The EU AI Act is no longer a future concern. Prohibited AI practices have been enforceable since early 2025, and high-risk system requirements are now subject to compliance assessment. The first enforcement actions are beginning, and they will set precedents that shape AI deployment in Europe for years to come.
What auditors will look for first. The initial audit focus will be on three areas: documentation (can the organization produce a complete technical file for each high-risk AI system?), human oversight (can a human operator intervene, override, or halt the AI system?), and data governance (can the organization demonstrate that training data was collected, labeled, and validated according to documented procedures?). These three areas are the easiest to verify and the hardest to fabricate.
The documentation challenge. Most organizations have some documentation. Few have complete, version-controlled, up-to-date documentation that covers every model version, every training data update, and every architectural change. The AI Act requires that the technical file be maintained throughout the system's lifecycle—not just at initial deployment. This means documentation must be updated in real time, not retroactively compiled before an audit.
Human oversight verification. An auditor will not just check that a human override button exists. They will verify that: the override mechanism works under production load, operators are trained and authorized to use it, the system logs every override event with the operator's identity and reason, and there is a documented escalation procedure for cases where the override is insufficient.
Data governance evidence. The AI Act requires that training, validation, and testing datasets be examined for biases and appropriate statistical properties. This is not satisfied by a statement that the data was reviewed. It requires evidence: data quality reports, bias assessments, statistical distribution analyses, and records of corrective actions taken when biases were identified.
Preparation is architecture, not paperwork. Organizations that treat AI Act compliance as a documentation exercise will produce impressive-looking files that do not match their running systems. Organizations that treat compliance as an architectural constraint—building logging, oversight, and governance into the system from the start—will find that the documentation they need for audits is already being generated by the system itself. The audit is a snapshot; the architecture is the movie.