Framework
AI Maturity Model Framework
This framework defines a domain-specific maturity instrument for an organization's AI governance and security. It gives the AI Governance Council the backing instrument for the "AI maturity KPI" recorded in its charter, and it provides the AI-domain view of programme maturity that feeds the organization's governance performance reporting.
- Type
- Framework
- Version
- 0.0.3
- 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 risk, framework, or regulatory change
- Licence
- CC BY-SA 4.0
Read the full text on GitHub (opens in a new tab)
Outline
- 1. Purpose
- 2. Scope
- 3. Governance and accountability
- 4. The maturity ladder
- 5. Assessment domains
- 6. Scoring and aggregation
- 7. The maturity scorecard
- 8. Framework alignment
- 9. Limitations
Frameworks it maps to
- OWASP AI Maturity Assessment (AIMA) v1.0
- CMU SEI AI Adoption Maturity Model v1.0
- ISO/IEC 42001:2023
- NIST AI RMF 1.0 (2023)
Related documents
- AI Governance Council Charterai
- AI Governance and Risk Frameworkai
- Maturity Assessment Methodology Standardgovernance
- Governance Performance and Improvement Frameworkgovernance
- AI Security and Risk Standardai
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