Four Common EU AI Act Readiness Gaps Companies Often MissFour Common EU AI Act Readiness Gaps Companies Often Miss
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4 EU AI Act readiness checks most companies are skipping right now:
1. "Our vendor handles compliance." Under Article 28, deployers carry their own obligations separate from the provider. Your vendor's CE mark doesn't cover your use case. You're a deployer, not a bystander.
2. No documented human override process. Article 14 requires more than logging. There has to be a process for humans to monitor and override AI outputs, and someone has to own it. "We can see the output" doesn't count.
3. Risk classification treated as a checkbox. If you retrain the model, change its inputs, or deploy it in a new context, the risk level needs to be reassessed. Most teams do it once and forget it. Auditors won't.
4. No data provenance trail. Article 10 requires training and validation data to meet quality criteria, including where it came from and how it was cleaned. If you can't answer that question in 5 minutes, that's the gap an audit will find first.
None of these are complicated to fix once you spot them.
What's the one your team assumed was already covered?
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