Governance-first AI: shipping under the EU AI Act and China's rules
For manufacturers selling into Europe and operating in China, governance is not paperwork you add at the end. Built in early, it is faster, not slower.
Manufacturers feel caught between two regimes: the EU AI Act's risk tiers and China's own framework for algorithms and data. The instinct is to treat compliance as a final gate. That is exactly what makes it slow and painful.
Classify the use case, not the company
Most factory-floor AI, such as visual inspection or scheduling, sits in limited or minimal risk, with obligations that are light if you planned for them: clear documentation, human oversight on consequential calls, and a record of how the system behaves. The expensive surprises come from treating a high-risk use case as if it were low.
Audit logs are a feature, not a cost
The same trace that satisfies an auditor also tells your operators why the model flagged a part. Build it once and it serves quality, debugging, and compliance at the same time. Governance that is wired in at the data layer is cheaper than governance bolted on after launch.
Keep data residency explicit, keep a human in the loop for decisions that carry real cost, and keep the model's reasoning legible to the people who depend on it. Do that and crossing borders becomes a checklist, not a rebuild.