Many organizations are using AI. Few have governed it.
Policies are drafted but not enforced. Risk classifications exist in spreadsheets but not in practice. Accountability is assumed until something goes wrong.
The EU AI Act enforcement deadline of August 2, 2026, is not a future problem. For organizations with high-risk AI systems, baseline compliance obligations are now in effect. And compliance is only one dimension of trustworthy AI.
This assessment tells you where the gaps are before an auditor, a regulator, or an incident does.
Your personalized results include four deliverables
Overall Maturity Level
Mapped to the five-level Trustworthy AI Governance Maturity Model, from Ad Hoc (Level 1) to Optimized (Level 5).
Pillar-by-Pillar Score
Scored across all Trustworthy AI Five Pillars: AI Governance, Transparent AI, Ethical AI, Responsible AI, and AI Risk Management.
Governance Gap Analysis
Identifies which pillars are holding your program back and why.
Targeted Recommendations
Specific next steps and resources matched to your maturity level and highest-priority gaps.
Three steps.
Under 10 minutes.
25 diagnostic questions
Use this space to describe your categories and why they’re important. Your prospects should want to know how they score!
Get your scored results instantly
Your maturity level, pillar scores, and gap analysis are generated automatically and delivered on screen the moment you submit.
Take action with a clear roadmap
Your results include specific recommendations and direct pathways to the tools, training, and support that match where you are today.
Scored across the
Five Pillars of Trustworthy AI
Every question, every score, and every recommendation in this assessment is organized around the Five Pillars of Trustworthy AI.
AI Governance
Policy, oversight bodies, roles, and accountability structures. The structural foundation without which nothing else holds.
Transparent AI
System inventory, model cards, explainability, audit trails, and transparency reporting. You cannot govern what you cannot see.
Ethical AI
Bias testing, fairness criteria, ethics review, and ethics by design. Where governance meets organizational values.
Responsible AI
Human-in-the-loop controls, accountability, RACI, incident response, and third-party audits. Someone must be responsible when things go wrong.
AI Risk Management
Risk classification, risk registers, post-deployment monitoring, and escalation paths. Risk management transforms governance from policy into operations.
Five levels. One honest benchmark.
Your overall maturity level is determined by your lowest pillar score, not your average. Governance is only as strong as its weakest dimension.
The weakest-link principle: your overall level is your lowest pillar score, not your average. You can have a world-class risk management program and a Level 1 ethics posture, and you are a Level 1 organization.
Level 1: Ad Hoc
No formal governance. Non-compliant with EU AI Act baseline obligations. Immediate action is required.
Level 2: Developing
Basic awareness. Governance is inconsistent and undocumented. Policy work must begin now.
Level 3: Defined
Baseline compliance. Documented governance aligned to the EU AI Act and NIST AI RMF.
Level 4: Managed
Metrics-driven governance. Ready for third-party audit and ISO/IEC 42001 certification.
Level 5: Optimized
Governance as a competitive advantage. Board-level oversight. Industry leadership positioning.
Know where your AI program stands in under 10 minutes
Free assessment. Instant results. No technical background required.Your pillar-by-pillar maturity score and personalized recommendations are waiting.
Enroll in Practical AI Governance Through Trustworthy AI course
