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EU AI Act in Practice: How a SaaS Company Documents Its AI Systems

How should a SaaS company document its AI systems? This article explains the practical requirements of the EU AI Act and how structured documentation ensures audit readiness.

April 13, 2026
Robin Wilting | SimpleAct
2 min read
EU AI ActKI-DokumentationSaaSComplianceRisikobewertungAuditKI-Verordnung
EU AI Act in Practice: How a SaaS Company Documents Its AI Systems

Most SaaS companies start AI documentation the same way: with good intentions and an empty document.

A Notion page. An Excel sheet. Maybe an internal wiki.

At first, it works. The first AI system gets documented. Done.

But then the company grows. More features. More tools. Suddenly, there are ten or twenty systems.

That’s when it becomes clear: AI documentation is not a one-time task. It’s a process.

And that’s exactly what the EU AI Act requires.


What SaaS companies must document

For each AI system, you need:

  • Purpose
  • Context of use
  • Responsibility
  • Data sources
  • Risk classification
  • Compliance measures

Most importantly, this must be traceable and up to date.


Scenario 1: A new feature goes live

❌ Without process

Documentation is forgotten or incomplete.

✅ With structure

The system is documented and approved before launch.


Scenario 2: A customer asks about AI compliance

❌ Fragmented data

Information is scattered across tools and teams.

✅ Centralized overview

Everything is exportable and audit-ready.


The key difference: List vs system

A list shows what exists. A system shows compliance.

The EU AI Act does not require a document. It requires a system.


Conclusion

Structured documentation saves time, reduces risk, and ensures audit readiness.

Get started →


This is not legal advice.

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EU AI ActKI-DokumentationSaaSComplianceRisikobewertungAuditKI-Verordnung
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Robin Wilting | SimpleAct

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