The EU AI Act and high-risk systems: what regulated deployers must know
In regulated industries, the compliance status of your AI system is itself a design requirement.
The EU AI Act introduces a risk-based framework, and many regulated-industry applications, particularly those touching fraud, creditworthiness or access to services, may fall into the high-risk category. Deployers cannot treat compliance as a legal afterthought bolted on at the end. This is general guidance, not legal advice: organisations should validate their specific obligations with qualified counsel.
Practical implications for builders
- Risk classification early: assess whether each module is high-risk before design freezes.
- Documentation and logging: maintain records that demonstrate data governance and traceability.
- Human oversight: build meaningful human control into high-risk workflows by design.
- Data governance: ensure lawful basis, quality and sovereignty of training and operational data.
Fraud and KYC modules
Because scoring people and entities can be high-risk, these modules are designed from day one with human-in-the-loop control, logging and explainability.
Sovereign, compliant infrastructure
Sovereign hosting and a single approved model provider simplify demonstrating data-protection and AI Act alignment to regulators.