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How to Comply With the AI Act

A guide to qualify your AI systems and ensure long-term compliance

Between deadlines piling up, overlapping regulatory responsibilities, and an IT system that’s constantly changing, it’s hard to know where to start.

This guide provides a comprehensive overview of the legislation, a realistic timeline for meeting your obligations, and a seven-step action plan to move from intention to operational compliance.

How to Comply With the AI Act

Why This Guide?

Most organizations treat the AI Act as a legal topic that can be delegated. However, the legislation actually applies on a system-by-system basis, not to the company as a whole.

As a result, the IT department, the PMO, and the Enterprise Architects are on the front lines: they are the ones who know which systems are running, on what data, and with what level of decision-making autonomy.

Or rather: they are the ones who should know.

Because the real question raised by the AI Act isn’t “are we compliant?” It’s “are we truly governing our AI ecosystem?” And for many organizations, the honest answer is no.

What You'll Find in This Guide

Understand what the AI Act actually says

The three regulatory roles, the risk-based proportionality logic, and what sets the AI Act apart from the GDPR.

Master the compliance timeline

The obligations already in force, those coming next, and why waiting until 2027 to start is a miscalculation.

Classify your AI portfolio

The four risk levels, the eight high-risk domains of Annex III, and the golden rule: you classify a use case, not a software.

Identify the real obstacle

Why shadow AI is your first regulatory risk, and why mapping alone is not enough.

Follow a concrete action plan

From building the team to ongoing oversight, a structured progression you can act on today.

Move from a static registry to a living framework

What operational AI governance actually requires, and why it is a strategic investment that goes far beyond the AI Act.