AI Act • AI Governance • Risk Management

AI Act Compliance Checker

Use this free checker to turn your AI use case into a practical readiness snapshot with risk flags, deadlines and next steps.

Last updated4 May 2026
Update workflowWeekly monitoring, monthly edits
MethodOfficial sources + practical governance controls
After your checkup

Turn the result into a written AI action plan

Use the policy generator, risk assessment template and AI inventory checklist to document the controls your team needs next.

Free tool

AI Compliance Checkup

Answer a few questions to get a practical readiness snapshot. The result is a starting point, not legal advice.

Controls you already have

How the checker works

The checker asks about your market, role, use case, GPAI exposure, and existing controls. It then produces a practical readiness profile. It does not decide legal classification, but it helps you find the questions that matter before you speak with counsel or implement controls.

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What your result means

  • Potentially prohibited: stop and get specialist review before continuing.
  • High-risk candidate: prepare a formal assessment, documentation, human oversight, monitoring, and governance evidence.
  • Transparency-risk: plan user notices, chatbot labels, AI-generated content labels, and human escalation.
  • GPAI exposure: confirm whether you provide a GPAI model or rely on a third-party model and collect vendor documentation.
  • Lower-risk/internal use: still maintain policy, training, security, privacy, and monitoring basics.

What to do after the checkup

Export or copy the result, assign an owner, attach supporting documents, and schedule a review. The most common mistake is treating AI compliance as a one-off questionnaire. A better approach is a living register: each AI system has an owner, purpose, data description, risk classification, controls, vendor documents, and a next-review date.

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FAQ

Can the checker tell me whether I am compliant?

No. It gives a readiness snapshot and highlights issues to investigate. Compliance depends on your exact facts, legal role, market, sector, and system design.

Can a deployer have obligations?

Yes. Deployers should consider transparency, human oversight, monitoring, training, documentation, vendor management, and sector-specific duties.

What if I only use ChatGPT or other third-party tools?

You should still define acceptable use, data restrictions, review sensitive outputs, and keep records of approved tools and use cases.

Sources and review method

This page is written as general business guidance, not legal advice. It is maintained from official AI Act materials, European Commission / AI Office updates, the NIST AI Risk Management Framework and practical AI governance controls.

Reviewed byAI Compliance Checkup Editorial Team
Review methodOfficial AI Act, European Commission, EUR-Lex and NIST sources
Last reviewed4 May 2026
Contactcontact@aicompliancecheckup.com