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"chunking", "layer": "Slide", "evidence": "10 numbered DfM guidelines arranged in a zigzag", "confidence": 80 }, { "id": 132, "slug": "visual-hierarchy", "layer": "Slide", "evidence": "Numbered circles + zigzag layout enforce reading order", "confidence": 70 }, { "id": 89, "slug": "anaphora", "layer": "Loop", "evidence": "Guidelines repeat opening verbs ('Design parts...', 'Design parts...', 'Minimize...', 'Minimize...')", "confidence": 65 } ], "page_number": 19 }, { "tools": [ { "id": 121, "slug": "metaphor-analogy", "layer": "Slide", "evidence": "'Seamless, interconnected ecosystem...continuous loop' biological/ecosystem metaphor", "confidence": 70 }, { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Reinforces the 'foundation for factory of the future' message", "confidence": 60 } ], "page_number": 20 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Title 'Three next steps to enable a fully digital, adaptive ecosystem' states the recommendation", "confidence": 80 }, { "id": 121, "slug": "metaphor-analogy", "layer": "Slide", "evidence": "Conducting metaphors: 'Orchestration', 'Virtualization', 'Closing the loop'", "confidence": 78 }, { "id": 165, "slug": "picture-superiority-effect", "layer": "Slide", "evidence": "Each of the three steps anchored by a worker/factory photo", "confidence": 75 }, { "id": 116, "slug": "chunking", "layer": "Slide", "evidence": "Recommendation chunked into three parallel cards", "confidence": 80 }, { "id": 34, "slug": "the-rule-of-three", "layer": "Block", "evidence": "Explicit 'Three next steps' (Orchestration, Virtualization, Closing the loop)", "confidence": 88 }, { "id": 21, "slug": "before-after", "layer": "Loop", "evidence": "Sets up the action whose Renault before/after proof follows on p.22", "confidence": 70 } ], "page_number": 21 }, { "tools": [ { "id": 154, "slug": "concrete-language", "layer": "Slide", "evidence": "Quantified deltas: -40% production time, -20% energy/vehicle, EUR300M savings by 2026", "confidence": 90 }, { "id": 155, "slug": "credibility-transfer", "layer": "Slide", "evidence": "Named case study (Renault) transfers brand credibility to the recommendation", "confidence": 88 }, { "id": 165, "slug": "picture-superiority-effect", "layer": "Slide", "evidence": "Digital-twin imagery of Renault's production line dominates left half", "confidence": 75 }, { "id": 156, "slug": "emotional-appeal", "layer": "Slide", "evidence": "Vivid 'company taking purposeful steps now to thrive in the future' framing", "confidence": 55 } ], "page_number": 22 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Title 'Conclusion: From managing to orchestrating' encapsulates the deck's thesis", "confidence": 85 }, { "id": 124, "slug": "closing-techniques", "layer": "Slide", "evidence": "Final challenge line: 'design this future-or be forced to adapt to it'", "confidence": 90 }, { "id": 121, "slug": "metaphor-analogy", "layer": "Slide", "evidence": "Managing -> orchestrating metaphor reframes the manager's role", "confidence": 80 }, { "id": 156, "slug": "emotional-appeal", "layer": "Slide", "evidence": "Hero shot of human conducting humanoid robots evokes the future-vision feeling", "confidence": 70 }, { "id": 165, "slug": "picture-superiority-effect", "layer": "Slide", "evidence": "Full-bleed AI-generated factory image carries the emotional weight", "confidence": 80 }, { "id": 68, "slug": "loss-aversion", "layer": "Block", "evidence": "'be forced to adapt' frames inaction as a loss the audience must avoid", "confidence": 75 } ], "page_number": 23 } ], "slides_seen": 27, "deck_summary": "Strong Consultant's Gambit alignment: clear situation -> MECE four-area complication -> recommendation framework -> Renault proof -> loss-framed CTA. Action titles, concrete stats, and a picture-driven '2040 vision -> today's gap' arc match Storymakers patterns well; main weakness is interleaving problem and solution within each enabler section rather than fully separating them.", "secondary_arcs": [ { "id": 11, "slug": "triple-take", "beats": [ { "name": "The Facts (What)", "end_page": 7, "evidence": "2040 vision and current state of manufacturing", "position": 1, "start_page": 4 }, { "name": "The Implications (So What)", "end_page": 20, "evidence": "Four-area gap analysis between today's priorities and 2040 needs", "position": 2, "start_page": 8 }, { "name": "The Action (Now What)", "end_page": 23, "evidence": "Three next steps + Renault proof + conclusion CTA", "position": 3, "start_page": 21 } ], "evidence": "Pattern of facts (survey data) -> implications (limitations vs priorities) -> action (next steps) recurs across each of the 4 areas and at deck level", "confidence": 60 } ], "images_inspected": 9, "slide_frameworks": [ { "frameworks": [ { "name": "Industrial Revolution Timeline", "slug": "industrial-revolution-timeline", "evidence": "Bar chart timeline: Mechanization 1784 -> Mass Production -> Automation -> Digitalization -> AI -> Hyper-Automation 2040", "confidence": 75 } ], "page_number": 5 }, { "frameworks": [ { "name": "Hyper-Automation Maturity Model", "slug": "hyper-automation-maturity-model", "evidence": "Figure 5 'The hyper-automation advantage' compares 4 maturity tiers across 5 KPIs", "confidence": 80 } ], "page_number": 13 }, { "frameworks": [ { "name": "Design for Manufacturing (DfM) Guidelines", "slug": "design-for-manufacturing-guidelines", "evidence": "Figure 8 explicitly titled 'DfM guidelines' with 10 numbered principles", "confidence": 90 } ], "page_number": 19 }, { "frameworks": [ { "name": "Orchestration-Virtualization-Closing the Loop", "slug": "orchestration-virtualization-closing-the-loop", "evidence": "Three labelled next-step cards (Orchestration / Virtualization / Closing the loop) form Accenture's recommendation framework", "confidence": 75 } ], "page_number": 21 } ] }, "matchedAt": "2026-04-26 00:45:06+00", "slidesSeen": 27, "deckSummary": "Strong Consultant's Gambit alignment: clear situation -> MECE four-area complication -> recommendation framework -> Renault proof -> loss-framed CTA. Action titles, concrete stats, and a picture-driven '2040 vision -> today's gap' arc match Storymakers patterns well; main weakness is interleaving problem and solution within each enabler section rather than fully separating them.", "imagesInspected": 9, "extractionSeconds": 325.4399 }, "score": { "backend": "codex", "scoredAt": "2026-05-02 15:39:13.775+00", "subScores": { "scqa_arc": 68, "action_titles": 54, "mece_structure": 72, "closing_strength": 70, "evidence_quality": 83, "clarity_of_thesis": 78, "production_quality": 66, "visual_storytelling": 76 }, "totalScore": 71, "coveragePct": 100, "explanations": { "scqa_arc": "The deck has a Situation in slides 4-7, Complications in slides 8-20, and an Answer in slides 21-23, but the governing Question is mostly implicit.", "action_titles": "Many headings remain topic labels or section markers rather than insight sentences; for example, slide 13 uses \"The hyper-automation advantage\".", "mece_structure": "The workforce, automation, AI optimization, and digitalization pillars are broadly exhaustive for the stated vision, but slides 12-20 overlap across automation, AI, and digital foundations.", "closing_strength": "Slides 21 and 23 provide next steps and a clear directional call to action, but they stop short of a concrete recommendation with owners, timing, or implementation sequence.", "evidence_quality": "Claims are supported with survey charts on slides 6, 9, and 16, quantified examples on slides 10 and 22, methodology on slide 25, and references on slide 24.", "clarity_of_thesis": "The central argument is identifiable by slides 4-5 as a 2040 shift toward hyper-automated factories, but it is framed as opportunity and vision rather than one crisp declarative thesis.", "production_quality": "The deck is professionally branded with consistent components and references, but action-title density is uneven and several dense slides, especially slides 6, 9, 16, and 20, strain whitespace.", "visual_storytelling": "The deck uses an appropriate mix of charts, tables, frameworks, cases, and big callouts, though slide 6 is overcrowded and several dense narrative pages rely more on text than visual logic." }, "slidesAnalyzed": 27 }, "review": { "backend": null, "verdict": "A competent Accenture thought-leadership deck with genuine MECE pillar discipline and a solid closing arc, but too many topic-label titles and a delayed thesis keep it from being a Storymakers exemplar — use its pillar structure and closing triplet as teaching material, not its opening.", "reviewedAt": "2026-04-24 13:16:03+00", "slidesSeen": 27, "suggestions": [ "Lead p.1 or p.4 with a single BLUF slide stating the thesis numerically (e.g. the 70% / 62% / 53% stat anchored to a reader decision) before the 2040 vision unfolds", "Rewrite topic-label titles into action titles: p.7 → 'Four enablers — workforce, automation, AI, digitalization — define the 2040 factory'; p.14 → 'Humanoid robots will move from pilots to mainstream staples by 2040'", "Add an automation case_study between p.13 and p.15 to mirror the Accenture-client example pattern used for the other three pillars, and tighten p.19/p.20 into one slide since they share a title" ], "closingScore": 72, "openingScore": 62, "topStrengths": [ "Clean MECE pillar structure via the four 'WHAT'S NEEDED NOW' slides (p.8, 12, 15, 18) covering workforce, automation, AI, digitalization", "Strong closing triplet: next-steps framework (p.21) → Renault proof point with 40% production-time drop (p.22) → memorable one-line verdict (p.23)", "Consistent pattern within each pillar: problem_statement → diagnose (survey data) → illustrate_case, giving each section its own mini-arc" ], "topWeaknesses": [ "Thesis is delayed: 3 front-matter slides plus 2 context slides mean the core claim isn't fully framed until p.5–7", "Several titles remain topic labels rather than insights — p.7 'The 2040 vision', p.14 'Humanoid robots' growing capabilities', p.20 repeats p.19's title verbatim", "Pillar 2 (automation, p.12–14) lacks a case_study payoff equivalent to what p.10 and p.17 deliver for the other pillars, breaking symmetry" ], "narrativeScore": 70, "pillarCritique": "No formal section dividers, but the four 'WHAT'S NEEDED NOW' slides (p.8, 12, 15, 18) function as MECE pillars — workforce, automation, AI optimization, digitalization — which are cleanly non-overlapping and collectively exhaustive of the argument.", "closingCritique": "p.21 explicitly offers 'Three next steps', p.22 lands a concrete Renault proof point, and p.23 closes with a memorable line ('design this future—or be forced to adapt to it'), giving a proper CTA arc — though the 'next steps' are generic and not tied to a specific reader decision.", "openingCritique": "Slides 1–5 establish the stakes thematically ('hyper-automation and workforce transformation will define tomorrow's most competitive factories') but bury the thesis behind cover, authors, ToC, and two 'today's opportunity / 2040 vision' context slides; 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"text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:42:19.307+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d0737756-e95a-4e2f-a0e6-c5a060bffbcc", "parentComponentId": null }, { "bbox": { "h": 0.458, "w": 0.385, "x": 0.112, "y": 0.308 }, "kind": "list", "text": "Page 4 Introduction: Today's opportunity to shape the future of manufacturing\nPage 5 The 2040 vision: hyper-automated factories\nPage 8 What's needed now: Workforce transformation to 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Those taking part in the survey and research represented automotive manufacturers, automotive suppliers, industrial machinery manufacturers, industrial equipment manufacturers, electrical equipment manufacturers, heavy equipment manufacturers, commercial aerospace manufacturers and commercial aerospace suppliers. The research covered factories ranging in scale from 100 workers to more than 5,000, and from locations in the US, Europe, China, India and Japan.\n\nWe focused our research on factory managers because of their vantage point and because they are the ultimate arbiters of whether their vision of the future will become a reality. 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The answer won't just be determined by cost efficiency and quality levels; in fact, high marks on both are table stakes. 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Since the usual planning period for factories in our surveyed industries is about five to seven years, anything beyond that is generally thought of as a “vision.” Taking the vision of 2040 articulated by our survey respondents as our starting point, we set out to close the gap between what's in their sights in the next five to seven years, and what's beyond in terms of planning and actions.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:42:21.092+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1483c456-0ef7-4f9c-b7bb-376b8d03f47e", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.38, "x": 0.11, "y": 0.77 }, "kind": "paragraph", "text": "This report follows that structure. The first major section articulates the 2040 vision—what the factory of the future could look like. Subsequently, it outlines guardrails for the steps that factory managers need to take across four areas: Workforce, Automation, AI optimization and Digitalization. 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However, among respondents in large factories, that figure jumps to 58%. And it’s interesting to note that these views vary geographically, with 63% managers in India, 65% in China and 72% in Japan considering humanoid robots valuable for manufacturing assembly lines, compared to 35% in US and 21% in Europe. 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In fact, early adopters in the automotive industry are already testing humanoid robots' potential, with positive results. Several automotive OEMs in China have achieved near-100% automation in their body shops using humanoid robots. NIO4 has 300 robots—operated by only a dozen workers—and is able to produce 20 vehicles per hour. 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And Schaeffler7 has invested in Agility Robotics and sees the potential to deploy its Digit humanoid robots across its global manufacturing network of 100 plants by 2030 to automate tasks physically demanding, repetitive or hazardous. (Figure 6 illustrates the growing capabilities of humanoid robots.)", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:42:22.651+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "579e3928-115a-4b24-a881-035601cc1904", "parentComponentId": null }, { "bbox": { "h": 0.104, "w": 0.428, "x": 0.111, "y": 0.152 }, "kind": "paragraph", "text": "Ultimately, the nature and variability of products and the extent of customization will drive a company's choice of model. In any case though, selecting the right path means first determining whether transforming existing facilities (brownfield approach) or investing in new factories (greenfield approach) will offer the most economically viable approach. 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Study: Manufacturing in U.S. Could Need Up to 3.8 Million Workers... 17. Renault Group settles into the future with its industrial metaverse.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Numbered list", "slug": "numbered", "status": "active", "canonId": "019de52c-fcc0-7718-a284-a4250c805df2", "version": 1, "description": null }, "framework": null }, "subkind": "numbered", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:42:21.466+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0d467cd2-9132-417c-b8f0-3835e1f62740", "parentComponentId": null }, { "bbox": { "h": 0.035, "w": 0.135, "x": 0.111, "y": 0.118 }, "kind": "title", "text": "References", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:42:21.466+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8429107c-adf3-43fd-86bf-21023da0fb59", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 25, "type": "setup", "function": "other", "rawType": "appendix_methodology", "block": null, "metadata": { "slideType": "appendix_methodology", "slideTypeCanon": { "name": "Appendix methodology", "slug": "appendix_methodology", "status": "active", "canonId": "019de52d-07d9-726c-8599-167f2d2ffaa7", "version": 1, "description": null }, "function": "other", "functionCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce", "version": 1, "description": null }, "density": "dense", "densityScore": 58, "componentCount": 5, "textChars": 1857, "nDataPoints": 2, "notes": null, "elementsJson": [ "paragraph", "footnote" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 18:42:22.711+00", "seconds": 3.249, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a167-bdd95398840a/25", "deck": "/decks/019dd923-5de0-76bd-a167-bdd95398840a", "deckAnchor": "/decks/019dd923-5de0-76bd-a167-bdd95398840a#slide-25", "deckJson": "/decks/019dd923-5de0-76bd-a167-bdd95398840a.json" }, "components": [ { "bbox": { "h": 0.097, "w": 0.778, "x": 0.111, "y": 0.833 }, "kind": "disclaimer", "text": "Copyright © 2025 Accenture. All rights reserved. Accenture and its logo are registered trademarks of Accenture.\n\nThis content is provided for general information purposes and is not intended to be used in place of consultation with our professional advisors. This document refers to marks owned by third parties. All such third-party marks are the property of their respective owners. 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Participants represented a wide spectrum of factories—from 100 to over 5,000 workers—spanning industries such as automotive, industrial machinery, electrical and heavy equipment, and commercial aerospace.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:42:22.711+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "094f91a9-4e48-42aa-9ddf-e0c55f3ecf0e", "parentComponentId": null }, { "bbox": { "h": 0.153, "w": 0.389, "x": 0.111, "y": 0.264 }, "kind": "paragraph", "text": "Accenture employed a focused two-phase research approach for this study. First, from August to September 2024, we conducted 15 in-depth interviews with heads of production from leading automotive, industrial, and aerospace companies. These conversations explored how executives define their company-specific manufacturing target picture and the strategic pillars that support it.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:42:22.711+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "63544283-c911-4bf2-b465-a7d87676edb3", "parentComponentId": null }, { "bbox": { "h": 0.069, "w": 0.389, "x": 0.111, "y": 0.715 }, "kind": "paragraph", "text": "By engaging both, manufacturing executives and factory managers, we gained a dual perspective—combining long-term vision with operational reality—on how the future of manufacturing is being shaped.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:42:22.711+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bb3fbfeb-4df0-4ae4-b8f6-2fa950d7a889", "parentComponentId": null }, { "bbox": { "h": 0.044, "w": 0.283, "x": 0.111, "y": 0.118 }, "kind": "title", "text": "About the Research", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:42:22.711+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3917dc71-d2d7-46f0-8f17-f0b34796cc45", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? 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All rights reserved. Accenture and its logo are registered trademarks of Accenture.\nThis content is provided for general information purposes and is not intended to be used in place of consultation with our professional advisors. This document refers to marks owned by third parties. All such third-party marks are the property of their respective owners. No sponsorship, endorsement or approval of this content by the owners of such marks is intended, expressed or implied.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:42:25.615+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ab8dd0c0-c38f-4311-a28d-d41181ec7edd", "parentComponentId": null }, { "bbox": { "h": 0.55, "w": 0.6, "x": 0.11, "y": 0.26 }, "kind": "list", "text": "By 2040, Industry 5.0 will mark the new phase in which Digital Manufacturing is progressing toward autonomous operations based on the foundation of contextualized end-to-end information, simulation, AI optimization and GenAI.\nBy 2040, our company will have replaced all worker-operated material handling equipment by Automated Guided Vehicles (AGVs), enabling intelligent and autonomously operated inbound-logistics.\nBy 2040, our company will leverage industrial robots and autonomous mobile robots (AMRs) grouped in intelligent and smart robot shops which will handle the majority of our manufacturing processes autonomously.\nBy 2040, our workforce will work in digitally Connected Crews which seamlessly collaborate between different functions in the industrial metaverse.\nBy 2040, GenAI will see large-scale adoption in our company's factories, enabling self-learning machines, intelligent human-machine interactions, and real-time optimization of operational efficiency and workforce utilization.\nBy 2040, our company will have implemented the Digital Operations Twin to integrate virtual and physical manufacturing and merging product, process, and real-time data to provide actionable insights.\nBy 2040, smart and connected Manufacturing Cells will have replaced the majority in linear manufacturing processes, enabling industrialized production of hyper-customized products in a highly flexible and efficient manner.\nBy 2040, our company's warehouses will be fully automated and digitized Dark Warehouses, synchronized with our manufacturing processes in real-time and seamlessly integrated into our factories.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:42:25.615+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7a835bdc-f39f-4038-ae9f-0f70ff4b766f", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.78, "x": 0.11, "y": 0.11 }, "kind": "title", "text": "Full hypotheses formulation of Figure 2 (rated on a scale from 1 to 10):", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:42:25.615+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e566ae58-592d-4f6f-ba7a-557c232a5cb6", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 27, "type": "setup", "function": "other", "rawType": "appendix_disclosure", "block": null, "metadata": { "slideType": "appendix_disclosure", "slideTypeCanon": { "name": "Appendix disclosure", "slug": "appendix_disclosure", "status": "active", "canonId": "019de52d-07b2-7549-8e8b-932a19f6e616", "version": 1, "description": null }, "function": "other", "functionCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce", "version": 1, "description": null }, "density": "dense", "densityScore": 53, "componentCount": 4, "textChars": 2372, "nDataPoints": 3, "notes": null, "elementsJson": [ "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "at": "2026-07-17 03:21:39.246+00", "seconds": 3.019, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5de0-76bd-a167-bdd95398840a/27", "deck": "/decks/019dd923-5de0-76bd-a167-bdd95398840a", "deckAnchor": "/decks/019dd923-5de0-76bd-a167-bdd95398840a#slide-27", "deckJson": "/decks/019dd923-5de0-76bd-a167-bdd95398840a.json" }, "components": [ { "bbox": { "h": 0.095, "w": 0.778, "x": 0.111, "y": 0.835 }, "kind": "disclaimer", "text": "Copyright © 2025 Accenture. All rights reserved. Accenture and its logo are registered trademarks of Accenture.\nThis content is provided for general information purposes and is not intended to be used in place of consultation with our professional advisors. This document refers to marks owned by third parties. All such third-party marks are the property of their respective owners. No sponsorship, endorsement or approval of this content by the owners of such marks is intended, expressed or implied.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": "disclaimer", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-17 03:21:39.246+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0313a7b6-2bf9-4959-9ebb-10e6e4bb1092", "parentComponentId": null }, { "bbox": { "h": 0.485, "w": 0.375, "x": 0.111, "y": 0.318 }, "kind": "paragraph", "text": "About Accenture\nAccenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 799,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.\n\nVisit us at www.accenture.com", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-17 03:21:39.246+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6a1e7578-f2a1-43d8-8a32-f9195a7f39e7", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.375, "x": 0.488, "y": 0.318 }, "kind": "paragraph", "text": "About Accenture Research\nAccenture Research shapes trends and creates data-driven insights about the most pressing issues global organisations face. Combining the power of innovative research techniques with a deep understanding of our clients' industries, our team of 300 researchers and analysts spans 20 countries and publishes hundreds of reports, articles and points of view every year. Our thought-provoking research—supported by proprietary data and partnerships with leading organisations such as MIT and Harvard—guides our innovations and allows us to transform theories and fresh ideas into real-world solutions for our clients.\n\nVisit us at www.accenture.com/research", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-17 03:21:39.246+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b4ec0497-2972-428c-9b50-b81235697598", "parentComponentId": null }, { "bbox": { "h": 0.035, "w": 0.085, "x": 0.111, "y": 0.215 }, "kind": "title", "text": "About us", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-17 03:21:39.246+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "648bcdbb-364d-4d2c-a535-01cc777c5dd4", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true } ], "arcBeats": [ { "from": 4, "to": 7, "label": "Situation & Context", "description": "Today's opportunity, 552-mgr survey, 2040 vision, four enablers" }, { "from": 8, "to": 18, "label": "Problem & Complication", "description": "Four 'WHAT'S NEEDED NOW' problem statements with priorities-vs-limitations data" }, { "from": 19, "to": 21, "label": "Solution & Approach", "description": "DfM guidelines, ecosystem view, three next steps" }, { "from": 22, "to": 22, "label": "Evidence & Proof", "description": "Renault case: -40% production time, -20% energy, EUR300M savings" }, { "from": 23, "to": 23, "label": "Impact & Next Steps", "description": "Conclusion: 'design this future-or be forced to adapt to it'" } ], "loops": [ { "from": 5, "to": 7, "label": "Time Machine", "description": "Fast-forward to 2040 hyper-automated factory and back to today's four enablers" }, { "from": 8, "to": 11, "label": "Tale Two Worlds", "description": "Workforce: today's gaps vs 2040 skill profile" }, { "from": 12, "to": 14, "label": "Maturity Curve", "description": "Position automation maturity from traditional to hyper-automated greenfield" }, { "from": 15, "to": 17, "label": "Tale Two Worlds", "description": "AI: from assistance to autonomy - current limits vs autonomous future" }, { "from": 18, "to": 20, "label": "Quick Win Big Bet", "description": "Digitalization: prioritize foundational digital core, then ecosystem" }, { "from": 21, "to": 22, "label": "Before After", "description": "Three-step approach + Renault proof of measurable delta" } ] }