{ "docId": "019dd923-5e88-73ef-bd58-45ee3d7c1969", "docSlug": "a22c365fb8b31ee6", "documentTitle": "Accenture Tech Vision 2025", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 24, "pageCount": 67, "prevPage": 23, "nextPage": 25, "slideType": "key_messages", "function": "establish_context", "density": "balanced", "nDataPoints": 0, "notes": "Part of a larger report 'Technology Vision 2025'. The slide uses a strong visual contrast and narrative-heavy layout.", "elementsJson": [ "photo", "headline_text", "paragraph" ], "metadataConfidence": 0.95, "imagePath": null, "slideHref": "/slides/019dd923-5e88-73ef-bd58-45ee3d7c1969/24", "deckHref": "/decks/019dd923-5e88-73ef-bd58-45ee3d7c1969", "deckJsonHref": "/decks/019dd923-5e88-73ef-bd58-45ee3d7c1969.json", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd58-45ee3d7c1969#slide-24", "components": [ { "bbox": null, "kind": "callout", "text": "All algorithm and no soul makes the enterprise a dull experience.", "attrs": null, "subkind": null, "toolName": "Visual emphasis", "toolSlug": "visual-emphasis", "confidence": null, "componentId": "019dd952-0a6b-775b-a1df-90fc30f34a06", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.875, "w": 0.339, "x": 0.046, "y": 0.082 }, "kind": "image", "text": null, "attrs": null, "subkind": "illustration", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "a2f29c64-3d07-4ca9-b8dd-bd1f4eaf51a7", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.875, "w": 0.447, "x": 0.507, "y": 0.381 }, "kind": "paragraph", "text": "All algorithm and no soul makes the enterprise a dull experience. Dull for customers, that is. Across industries, businesses are finding ways to implement generative AI. They're looking for operational efficiencies, ways to automate tasks, and ways to scale impact. Many see customer-focused roles as a natural fit. They're reinventing the face of the business, using generative AI for customer service or ad material generation and integrating chatbot interfaces into products. But if they're not careful, every business is about to wind up with the same face. Effectively, enterprises are imbuing the customer experience with autonomy. Agents, bots, and technology systems can drive sales, solve problems, set meetings and do much more for customers. But the foundation models driving many of these experiences are built by the same few organizations and are designed—intentionally—to be as neutral-sounding as possible. It's a simple insight, perhaps inconsequential at first glance. But enterprises are creating the customer interface that will define their next decade—and how they design it has profound, far-reaching implications. Businesses are teetering on the edge of a customer engagement crisis. It's one that started growing during the digital era. When new digital channels started emerging, and customer touchpoints shifted to platforms and search engines, businesses could connect to more customers than ever, but direct conversation with them became muted, and differentiation became more challenging. Now, in the AI era, this engagement crisis is at risk of being compounded. AI models and the growing autonomy of digital systems can generate massive opportunity, the chance to have one-on-one conversations at unprecedented scale. But if these models are fine-tuned for function, and not experience, they'll sound generic or bland and leave all that potential unrealized. This won't just be a problem on the enterprises' channels either. Looking towards the future, it becomes even sharper as generative AI-based chat platforms position themselves as the primary window to the digital world. When a third-party agent invites your companies' agents into a conversation with a customer, what will it sound like? 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