Evidence readiness for the European Union Artificial Intelligence Act
A practical guide to the evidence teams need before they can treat European Union Artificial Intelligence Act readiness as more than a checklist.
Compliance needs proof, not intent
Many teams start European Union Artificial Intelligence Act work by collecting policies. That is useful, but it is not enough. A reviewer also needs to see whether the system is classified, tested, monitored, and governed in day to day work.
The practical question is simple: can the team show what the artificial intelligence system does, what risk category applies, which controls are active, and who reviewed the evidence?
What a review team should expect
A credible evidence set should connect product context to control evidence. For example, an artificial intelligence feature that affects users should have a risk classification record, test results, user information, monitoring notes, and ownership.
System purpose and intended use
Risk classification and reason
Testing records with dates and owners
User transparency wording
Incident or escalation process
Evidence of periodic review
Why Kodex separates documentation and implementation
A policy can say a control exists while the product has no matching implementation proof. Kodex separates documentation evidence from implementation evidence so teams can see the difference between written intent and operational reality.
This split helps a reviewer ask better questions: do we have the document, and can we prove the process actually runs?
Build the evidence trail
Kodex Compliance helps teams turn questionnaires, documents, implementation proof, and reviewer decisions into a clear compliance record.
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