EU AI Act requirements depend on the system, the company role and the risk context. A useful readiness process identifies which obligations may matter before assigning implementation work.
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
There is no useful single checklist without context. Requirements should be mapped from the AI system, intended purpose, company role, risk category, data context, oversight model and documentation needs.
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 practical guide to assessing EU AI Act risk before committing budget to implementation.
Understand high-risk AI system triage and why early classification matters before implementation.
Build a practical implementation path after scope, role and risk have been diagnosed.
Official sources
External references are included for source orientation. This page remains operational information and is not legal advice.