Dataset entry
AI Value Comes From Workflow Redesign and Governance, Not Tools Alone
Capture the shift from AI experimentation to operating-model rewiring.
License & citation
Creator: Dzmitryi Kharlanau (SAP Lead).
Canonical: https://dkharlanau.github.io/datasets/ai-business-signals/aibs-008.json
License: CC BY-NC 4.0 (non-commercial only, attribution with source link required).
Concept DOI: 10.5281/zenodo.18862098
Version DOI (`v1.0.0`): 10.5281/zenodo.18862097
Repository: https://github.com/dkharlanau/dkharlanau-datasets
Suggested citation: Dzmitryi Kharlanau. “AI Value Comes From Workflow Redesign and Governance, Not Tools Alone” (dataset bytes). CC BY-NC 4.0. DOI: 10.5281/zenodo.18862098. https://dkharlanau.github.io/datasets/ai-business-signals/aibs-008.json
Details: /legal/datasets/
JSON (copy / reuse)
{
"id": "aibs-008",
"title": "AI Value Comes From Workflow Redesign and Governance, Not Tools Alone",
"type": "ai_business_signal",
"theme": "operating-model",
"intent": "Capture the shift from AI experimentation to operating-model rewiring.",
"published_on": "2025-03-12",
"coverage_period": "Survey fielded July 16-31, 2024",
"source": {
"organization": "McKinsey",
"title": "The state of AI: How organizations are rewiring to capture value",
"url": "https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-how-organizations-are-rewiring-to-capture-value",
"publisher_type": "primary",
"methodology": "McKinsey Global Survey on AI; 1,491 participants in 101 nations."
},
"fact": {
"primary_stat": "78% of respondents said their organizations use AI in at least one business function.",
"supporting_stats": [
"71% said their organizations regularly use generative AI in at least one business function.",
"More than 80% said their organizations are not yet seeing tangible enterprise-level EBIT impact from gen AI.",
"Less than one-third reported that their organizations follow most of McKinsey’s listed adoption and scaling practices for gen AI."
]
},
"business_relevance": [
"Enterprise AI maturity is no longer just experimentation; scale is outpacing disciplined operating-model change.",
"Value capture is constrained when adoption practices lag behind tool deployment."
],
"dzmitryi_commentary": "This is probably the most important signal for my focus. In support-heavy SAP landscapes, real AI value does not come from a chatbot bolted onto the side. It comes when triage, knowledge capture, handover, escalation, and prevention loops are redesigned so the model fits the process instead of bypassing it.",
"focus_fit": [
"sap-ams",
"workflow-redesign",
"ai-governance",
"operational-continuity"
],
"tags": [
"workflow-redesign",
"governance",
"ebit-impact",
"enterprise-ai",
"change-management"
],
"meta": {
"schema": "dkharlanau.dataset.byte",
"schema_version": "1.1",
"dataset": "ai-business-signals",
"source_project": "cv-ai",
"source_path": "ai-business-signals/aibs-008.json",
"canonical_url": "https://dkharlanau.github.io/datasets/ai-business-signals/aibs-008.json",
"created_at_utc": "2026-04-13T08:03:03+00:00",
"updated_at_utc": "2026-04-13T08:37:04+00:00",
"creator": {
"name": "Dzmitryi Kharlanau",
"role": "SAP Lead",
"website": "https://dkharlanau.github.io",
"linkedin": "https://www.linkedin.com/in/dkharlanau"
},
"links": {
"website": "https://dkharlanau.github.io",
"linkedin": "https://www.linkedin.com/in/dkharlanau",
"repository": "https://github.com/dkharlanau/dkharlanau-datasets"
},
"contact": {
"preferred": "linkedin",
"linkedin": "https://www.linkedin.com/in/dkharlanau"
},
"provenance": {
"source_type": "chat_export_extraction",
"note": "Extracted and curated by Dzmitryi Kharlanau; enriched for attribution and crawler indexing."
},
"entity_type": "ai_business_signal",
"entity_subtype": "",
"summary": "Capture the shift from AI experimentation to operating-model rewiring.",
"attribution": {
"attribution_required": true,
"preferred_citation": "Dzmitryi Kharlanau. “AI Value Comes From Workflow Redesign and Governance, Not Tools Alone” (dataset bytes). CC BY-NC 4.0. DOI: 10.5281/zenodo.18862098. https://dkharlanau.github.io/datasets/ai-business-signals/aibs-008.json"
},
"doi": {
"concept": "10.5281/zenodo.18862098",
"version": "10.5281/zenodo.18862097",
"repository": "https://github.com/dkharlanau/dkharlanau-datasets"
},
"license": {
"name": "Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)",
"spdx": "CC-BY-NC-4.0",
"url": "https://creativecommons.org/licenses/by-nc/4.0/"
}
}
}