EU AI Act Guide

EU AI Act gap analysis

An EU AI Act gap analysis compares the current state of AI systems, documentation, ownership, oversight and monitoring against the readiness work required for the company’s role and risk profile.

Operational information, not legal advice.

Readiness planning model

EU AI Act Gap Analysis

1

Gap map

Map missing roles, evidence, controls and implementation decisions.

2

Priority

Separate urgent compliance exposure from later governance improvements and backlog work.

3

Owner

Assign each workstream to the team that can close and maintain the gap.

4

Timeline

Turn findings into a practical readiness path before rollout pressure increases.

Readiness plan

Gap map, priority, owner and timeline turn diagnostic findings into an implementation path.

Strategic answer

A gap analysis should compare current AI operations against readiness needs.

An EU AI Act gap analysis is useful when it compares the company’s current systems, controls, documentation and ownership against what the role and risk profile actually require. The output should be a prioritized implementation backlog.

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 the gap analysis should compare

  • Current system inventory versus unknown or unmanaged AI use.
  • Current role clarity versus provider, deployer or supply-chain exposure.
  • Current documentation versus evidence needed for review.
  • Current oversight and monitoring versus risk-sensitive workflow needs.

First action

What to do first

  1. 01Run a diagnostic across scope, role, risk and documentation.
  2. 02Group gaps by urgency and owner.
  3. 03Separate quick evidence fixes from deeper implementation work.
  4. 04Use the gap analysis to sequence the roadmap.

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