{ "docId": "019dd923-5de0-76bd-a167-b6263dfec84f", "docSlug": "d97350c7b2b6040b", "documentTitle": "The front-runners’ guide to scaling AI Lessons from industry leaders", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 27, "pageCount": 39, "prevPage": 26, "nextPage": 28, "slideType": "key_messages", "function": "present_solution", "density": "dense", "nDataPoints": 5, "notes": "The slide uses a narrative structure to explain the necessity of moving beyond risk mitigation to value creation in responsible AI.", "elementsJson": [ "photo", "paragraph" ], "metadataConfidence": 0.95, "imagePath": null, "slideHref": "/slides/019dd923-5de0-76bd-a167-b6263dfec84f/27", "deckHref": "/decks/019dd923-5de0-76bd-a167-b6263dfec84f", "deckJsonHref": "/decks/019dd923-5de0-76bd-a167-b6263dfec84f.json", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a167-b6263dfec84f#slide-27", "components": [ { "bbox": { "h": 0.024, "w": 0.105, "x": 0.368, "y": 0.14 }, "kind": "callout", "text": "Imperative 4:", "attrs": null, "subkind": "primary", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "b3c17556-1f03-45b0-92f7-bfd30259ddb0", "frameworkName": null, "frameworkSlug": null }, { "bbox": null, "kind": "callout", "text": "Closing the gap on responsible AI involves a shift in mentality—from viewing responsible AI as a compliance-driven obligation to recognizing it as a strategic enabler of business value.", "attrs": null, "subkind": null, "toolName": "Visual emphasis", "toolSlug": "visual-emphasis", "confidence": null, "componentId": "019dd951-a673-77f6-86b6-924e62548830", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.87, "w": 0.336, "x": 0, "y": 0.08 }, "kind": "image", "text": "Person gesturing", "attrs": null, "subkind": "photo", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "54f8dc8a-bf00-4e63-bbd3-694671382dee", "frameworkName": null, "frameworkSlug": null }, { "bbox": null, "kind": "metric", "text": "AI-related revenue growth: 18%", "attrs": null, "subkind": "primary", "toolName": "Quantification", "toolSlug": "quantification", "confidence": null, "componentId": "019dd951-a673-77f6-86b6-957dffa85df9", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.6, "w": 0.58, "x": 0.368, "y": 0.275 }, "kind": "paragraph", "text": "The fourth imperative for scaling strategic bets involves getting responsible AI right. As the number and type of AI risks increased sharply in recent years, AI-driven “incidents” (bias, deepfakes, hallucinations, privacy breaches) have become much more common, increasing 32% in 2023, according to the AI Incident Database, a website that monitors such occurrences. In a recent Accenture report, 74% of surveyed companies temporarily paused at least one AI project in the past year due to concerns about AI risks. Yet getting responsible AI right requires more than simply mitigating reputational risk and checking all the compliance boxes (such as the EU’s AI Act or industry-specific guidelines). It also means using responsible AI initiatives as a catalyst for value creation—to strengthen customers’ trust, improve product quality and bolster the acquisition of talent. Previous research by Accenture, for instance, found that when companies developed highly mature responsible AI capabilities, their AI-related revenues jumped by 18%, on average. Closing the gap on responsible AI thus involves a shift in mentality—from viewing responsible AI as a compliance-driven obligation to recognizing it as a strategic enabler of business value. Given the preponderance of AI-related risks, it’s no surprise that responsible AI is on most companies’ radar. For example, 56% of Fortune 500 companies cited AI as a “risk factor” in their 2024 annual reports, up from just 9% in 2023. In another recent Accenture report, 78% of surveyed companies had established a responsible AI program. Nevertheless, most companies still have a long way to go to close the gap between their responsible AI goals and their progress toward those goals. The same Accenture study, for instance, found that none of the surveyed companies had achieved a highly advanced level of responsible AI maturity—as measured by the extent to which an organization has fully operationalized its responsible AI efforts as a “platform” in order to take a systemic, future-orientated approach that unlocks the full value of AI.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "7109e554-113e-4b5e-8916-940b37c53772", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.032, "w": 0.435, "x": 0.368, "y": 0.185 }, "kind": "title", "text": "Close the gap on responsible AI", "attrs": null, "subkind": "headline", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "fa29bd32-e0c6-40b1-8049-46feaf66c8a8", "frameworkName": null, "frameworkSlug": null } ], "metrics": [ { "metricRaw": "AI-related revenue growth", "numberRaw": "18%", "numberKind": "percent", "actionTitle": "Close the gap on responsible AI", "calloutText": "Closing the gap on responsible AI involves a shift in mentality—from viewing responsible AI as a compliance-driven obligation to recognizing it as a strategic enabler of business value.", "numberScale": null, "numberValue": 18, "metricFamily": "growth_rate", "numberCurrency": null } ], "tools": [ { "name": "Action Titles", "slug": "action-titles", "agent": "Architect", "layer": "slide", "matchId": "019dd95a-0f08-73d3-9880-e1d09ccefb3b", "evidence": "Title is the imperative: 'Close the gap on responsible AI.'", "confidence": 85 }, { "name": "Concrete Language", "slug": "concrete-language", "agent": "Storyteller", "layer": "slide", "matchId": "019dd95a-0f08-73d3-9880-e7577e00acca", "evidence": "'18%' anchor stat on responsible-AI maturity.", "confidence": 75 } ], "frameworks": [], "arcBeats": [ { "to": 32, "from": 21, "beatId": "019dd95a-0682-776c-8e32-fbe0691e6d64", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "Five imperatives, BMW/Allianz cases, summary tables and 'Place your bets' close.", "position": 5, "confidence": 90, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" }, { "to": 32, "from": 22, "beatId": "019dd95a-0682-776c-8e33-075820204499", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Five imperatives with elements + 'Place your bets' call-to-action.", "position": 3, "confidence": 60, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "loops": [ { "to": 31, "from": 22, "name": "Mece Breakdown", "slug": "40-mece-breakdown", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "matchId": "019dd95a-07fe-70ce-8d3a-adf6e23c228e", "evidence": "Five imperatives (Lead with value -> Talent -> Digital core -> Responsible AI -> Continuous reinvention) summarized in Figure 8 table on pp30-31.", "position": 6, "objective": "Walk through five mutually-exclusive imperatives that together cover scaling AI.", "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 }