EU AI Act compliance should start with scope, role and risk clarity. Companies should identify relevant AI systems, classify responsibilities, detect high-risk signals and turn gaps into an implementation plan.
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
Compliance work becomes useful only after the company knows which AI systems matter, what role it performs and which systems may require deeper high-risk review. Generic policy work without this map can create effort without operational readiness.
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.