The European Union's comprehensive regulation on artificial intelligence, establishing risk-based rules for AI systems including transparency, human oversight, and documentation requirements.
The EU AI Act classifies AI systems by risk level: unacceptable (banned), high-risk (strict requirements), limited risk (transparency obligations), and minimal risk (no requirements). Most AI agents fall into the limited or high-risk categories depending on their use case.
For AI agents, the Act requires transparency (users must know they are talking to AI), human oversight (ability to override agent decisions), documentation (technical documentation of how the system works), and risk management (ongoing assessment of risks).
The Act takes effect gradually through 2025-2027. Organizations deploying AI agents in the EU need to prepare now.
The EU AI Act is the world's first comprehensive AI regulation. Non-compliance means fines up to 35M euros or 7% of global revenue. Other jurisdictions are likely to follow with similar regulation.
Clawctl supports EU AI Act compliance with transparency features (AI disclosure), human oversight (approval workflows), documentation (audit trails), and risk management (guardrails and monitoring).
Try Clawctl — 60 Second DeployGradually from 2025-2027. Prohibited practices banned from February 2025. High-risk requirements from August 2026.
Most chatbot-style agents are "limited risk" (transparency required). Agents making consequential decisions may be "high-risk."
Yes, if you deploy AI systems that affect EU residents — similar to how GDPR applies extraterritorially.
AI Compliance
Meeting regulatory and organizational requirements for deploying AI agents in production — including audit trails, data handling, and accountability.
AI Governance
The framework of policies, processes, and controls that govern how AI agents are deployed, monitored, and managed in an organization.
Responsible AI
The practice of deploying AI agents with intentional safeguards for fairness, transparency, accountability, and safety.
AI Transparency
The requirement to disclose when users are interacting with an AI agent rather than a human, and to make the agent's decision-making process observable.