What is post-market monitoring under the AI Act?
Post-market monitoring is the system that providers of high-risk AI systems must establish under Article 72: a documented, proportionate process for actively and systematically collecting and analysing data on the system’s performance in real use, throughout its lifetime, to verify continuous compliance. It runs on a post-market monitoring plan that is part of the technical documentation, on a Commission template.
What it feeds
- Corrective action: drift, degraded accuracy or new misuse patterns must trigger fixes, warnings or withdrawal;
- Incident reporting: monitoring is how you detect a serious incident within the reporting clock;
- Deployer feedback: Article 26 duties make deployers your sensors: contracts should oblige structured feedback.
Why it matters
For ML teams this is familiar model-observability work (drift dashboards, eval suites, logging): the legal delta is documentation and the paper trail connecting detection to action. Systems on the December 2027 runway should design monitoring in now, not bolt it on at conformity-assessment time.
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If this is on your desk
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