Organizations can have AI policies, committees, assessments, and controls, yet still lack a cohesive view of whether governance operates consistently across the enterprise. Without evidence-based scoring, isolated activity can be mistaken for mature capability while urgent exposure remains unresolved.
This maturity assessment helps measure demonstrated capability, set a defensible target, and prioritize the governance gaps that matter most.
What's in the guide:- Maturity scorecards covering governance and oversight, risk management, compliance, and controls management.
- How to convert the assessment results into a prioritized improvement roadmap based on regulatory urgency and organizational exposure.
Download the AI governance maturity assessment below. This guide is part 1 of 5 in a comprehensive toolkit outlining AI governance in five connected steps.