EU AI Act Compliance for Enterprise AI
EU AI Act Compliance for Enterprise AI
The world’s first binding AI regulation applies risk-based obligations to providers and deployers across the full AI lifecycle — with penalties up to €35M or 7% of global turnover.
What Is the EU AI Act?
The EU AI Act (Regulation EU 2024/1689) is binding law across EU member states. It applies a risk-tiered approach — the level of compliance obligation depends on how an AI system is classified. Both providers (organizations that develop or place AI on the EU market) and deployers (organizations that use AI professionally) are in scope.
Risk Tiers
Unacceptable Risk
Prohibited: No Deployment Permitted
Social scoring, real-time biometric surveillance, manipulative AI
High Risk
Full Compliance Obligations
Credit, hiring, medical devices, education, law enforcement, critical infrastructure
Limited Risk
Transparency Obligations
Chatbots, deepfakes, emotion recognition
Minimal Risk
No Mandatory Requirements
Spam filters, low-impact recommendations, video game AI
Enforcement Timeline
Penalties
AI violations
violations
to authorities
How Trustible Supports
EU AI Act Compliance
| EU AI Act Requirement | Trustible Capability |
|---|---|
| AI System Classification | Automated Workflows capture use case purpose, affected populations, and deployment context — enabling classification against EU AI Act risk tiers. |
| Risk Management System | Risk Management maintains a live risk register with inherent and residual risk, mitigation tracking, and owner accountability. |
| Technical Documentation | AI Inventory + Automated Workflows generate structured documentation covering model details, data sources, governance history, and assessment outcomes. |
| Human Oversight | Workflow design enforces human review and approval gates, with configurable escalation for high-risk use cases. |
| Transparency & Accountability | Reporting & Dashboards provide a complete, reviewable record of governance decisions, approvals, and audit trails. |
| Periodic Review | Automated Workflows support scheduled periodic reviews and substantial modification assessments as AI systems evolve. |
| Multi-Framework Mapping | EU AI Act controls map to ISO 42001, NIST AI RMF, and other frameworks simultaneously — document once, comply at scale. |
Your First 90 Days
Day 30: Establish AI Inventory and Classification Baseline
Day 60: Operationalize Required Governance Activities
Day 90: Scale and Demonstrate Compliance
EU AI Act FAQs
Does the EU AI Act apply to organizations headquartered outside the EU?
Yes. It applies to any provider or deployer whose AI system is placed on the EU market or whose outputs are used in the EU. Any organization with EU customers, EU employees using AI tools, or EU-based operations is likely in scope.
How do we determine if our AI systems are 'high-risk'?
High-risk AI meets one of two criteria: (1) AI that is a safety component of a regulated product in sectors like medical devices, machinery, or vehicles; or (2) AI explicitly listed in Annex III — including credit scoring, hiring, education, biometric identification, law enforcement, and critical infrastructure.
What documentation do we need for high-risk AI systems?
High-risk AI requires technical documentation before market placement covering system design, capabilities, limitations, training data, risk management processes, accuracy benchmarks, and conformity assessment results. Trustible generates and maintains this through intake workflows, risk assessments, and AI Inventory records.
How does the EU AI Act interact with GDPR?
Both are complementary but distinct. GDPR governs data privacy; the AI Act governs AI system design, deployment, and oversight. Many high-risk AI systems processing personal data face obligations under both. Trustible maps governance activities to both frameworks simultaneously, avoiding duplicate documentation.
What are the GPAI provisions and who do they affect?
General-Purpose AI models face specific obligations from August 2025 — technical documentation, EU copyright compliance, and usage summaries. Organizations that fine-tune or deploy GPAI models in specific applications must ensure those applications comply with the applicable risk-tier requirements.