Why Documentation Matters
The EU AI Act places significant emphasis on documentation and record-keeping, particularly for high-risk AI systems. Article 11 requires comprehensive technical documentation, Article 12 mandates automatic logging, and Article 18 requires quality management system documentation. Having the right templates and frameworks in place from the start is essential for efficient compliance.
Key Documentation Areas
- AI System Inventory: Comprehensive register of all AI systems with classification, purpose, and risk assessment
- Risk Management Framework: Structured approach to identifying, assessing, and mitigating AI-related risks (Article 9)
- Technical Documentation: System description, design specifications, development methodology, and testing results (Article 11)
- Data Governance Policy: Data quality standards, collection procedures, bias assessment, and representativeness criteria (Article 10)
- Human Oversight Procedures: Protocols for human oversight of AI system operations (Article 14)
- Fundamental Rights Impact Assessment: Assessment of impact on fundamental rights for public-sector deployers (Article 27)
- Incident Response Plan: Procedures for reporting serious incidents and taking corrective action
Compliance Tips
Start documentation early — retroactive documentation is significantly more difficult and costly. Align your AI Act documentation with existing ISO 42001 (AI Management System) frameworks where possible. Consult with a verified AI Act compliance professional to ensure your documentation meets the specific requirements for your risk category and industry.