Companies should treat the EU AI Act as a system and operating model question. The first step is to identify AI systems, roles, EU exposure, high-risk signals and the implementation work that matters first.
Operational information, not legal advice.
Company exposure map
Business context
EU customers, users or output
AI product or workflow use
Exposure path
Strategic answer
For companies, EU AI Act readiness is a practical operating question. Teams need to know which AI systems exist, where EU exposure appears, which roles the company performs, which systems may be high-risk and which implementation steps come first.
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.