Human oversight is not only a policy statement. It requires clear review points, responsible people, escalation paths, limits on automation and evidence that humans can understand and intervene in the workflow.
Operational information, not legal advice.
Obligation evidence map
Obligation
Identify which obligation, control area or governance requirement is triggered.
Evidence
Define which document, record, process proof or artifact must support the claim.
Owner
Assign the team or role responsible for keeping the evidence current.
Review point
Set the point where evidence must be reviewed before implementation continues.
Strategic answer
Human oversight is credible only when people can understand, review, intervene, escalate or stop the AI-supported workflow. The company should be able to show where oversight happens and who is responsible.
Start with the EU AI Act Diagnostic, turn findings into an implementation plan, and see how the diagnostic works as a reference app on M13.
Exposure focus
First action
This page provides operational information for AI governance readiness. It is not legal advice.
Related guides
Run a diagnostic-first EU AI Act assessment for role, risk, documentation and implementation exposure.
A direct answer page for US companies that need to understand possible EU AI Act exposure.
Clarify the difference between provider and deployer roles under EU AI Act readiness work.
A practical guide to assessing EU AI Act risk before committing budget to implementation.
Official sources
External references are included for source orientation. This page remains operational information and is not legal advice.