EU AI Act Guide

EU AI Act for enterprise AI teams

Enterprise AI teams need a shared operating map across product, legal, compliance, security, data and engineering. Readiness starts with inventory, ownership, role classification, risk triage and implementation sequencing.

Run the diagnostic first

Operational information, not legal advice.

Role operating model

EU AI Act for Enterprise AI 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

Enterprise AI teams need one operating view across functions.

Enterprise AI readiness fails when each function keeps a separate map. The useful path is one shared view of systems, owners, EU exposure, provider or deployer roles, high-risk signals and implementation priorities.

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 enterprise AI teams should align

  • Product, legal, compliance, security, data and engineering ownership.
  • AI systems used across departments and business units.
  • EU exposure through users, customers, operations or outputs.
  • Documentation, oversight, monitoring and release-readiness gaps.

First action

What to do first

  1. 01Build a shared inventory and governance view.
  2. 02Identify high-priority systems before broad policy work.
  3. 03Assign owners for each gap and each system.
  4. 04Run readiness as an operating program, not a static checklist.

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