Dataset entry

AI Value Comes From Workflow Redesign and Governance, Not Tools Alone

ai-business-signals ai_business_signal aibs-008 workflow-redesign governance ebit-impact enterprise-ai change-management
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/

LinkedIn

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/"
    }
  }
}