{ "docId": "019dd923-5e88-73ef-bd5d-ea27547c48b5", "docSlug": "43bb02fcf0f341e9", "documentTitle": "2025 The CEO s Guide to Generative AI", "authorId": "IBM", "authorName": "IBM", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "square", "aspectRatio": 1, "pageNumber": 38, "pageCount": 76, "prevPage": 37, "nextPage": 39, "slideType": "key_takeaways", "function": "summarize", "density": "overcrowded", "nDataPoints": 6, "notes": "The slide is structured as a two-page spread with four distinct columns of text (two 'What you need to know' and two 'What you need to do' sections).", "elementsJson": [ "headline_text", "paragraph", "photo" ], "metadataConfidence": 1, "imagePath": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-ea27547c48b5/38", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5", "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5.json", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-ea27547c48b5#slide-38", "components": [ { "bbox": null, "kind": "callout", "text": "Generative AI converts technology into teammates.", "attrs": null, "subkind": null, "toolName": "Visual emphasis", "toolSlug": "visual-emphasis", "confidence": null, "componentId": "019dd952-5644-756a-a83f-67f3cb6b31b0", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.05, "w": 0.1, "x": 0.04, "y": 0.07 }, "kind": "list", "text": "1. Experimentation\n2. Augmented work\n3. Skills and capabilities", "attrs": null, "subkind": "numbered", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "8b84bebd-74b3-4e68-a593-e9c183aa1d1d", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.5, "w": 0.2, "x": 0.76, "y": 0.25 }, "kind": "paragraph", "text": "Trade control for capability. Tap partners with generative AI expertise to automate processes that aren’t core to your competitive advantage. Develop new internal roles, such as process orchestrators, digital librarians, and experience designers, to improve processes that must be managed in-house. Outsource to scale expertise. Partner with BPO providers to augment internal capabilities, expand possibilities for automation and workflow optimization, and quickly deploy the most advanced AI and automation technologies at pace. Create career paths that don’t exist today. Explore what new roles your organization should add. Employ process orchestrators to manage AI assistants across end-to-end processes. Tap digital librarians to manage prompt libraries, generative AI models, and governance and ethical guidelines. Optimize processes with experience designers. Define a compelling value proposition for process automation in operations and design experiences that deliver the intended benefits and exceed user expectations.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "578bb12e-4627-4c56-9120-dac4efb4a2b8", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.6, "w": 0.2, "x": 0.54, "y": 0.25 }, "kind": "paragraph", "text": "Upskill and outsource to move forward faster. Business leaders know that, when it comes to adopting generative AI, their talent is lacking. While they could fill gaps with training and hiring, that process takes years—and they don’t have that much time. As the race to gen AI pushes organizations to deliver ROI in months—or maybe weeks—executives are looking to turbocharge their efforts with external expertise. Across nearly every process in HR, as well as source to pay, lead to cash, and record to analyze, in finance, most executives plan to work with business process outsourcing (BPO) providers to accelerate their digital transformation with AI. The most likely processes to be outsourced include training in HR, sourcing in source to pay, sales support services in order to cash, and general accounting transactions and processing in record to analyze. However, outsourcing will only get an organization so far. To succeed in the long run, companies must also upskill their in-house talent. As a result, 84% of executives say they’re very likely to invest in new skills and roles for gen AI in HR by 2025, with at least 70% saying the same for record to analyze (76%), lead to cash (73%), and source to pay (71%). This investment will be significant, with executives expecting to allocate 18% more of their skill budgets to gen AI-specific skills in 2025 than they did in 2023.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "a7a21a98-545e-4da5-a32d-82cea1d8db66", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.35, "w": 0.2, "x": 0.04, "y": 0.25 }, "kind": "paragraph", "text": "Generative AI converts technology into teammates. Can a tool become a trusted teammate? Most executives say yes—even if their employees are still unsure. 87% of executives expect gen AI-powered assistants will soon be able to query, validate, and aggregate information reliably for employees, giving them more time to focus on strategic work. And they expect employees to welcome their new co-workers with open arms. Nearly two-thirds (64%) say their people will need to work in tandem with digital teammates to deliver seamless processes by 2025. But our 2024 CEO Study revealed that top leaders are concerned about the human element. In fact, 64% say succeeding with AI will depend more on people’s adoption than the technology itself. And 61% say they’re pushing their organization to adopt generative AI faster than some people are comfortable with.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "c25bc977-c7c5-4db3-8021-f506b822aab0", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.35, "w": 0.2, "x": 0.26, "y": 0.25 }, "kind": "paragraph", "text": "Treat AI assistants like racecars and employees like professional drivers. Provide a roadmap that shows employees where and when they should automate or augment processes with AI assistants. Give them an owner’s manual that explains how to use these powerful machines effectively and responsibly. Reduce drag with streamlined design. Identify the processes that create the greatest frustration for operations teams and find ways to automate them. Reinforce guardrails. Train people to use generative AI responsibly so they aren’t afraid to push the pedal to the metal. Teach gen AI to take the wheel when needed. Implement a self-learning training program for gen AI to improve its performance and accuracy in tasks such as compliance risk assessment, fraud detection, and profitability analysis.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "d854d1a7-15b7-4c7f-bc3b-38a3e7b1e06d", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.02, "w": 0.2, "x": 0.04, "y": 0.05 }, "kind": "title", "text": "Chapter 11: Business process automation for operations", "attrs": null, "subkind": "headline", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "d2a03226-25a5-4290-b41d-4cedc2e85dfc", "frameworkName": null, "frameworkSlug": null } ], "metrics": [], "tools": [ { "name": "List presentation", "slug": "list-presentation", "agent": null, "layer": "slide", "matchId": "5b807757-354d-4bf9-a36c-fe0fde1c6b7c", "evidence": "1. Experimentation\n2. Augmented work\n3. 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