EU AI Act Technical
Documentation Guide
A Practical Resource for Navigating Compliance Requirements Under Annex IV
11/2024
3 MIN READ /
As high-risk AI systems face increased regulatory scrutiny, the EU AI Act mandates the preparation of technical documentation (Article 11) prior to deployment. This documentation plays a central role in demonstrating that the system meets essential requirements — from risk management to transparency and robustness — as specified in Chapter III, Section 2 and Annex IV.
To help you navigate these requirements, we’ve developed a free, downloadable PDF guide designed to support organizations of all sizes — including providers, deployers, and technology partners — in creating compliant documentation that aligns with best practices and upcoming enforcement deadlines.
What’s Inside:
A full breakdown of Annex IV documentation elements
Step-by-step guidance for preparing structured, compliant submissions
Simplified documentation tips, especially valuable for startups and SMEs
Insights to help maintain up-to-date and auditable compliance records
Whether you’re just starting your compliance journey or refining internal governance processes, this guide helps you lay a solid foundation.
Why It Matters
Technical documentation is more than a legal requirement — it’s a reflection of how seriously your organization treats the safety, transparency, and accountability of your AI systems.
Whether you’re at the start of your compliance journey or refining existing processes, this guide offers a clear starting point to align with the evolving EU AI framework.
How code4thought Can Help
Our EU AI Act Assurance service supports organizations at every stage of their compliance journey. We combine technical expertise in AI auditing with deep regulatory insight, helping teams by:
offering a pragmatic implementation of the EU AI Act’s risk management approach for businesses.
assessing your AI systems, models, algorithms and respective processes and identify gaps
providing recommendations for remediation, including for the technology itself.
All while ensuring your high-risk AI systems are not just compliant — but trusted.