GRCLibrary.ai

Framework

AI Value and Decision-Governance Framework

This framework treats the value an organization pursues from AI, and the quality of the decisions by which it pursues it, as governance evidence. Where ai/framework-ai-governance-and-risk.md governs accountability, lifecycle, and risk, and ai/framework-ai-maturity-model.md assesses process-and-capability maturity against the corpus's CMMI ladder, this framework governs the value and decision axis: whether an AI initiative's intended value is stated and tracked, whether the decision to pursue it was made with the evidence a governing body would expect, and whether the realized benefits are classified honestly. These are governance constructs (signals and evidence a reviewer can inspect), not normative external requirements.

Type
Framework
Version
0.0.8
Date
2026-10-27
Owner
AI Governance Approver
Approving authority
Governance Library Maintainer
Classification
Public
Confidentiality
Public
Category
AI Governance
Review frequency
6 to 12 months and upon material AI governance or regulatory change
Licence
CC BY-SA 4.0

Read the full text on GitHub (opens in a new tab)

Outline

  • Purpose
  • Scope
  • The value-maturity ladder
  • Idea-stage AI use-case decision record
  • Workflow embedding and adoption tracking
  • Benefits taxonomy: green and brown dollars, and disbenefits
  • Framework alignment
  • Limitations

Frameworks it maps to

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