Only 6% of organizations are fully prepared for AI governance requirements (KPMG). EU AI Act full enforcement August 2026. Fines up to 35M EUR. Score your maturity in 5 minutes.
Start Assessment FreeThe EU regulation classifying AI systems by risk level. HR/employment AI is high-risk under Annex III. Full enforcement August 2, 2026. Penalties: up to 35M EUR or 7% global turnover.
The first international standard for AI management systems. Provides requirements for establishing, implementing, and maintaining AI governance. Certifications grew 340% in the first year after publication.
The US National Institute of Standards and Technology AI Risk Management Framework. Four core functions: Govern, Map, Measure, Manage. Widely adopted as a complementary framework to the EU AI Act.
I've analyzed the results and summarized the key themes — with actionable recommendations for your team.
An AI governance maturity assessment evaluates how well your organization manages AI systems across five dimensions: policy and strategy, oversight and accountability, risk management, regulatory compliance, and ethics and transparency.
Only 6% of EU organizations consider themselves fully prepared for AI governance requirements (KPMG). 72% have not conducted a formal AI risk assessment (MIT Sloan/BCG). Yet the EU AI Act enters full enforcement on August 2, 2026, with fines up to 35 million EUR or 7% of global annual turnover.
Our assessment maps 15 questions to three industry frameworks: NIST AI Risk Management Framework, ISO/IEC 42001 (the first certifiable AI management system standard), and EU AI Act requirements. Organizations with mature AI governance are 2.1x more likely to achieve positive ROI from AI investments (McKinsey).
For the full compliance picture, see our GDPR & EU AI Act Compliance Checklist.
Take the test now for freeFull enforcement begins August 2, 2026. High-risk AI in HR requires conformity assessments, risk management systems, and human oversight. Our assessment identifies your compliance gaps before regulators do. Fines: up to 35M EUR or 7% of global turnover. See our GDPR & EU AI Act Compliance Checklist for the full 15-point checklist.
Organizations with mature AI governance are 2.1x more likely to achieve positive ROI from AI investments (McKinsey). Governance is not just compliance cost. It is a business advantage.
52% of German works councils are uninformed about AI tools. Our assessment includes governance dimensions required for BetrVG Paragraph 87 compliance, helping you prepare for works council discussions proactively.
ISO 42001 certifications grew 340% in the first year. Our assessment maps to ISO 42001 requirements, giving you a gap analysis for certification readiness.
Each question maps to specific requirements from NIST AI RMF, ISO 42001, and EU AI Act. Rated on a 5-point maturity scale.
Our organization has a formally documented and approved AI governance policy.
Maps to ISO 42001 Clause 5 and NIST GOVERN. A documented policy is the foundation of all governance.
We have a clearly defined AI strategy that aligns AI initiatives with business objectives and regulatory requirements.
Strategy without governance compliance fails. Governance without business strategy is waste.
Roles and responsibilities for AI governance are formally assigned and resourced.
Maps to EU AI Act Art. 14 (human oversight). Without dedicated roles, governance is nobody's job.
We have a cross-functional AI oversight body that reviews AI use cases before deployment.
Maps to NIST GOVERN-1 and ISO 42001 Clause 9. Pre-deployment review prevents compliance violations.
Every AI system has a designated human accountable for its outcomes.
EU AI Act Art. 14 requires human oversight. Without accountability, incidents have no owner.
We maintain a complete inventory of all AI systems used across the organization.
You cannot govern what you cannot see. An AI system register is prerequisite for all compliance.
We conduct systematic risk assessments for all AI systems, classifying them by risk level.
Maps to EU AI Act Art. 9. Risk classification (minimal/limited/high/unacceptable) is mandatory.
We have processes to identify and mitigate AI-specific risks (bias, drift, hallucination).
AI risks differ from traditional IT risks. Bias and drift require continuous monitoring.
Third-party and vendor AI systems undergo the same governance scrutiny as internal AI.
Vendor AI creates the same risk as internal AI. Supply chain governance is often the weakest link.
We have mapped our AI systems against EU AI Act high-risk categories (Annex III).
Annex III mapping is step one of EU AI Act compliance. HR/employment AI is explicitly listed.
We maintain technical documentation that would satisfy regulatory audit requirements.
EU AI Act Art. 11 and Annex IV specify documentation requirements. Most organizations have gaps.
We have a defined process for reporting serious AI incidents to authorities.
Incident reporting is mandatory under EU AI Act. Having a tested process before an incident is critical.
Individuals affected by AI decisions are informed and can request human review.
Maps to EU AI Act Art. 13 (transparency) and GDPR Art. 22 (automated decisions).
We conduct fairness and bias audits on AI systems that affect people.
EU AI Act Art. 15 requires accuracy and robustness testing including bias monitoring.
Employees receive regular training on responsible AI use and governance expectations.
Training is the most effective governance enforcement mechanism. Without it, policies are paper.
Rate your organization on a 5-point maturity scale across policy, oversight, risk, compliance, and ethics dimensions.
AI generates a maturity score per dimension: Initial (ad hoc), Developing, Established, Advanced, or Leading. Mapped to NIST AI RMF, ISO 42001, and EU AI Act.
Get specific recommendations per dimension with regulatory references. Know exactly which EU AI Act articles you need to address before August 2026.
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