EU AI Act Annex IV Technical Documentation Template

Build an evidence-backed working file for Article 11 and Annex IV. The editable template covers system design, data, testing, risk controls, human oversight, cybersecurity, and post-market monitoring.

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Article 11 requirement, Annex IV contents

Article 11 requires providers of high-risk AI systems to prepare technical documentation before the system is placed on the market or put into service, and to keep it current. Annex IV specifies the information that documentation should contain. The template below mirrors that structure, but it must be adapted to your system and role.

Read the official EU AI Act on EUR-Lex

What "technical documentation" must show

Technical documentation must demonstrate how the system was designed, trained, tested, and controlled to ensure compliance with EU AI Act requirements.

Design

System architecture, components, and design decisions

Training

Data sources, training methodology, and model development

Testing

Evaluation methods, performance metrics, and validation

Control

Risk management, oversight mechanisms, and monitoring

Template Sections (Copy-Ready)

1. System Overview & Intended Purpose

Clear description of the AI system's purpose, intended use cases, target users, and expected outcomes. Include scope, limitations, and key functionalities.

2. Architecture & Components (incl. third-party models)

Technical architecture, system components, data flows, and integration with third-party models or services. Include version information and dependencies.

3. Data Governance Summary (sources, representativeness, preprocessing)

Data sources, collection methods, representativeness analysis, preprocessing steps, quality assurance, and bias testing procedures.

4. Training/Evaluation Methods, Metrics, Results

Training methodology, evaluation frameworks, performance metrics, validation results, and model performance across different scenarios and demographics.

5. Risk Management Summary (identified risks, mitigations)

Identified risks, risk assessment methodology, mitigation strategies, residual risks, and risk monitoring procedures.

6. Human Oversight & Fail-safes

Human oversight mechanisms, intervention procedures, fail-safe systems, override capabilities, and escalation protocols.

7. Accuracy/Robustness/Security Targets + Tests

Performance targets, robustness testing, security measures, adversarial testing, and continuous monitoring protocols.

8. Logging & Traceability

Logging systems, traceability mechanisms, audit trails, data retention policies, and monitoring capabilities.

9. Instructions for Use & Limitations

User instructions, operational guidelines, system limitations, known issues, and best practices for safe deployment.

10. Post-market Monitoring Plan

Monitoring strategy, incident detection, feedback collection, performance tracking, and continuous improvement processes.

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Why Use Our Template?

EU AI Act Compliant

Covers all required sections under Article 11 of the EU AI Act for high-risk AI systems.

Ready to Use

Copy-ready sections with clear guidance on what to include in each part.

Risk-Focused

Emphasizes risk management, oversight, and monitoring requirements.