How to Make Your AI Agent EU AI Act Compliant: A Practical Guide

Description and use

Step‑by‑step guide to implementing audit trails for AI agents with ZizkaDB, ensuring compliance with the EU AI Act, covering event logging, evidence of control, and post‑market monitoring.

Problem

AI agents lack a clear compliance framework for the EU AI Act, especially for logging, human oversight, and post‑market monitoring.

Outcome

Agents equipped with ZizkaDB provide tamper‑evident, causal audit trails that satisfy EU AI Act Article 12, enabling demonstrable risk management, human oversight, and post‑market monitoring.

Workflow

• 1. Identify the agent’s risk tier (prohibited, high‑risk, limited‑risk, minimal‑risk).
• 2. Map EU AI Act articles to evidence requirements (risk register, data governance, technical docs, record‑keeping, human oversight, post‑market monitoring).
• 3. Prepare static documentation: risk register, data governance records, technical documentation, quality management process.
• 4. Design the runtime record‑keeping layer: capture agent identity, inputs, planning steps, tool calls, outputs, human interventions, and configuration changes. Ensure tamper‑evidence, retention, and privacy.
• 5. Deploy ZizkaDB: install via Docker or clone, configure Postgres, set credentials.
• 6. Instrument the agent with ZizkaDB SDK or native framework packages (Python, TypeScript, LangChain, CrewAI, LiveKit, MCP).
• 7. Log each event with causal links (parent_id).
• 8. Use db.why() or dashboard to trace decisions back to root causes.
• 9. Maintain logs for at least six months (or sector‑specific duration).
• 10. Periodically review logs for post‑market monitoring and incident reporting.

Evidence

ZizkaDB is an open‑source, self‑hosted audit trail database for AI agents.

Source

Article 12 requires high‑risk systems to technically allow automatic recording of events over the system's lifetime.

Source

The logs must help identify situations that may create risk or involve a substantial modification, support post‑market monitoring, and support the deployer's monitoring of operation.

Source