The EU AI Act is not purely a legal topic. A large part of the requirements can only be met technically: traceable data provenance, versioned models, reproducible tests, and documented decisions.
Why engineering teams are affected
Once a system is classified as high-risk, obligations apply that directly affect the architecture:
- A risk management system across the entire lifecycle
- Technical documentation that matches the code
- Logging and traceability of decisions
- Human oversight as a technically anchored process
A minimal example
A simple check in the CI pipeline can ensure that every model has a purpose and a risk class:
type ModelMeta = {
name: string;
purpose: string;
riskClass: 'minimal' | 'limited' | 'high' | 'unacceptable';
};
function assertCompliant(model: ModelMeta) {
if (!model.purpose) throw new Error('Purpose missing');
if (model.riskClass === 'unacceptable') {
throw new Error('System is not permitted');
}
}Conclusion
Compliance becomes robust when it is part of the build process — not a document that emerges shortly before release.