      "text": "15 months Payback",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "958f7620-69d4-4f0a-9d58-6cfc547a4961",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.2,
        "x": 0.5,
        "y": 0.29
      },
      "kind": "metric",
      "text": "$44.5M Benefits PV",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f33b06b4-55c2-41ae-bd3d-0d19b783cc06",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "ROI: 120%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-c23e-726c-a799-34c15b2e75a9",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.9,
        "x": 0.05,
        "y": 0.13
      },
      "kind": "quote",
      "text": "We are becoming an AI-first company and using agentic AI to improve operational efficiencies and reduce costs. We are also embedding agents in our existing offerings as well as defining completely new services to create new revenue streams.",
      "attrs": null,
      "subkind": "pull-quote",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "6debe813-29f3-4b48-84fc-aad084f4f97e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "quote",
      "text": "We are becoming an AI-first company and using agentic AI to improve operational efficiencies and reduce costs. We are also embedding agents in our existing offerings as well as defining completely new services to create new revenue streams. — Enterprise applications architect, healthcare technology",
      "attrs": null,
      "subkind": null,
      "toolName": "Authority citation",
      "toolSlug": "authority-citation",
      "confidence": null,
      "componentId": "019dd951-c23e-726c-a799-317328b4743a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.35,
        "x": 0.05,
        "y": 0.08
      },
      "kind": "title",
      "text": "1.12 percentage points",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d384874a-12bc-421e-9870-a95aa0d1e3ca",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.45,
        "x": 0.05,
        "y": 0.05
      },
      "kind": "title",
      "text": "Increase in net margin due to operations transformation",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "3a07a9ed-8ec4-4c76-a4c2-5014f5b98a33",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [
    {
      "metricRaw": "ROI",
      "numberRaw": "120%",
      "numberKind": "percent",
      "actionTitle": "Increase in net margin due to operations transformation",
      "calloutText": "We are becoming an AI-first company and using agentic AI to improve operational efficiencies and reduce costs.",
      "numberScale": null,
      "numberValue": 120,
      "metricFamily": "margin_return",
      "numberCurrency": null
    }
  ],
  "tools": [
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019de8ca-0199-72f4-936c-5ac3e1a23089",
      "evidence": "Title states insight: Increase in net margin 1.12 percentage points.",
      "confidence": 88
    },
    {
      "name": "Chart Selection Guide",
      "slug": "chart-selection-guide",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019de8ca-022a-763b-9a94-10fa5932574a",
      "evidence": "Horizontal bars chosen for ranking dollar magnitudes by category.",
      "confidence": 75
    },
    {
      "name": "Data-Ink Ratio",
      "slug": "data-ink-ratio",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019de8ca-01bd-76e9-9271-b952b613144c",
      "evidence": "Clean horizontal bar chart, no chartjunk, labels on bars only.",
      "confidence": 80
    },
    {
      "name": "Picture Superiority Effect",
      "slug": "picture-superiority-effect",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019de8ca-0250-70c7-921c-507c1e327e1e",
      "evidence": "Bar chart makes relative benefit sizes instantly comparable.",
      "confidence": 70
    },
    {
      "name": "Visual Hierarchy",
      "slug": "visual-hierarchy",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019de8ca-01e2-7067-aef8-4fa75305240a",
      "evidence": "Big-number KPIs 120%, $44.5M, $24.2M, 15 months dominate composition.",
      "confidence": 85
    },
    {
      "name": "Von Restorff Effect",
      "slug": "von-restorff-effect",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019de8ca-0206-703c-ad1c-6c2e682855aa",
      "evidence": "Oversized green numbers stand out vs body text.",
      "confidence": 78
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 5,
      "from": 1,
      "beatId": "019de8c9-fd82-7351-b647-862d6c7ef32d",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Situation & Context",
      "beatSlug": null,
      "evidence": "Cover plus executive summary establishing study scope and headline ROI/NPV.",
      "position": 1,
      "confidence": 88,
      "parentBeatName": null,
      "parentBeatSlug": null
    },
    {
      "to": 9,
      "from": 2,
      "beatId": "019de8c9-fe66-761d-a494-aacc3ae98feb",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Facts (What)",
      "beatSlug": null,
      "evidence": "Exec summary numbers and composite-org facts.",
      "position": 1,
      "confidence": 60,
      "parentBeatName": null,
      "parentBeatSlug": null
    }
  ],
  "loops": [
    {
      "to": 5,
      "from": 2,
      "name": "So What Cascade",
      "slug": "41-so-what-cascade",
      "bestFor": "Data presentations, executive summaries, driving to recommendations",
      "matchId": "019de8c9-fed8-71bf-918d-d5d3981520e4",
      "evidence": "Pages 2-5 surface ROI 120%, NPV $24.2M, benefits PV $44.5M, then 1.12pp net-margin so-what.",
      "position": 1,
      "objective": "Reveal headline ROI/NPV and cascade so-what insights",
      "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)",
      "confidence": 85,
      "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}