EU AI Act Guide

EU AI Act for compliance teams

Compliance teams need a system-level view before assigning controls. The useful first step is to identify relevant AI systems, classify roles, triage risk and connect gaps to evidence that can be maintained.

Run the diagnostic first

Operational information, not legal advice.

Role operating model

EU AI Act for Compliance Teams

1

Function

Clarify which team owns the AI system, workflow or governance decision.

2

Responsibility

Separate strategic accountability from operational execution, review and evidence upkeep.

3

Evidence owner

Assign documentation, controls and audit evidence to a maintainable owner.

4

Handoff

Connect legal, product, technical and governance work into one operating rhythm.

Operating model

Function, responsibility, evidence ownership and handoff define how AI governance work can actually move.

Strategic answer

Compliance teams need evidence they can maintain, not only policy text.

EU AI Act readiness creates practical compliance work only after systems, roles and risk signals are known. Compliance teams should connect requirements to evidence, controls, oversight and owners that can survive beyond a one-time review.

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

What compliance should make reviewable

  • Which AI systems are in scope and who owns them.
  • Which role the company performs for each system.
  • Which risk signals require deeper governance or documentation.
  • Which controls produce evidence that can be reviewed later.

First action

What to do first

  1. 01Use the AI inventory as the control starting point.
  2. 02Map scope and role before assigning obligations.
  3. 03Link each readiness gap to an owner.
  4. 04Keep evidence aligned with implementation changes.

This page provides operational information for AI governance readiness. It is not legal advice.