{ "docId": "019dd923-5e88-73ef-bd5c-e6203375b9a4", "docSlug": "0e6082363a0c9cb1", "documentTitle": "2025 Six Insights for AI ROI", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 6, "pageCount": 27, "prevPage": 5, "nextPage": 7, "slideType": "key_messages", "function": "summarize", "density": "dense", "nDataPoints": 4, "notes": "The slide uses a three-column text layout to explain the transition from human-dependent labor to agentic AI-driven workflows.", "elementsJson": [ "headline_text", "paragraph" ], "metadataConfidence": 1, "imagePath": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5c-e6203375b9a4/6", "deckHref": "/decks/019dd923-5e88-73ef-bd5c-e6203375b9a4", "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5c-e6203375b9a4.json", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-e6203375b9a4#slide-6", "components": [ { "bbox": null, "kind": "callout", "text": "By 2030, winners will have fully embraced the first generation of agentic solutions. Beyond, leaders will be on the path to become “agentic enterprises” where digital labor autonomously plans, acts and coordinates across functions.", "attrs": null, "subkind": null, "toolName": "Visual emphasis", "toolSlug": "visual-emphasis", "confidence": null, "componentId": "019dd952-41ab-72d9-bbb0-b7261b59879f", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.6, "w": 0.3, "x": 0.04, "y": 0.28 }, "kind": "paragraph", "text": "Since the 1950s, the service-based economy has been dependent on thoughtfulness and creativity, making human labor the main constraint to economic value creation. Today, this constraint is changing. By making possible the “conversion” of capital into digital labor, agentic AI enables companies to build “agentic workforces.” A single human assisted by AI agents can now do the job of ten workers with a cognitive leap (human augmentation), and autonomous multi-agent systems can entirely replace human labor at certain tasks (human substitution). These new “agentic workforces” can bring companies major competitive advantages both externally (e.g., new business models, new products and services, innovation capabilities, new customer engagement) and internally (e.g., increased efficiency, effectiveness, speed to value in core processes). One example is a major airline company that developed, in partnership with Accenture, an agentic travel companion for its customers. This agentic solution can handle more than 40% of all digital queries and bookings for 300,000+ monthly customers.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "b505f904-d007-4b66-94ef-b29506ea9f8a", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.6, "w": 0.3, "x": 0.66, "y": 0.28 }, "kind": "paragraph", "text": "By 2030, winners will have fully embraced the first generation of agentic solutions. Beyond, leaders will be on the path to become “agentic enterprises” where digital labor autonomously plans, acts and coordinates across functions and where humans remain for tasks AI agents cannot fulfill (see Figure 2). Rapid progress in physical AI (machines/robots embedded with autonomous multi-agent systems) will consolidate this dynamic. Businesses that fail to adopt agentic AI today risk being structurally outcompeted by those that do.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "db50ba29-787e-4e27-b934-aee3103d4bf0", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.6, "w": 0.3, "x": 0.35, "y": 0.28 }, "kind": "paragraph", "text": "Another example is a US healthcare insurance company which sought to improve its document processing workflows highly dependent on unstructured data. Traditional machine learning models could classify documents but struggled with extracting information. AI agents were able to reduce processing time per document by 90%, triple daily document volume and send only 2.7% of documents to employees for manual intervention compared to 90% previously. This is just the beginning. In the next few years, leaders will reshape value chains across multiple sectors and demonstrate the superiority of agentic businesses and operating models. Initially, Accenture expects to see competitive advantages coming from the radical transformation of companies’ cost base, with the most mature agentic systems developing in middle and back-office domains such as Legal, Finance, HR, Supply Chain, Marketing.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "fed6273e-4564-4633-9244-6748f78f9596", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.08, "w": 0.92, "x": 0.04, "y": 0.16 }, "kind": "title", "text": "Agentic workforces will reshape all industries—Agentic AI is the entry point to cyber-physical agentic enterprises in business.", "attrs": null, "subkind": "action-title", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "d70ad05f-38f9-4025-b1b0-9ff8eed928a5", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.06, "w": 0.04, "x": 0.04, "y": 0.08 }, "kind": "title", "text": "#2", "attrs": null, "subkind": "headline", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "661736ee-99cd-43c1-96fa-b19817699a73", "frameworkName": null, "frameworkSlug": null } ], "metrics": [], "tools": [ { "name": "Before-After-Bridge", "slug": "before-after-bridge", "agent": "Storyteller", "layer": "block", "matchId": "019de0a0-7412-7549-944d-35fe382a8149", "evidence": "Sets human-centric -> agentic -> cyber-physical bridge.", "confidence": 70 }, { "name": "Causal Chain", "slug": "causal-chain", "agent": "Architect", "layer": "loop", "matchId": "019de0a0-73ee-7079-9f8f-4bf2d1be9822", "evidence": "Loop builds time progression toward cyber-physical agentic enterprises.", "confidence": 70 }, { "name": "Action Titles", "slug": "action-titles", "agent": "Architect", "layer": "slide", "matchId": "019de0a0-73c9-72b0-9094-db4b3a5cd447", "evidence": "Title declares 'Agentic workforces will reshape all industries.'", "confidence": 88 } ], "frameworks": [], "arcBeats": [ { "to": 8, "from": 6, "beatId": "019de0a0-6fa1-768d-abf4-33a21db1f8ed", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Problem & Complication", "beatSlug": null, "evidence": "Insights #2-#3 raise stakes: industries reshaping, ambition not bold enough.", "position": 2, "confidence": 88, "parentBeatName": null, "parentBeatSlug": null }, { "to": 7, "from": 4, "beatId": "019de0a0-7058-74bc-b107-1df65eef93f2", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": null, "evidence": "Insights #1-#2 state economic paradigm and workforce shift.", "position": 1, "confidence": 55, "parentBeatName": null, "parentBeatSlug": null } ], "loops": [ { "to": 7, "from": 6, "name": "Maturity Curve", "slug": "36-maturity-curve", "bestFor": "Digital transformation, capability building, benchmarking", "matchId": "019de0a0-70eb-743d-bd72-7da1b2941ddd", "evidence": "Figure 2 explicitly stages 2010s -> 2025 -> 2030s with rising efficiency/effectiveness/competitiveness bars.", "position": 2, "objective": "Show the three-stage journey to the agentic enterprise", "structure": "Current Maturity Level -> The Gap to Next Level -> Required Capabilities -> The Roadmap", "confidence": 88, "description": "Show where you are on a progression and what it takes to reach the next level" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }