AI Governance Maturity Assessment

A free self-assessment that scores your organization's AI governance maturity, level 0 to 4, across 6 pillars: accountability, transparency, risk, data, lifecycle, and oversight.

FreeNo credit cardResults in 2 minutesUsed by 500+ companies

What This Assessment Measures

Most companies assume they have AI governance because a policy document exists somewhere. This assessment checks whether that policy is actually practiced: whether every AI system has a named owner, whether use cases get tiered by real harm, whether a person can genuinely override a production system, not just in theory.

You will answer 12 short questions across six pillars, two per pillar. Each answer maps to a maturity level from 0 (Ad Hoc) to 4 (Optimizing). Your overall score and a pillar-by-pillar breakdown appear as soon as you finish, along with the specific next step for your weakest areas. No email required.

Find Your AI Governance Maturity Level

12 questions across the six pillars of AI governance. No email required, your score and recommendations appear immediately.

AccountabilityNamed owners for every model and agent in production
TransparencyPeople can find out AI was involved and get a real explanation
Risk ManagementUse cases tiered by harm, not treated as one bucket
Data GovernanceData lineage, access, and consent tracked like any regulated system
Model LifecycleModels reviewed before launch, monitored, retrained, or retired
Human OversightA person can review, override, or stop the system, and that path has actually been tested
4 min•12 questions•6 pillars

Related Reading

AI Governance Framework: A Practical Guide

The six pillars and the 5-level maturity model this assessment scores you against, plus how to implement one without stalling delivery.

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AI Governance Maturity Model: The 5 Levels

A deeper look at what separates Ad Hoc from Optimizing, with the concrete moves that get you from one level to the next.

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Frequently Asked Questions

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