A staged framework that assesses how advanced an organization’s AI governance practices are, from ad-hoc to optimized.
A diagnostic tool that evaluates governance capabilities - policy existence, role definition, tooling, metrics, and continuous improvement - across maturity levels (Initial, Managed, Defined, Quantitatively Managed, Optimizing). It helps organizations benchmark progress, set targets for capability-building, and prioritize investments in governance processes and technologies.
A retail chain uses a five-level maturity model: at level 2 they have basic policies; at level 3 they introduce automated risk-assessments; at level 4 they integrate real-time governance dashboards; and they plan level 5 (continuous optimization) where guardrails adapt automatically to new threats. Quarterly self-assessments guide their roadmap.
