Checklist · 8 min read

EU AI Act Checklist: 38 Controls for 2026

A practical, deployer-focused checklist for the EU AI Act. Use it as the starting point for your internal control library, then automate evidence collection with Awan Agent.

1. Risk classification

  • Classify each AI system: prohibited, high-risk, limited-risk or minimal-risk.
  • Document the intended purpose and context of use for every model.
  • Maintain a written risk justification reviewed at least annually.

2. Data governance

  • Training, validation and test datasets are relevant, representative and bias-checked.
  • Personal data is processed under a valid GDPR lawful basis.
  • Data sources, lineage and known limitations are documented.

3. Transparency & disclosure

  • Users are informed when they are interacting with an AI system.
  • AI-generated content is labelled where required (e.g. deepfakes).
  • Model cards include capabilities, limitations and performance metrics.

4. Human oversight

  • Designated human operators can interpret system output and override decisions.
  • Operators receive training on the system's behaviour and known failure modes.
  • Stop-and-rollback procedures are documented and tested.

5. Post-market monitoring

  • Logging of inputs, outputs and incidents is enabled and retained.
  • Serious incidents reported to the relevant authority within 15 days.
  • Quarterly review of metrics, drift and user complaints.