EU AI ACT
EU AI Act Hub
Your practical starting point for understanding, preparing for, and operationalizing EU AI Act readiness.
The EU AI Act introduces a structured approach to artificial intelligence governance, placing new expectations on organizations that develop, deploy, manage, or rely on AI systems. For many businesses, the challenge is not simply understanding the regulation—it is turning compliance requirements into repeatable, auditable, and practical internal processes.
PolicyOS helps organizations move from uncertainty to action by supporting AI inventory management, risk classification, policy alignment, evidence collection, accountability mapping, and ongoing compliance monitoring.
OVERVIEW
Why the EU AI Act matters
For organizations using AI across operations, customer service, HR, finance, healthcare, education, cybersecurity, or decision-making workflows, the EU AI Act creates a need for stronger documentation, better oversight, and clearer governance.
PolicyOS helps teams understand where AI is being used, what risks may exist, who is responsible, and what evidence is required to demonstrate compliance readiness.
KEY AREAS
What organizations need to understand
AI system inventory
A clear record of where AI systems are used, who owns them, what data they process, and what business decisions they support.
Risk classification
Systems may fall into different risk categories depending on purpose, impact, and deployment context—the foundation of compliance planning.
Governance and accountability
Defined responsibilities for AI oversight, documentation, review, approval, monitoring, and incident response.
Transparency and documentation
The ability to explain how AI systems are used, what safeguards exist, and how decisions are monitored or reviewed.
Ongoing monitoring
Continuous oversight as systems, vendors, risks, and regulations change—governance is not a one-time exercise.
PLATFORM
How PolicyOS helps
- Build and maintain an AI system inventory
- Classify AI systems by use case, risk, and business impact
- Assign internal ownership and accountability
- Track policies, controls, evidence, and review cycles
- Monitor compliance readiness across teams and systems
- Prepare for audits, vendor reviews, and internal governance reporting
- Create a repeatable operating model for responsible AI adoption
READINESS
EU AI Act readiness checklist
- Identify all AI systems currently used across the organization
- Document business owners, technical owners, vendors, and data flows
- Classify each AI system by purpose, impact, and risk level
- Review whether any systems may be high-risk or require additional oversight
- Establish internal AI governance policies and approval processes
- Document human oversight, transparency, and monitoring controls
- Maintain evidence of reviews, decisions, and compliance activities
- Review vendors and third-party AI providers
- Train employees on responsible AI usage and AI literacy
- Schedule recurring reviews to keep documentation current
NEXT STEPS
Build AI governance with confidence
AI compliance is becoming a business requirement. Organizations that prepare early will be better positioned to adopt AI responsibly, respond to customer expectations, and demonstrate trust.