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EU AI Act Annex IV: Technical Documentation Checklist
A practical EU AI Act Annex IV checklist covering technical documentation, risk controls, data governance, testing, human oversight, and evidence.
Annex IV of the EU AI Act specifies the minimum content of technical documentation for high-risk AI systems. It is the structured “technical file” that demonstrates how the system was designed, how risks were managed, how data was governed, how performance is measured, and how the system will behave safely in production — including human oversight and post-market monitoring.
What a strong Annex IV pack contains (conceptual checklist)
Authorities and notified bodies expect consistency: identifiers, version numbers, change logs, and cross-links between risk analysis, test results, and deployment instructions. Copy-pasting generic ISO policies without system-specific evidence fails reviews.
- General system description — intended purpose, development context, reasonably foreseeable misuse.
- Risk management — systematic identification and mitigation across the lifecycle (Article 9).
- Data governance — training, validation, testing data where applicable; bias and limitations (Article 10).
- Design and development — specifications, algorithms, architecture choices, design choices for transparency.
- Performance metrics — appropriate accuracy, robustness, cybersecurity (Articles 15 and Annex IV points).
- Human-machine interface and oversight — meaningful human control (Article 14).
- Post-market monitoring — plan and feedback loops (Article 72).
Where engineering teams usually fall short
Gaps cluster around lineage (which dataset trained which version), evaluation protocols (what was tested, on whom, with what metrics), and change control (what happens when the model or prompt templates update weekly). These details make evidence usable for the people reviewing the technical file.
How Agent Mai supports Annex IV readiness
Agent Mai compares your uploaded artefacts to Annex IV–style completeness, highlights missing sections, and suggests remediation drafts your lawyers can refine. Export structured JSON for GRC tools or attach outputs to your QMS — reducing back-and-forth before notified body review.
Annex IV section-by-section evidence map
Treat Annex IV as an index into verified engineering and governance evidence. The document should explain the system at a level that allows authorities or a conformity assessor to understand how it was developed, how it operates, how it is controlled, and whether the evidence supports the provider's claims. Each claim should point to a versioned source rather than repeating untraceable narrative.
- System description — name, version, provider, intended purpose, users, hardware and software interactions, interfaces, deployment modes, and previous versions.
- Development process — design methods, architecture, model selection, optimisation objectives, assumptions, third-party components, resources, and relevant design choices.
- Data information — provenance, scope, collection, preparation, labelling, cleaning, representativeness, known limitations, bias examination, and governance measures where Article 10 applies.
- Operation and outputs — input specifications, output interpretation, capabilities, limitations, expected accuracy, foreseeable misuse, and environmental conditions.
- Risk and control evidence — Article 9 risk records, mitigations, residual risks, validation, testing, cybersecurity, robustness, and human-oversight measures.
- Lifecycle documentation — change history, standards or common specifications applied, EU declaration material, conformity-assessment records, logging design, and post-market monitoring plan.
Build a traceability matrix, not a document folder
Create a matrix with one row per requirement and columns for system version, control owner, implementation location, evidence item, verification result, approval, and review date. A data-quality claim should link to the exact dataset report and evaluation run; a human-oversight claim should link to the interface behaviour, instructions, training evidence, and intervention test. This prevents contradictions across policies, model cards, tickets, and release notes.
A minimum viable Annex IV review cycle
- At design review, freeze the intended purpose, system boundary, role allocation, and initial risk hypothesis.
- Before release, reconcile documentation against the shipped model, prompts, retrieval sources, tools, controls, and instructions for use.
- Require evidence owners to attest that linked artefacts remain accurate for the release candidate.
- Record gaps as owned remediation work with due dates and acceptance criteria, not as narrative caveats.
- After release, feed incidents, complaints, monitoring signals, overrides, and material changes back into the technical file.
Common documentation failures
Weak files describe a generic model instead of the marketed system, report metrics without test populations or thresholds, omit supplier dependencies, use inconsistent version identifiers, or claim human oversight without showing that a person has time, authority, information, and a usable intervention path. Another frequent failure is evidence freshness: the file describes a release that is no longer in production.
Evidence ownership across suppliers
Annex IV readiness often depends on model, cloud, data, evaluation, and monitoring suppliers. Maintain an evidence-responsibility matrix that identifies what each party provides, the permitted reliance, confidentiality limits, update frequency, retention period, and fallback if a supplier cannot provide enough detail. Contractual confidentiality does not remove the provider's obligation to assemble adequate technical documentation. Record where protected supplier evidence can be reviewed and how assessors or authorities can access it when lawfully required.
Frequently asked questions
Who must prepare Annex IV technical documentation?
Providers of high-risk AI systems must draw up technical documentation before the system is placed on the market or put into service and keep it current. The exact route and supporting obligations depend on the system and provider role.
Is a model card enough for Annex IV?
Usually not. A model card can support the file, but Annex IV reaches the deployed system, including intended purpose, architecture, data, evaluation, risk controls, human oversight, lifecycle changes, standards, conformity work and post-market monitoring.
How often should Annex IV documentation be updated?
It should remain current throughout the lifecycle. Teams should update it when releases materially change the model, data, intended purpose, performance, risk controls, suppliers, interfaces or operational environment.
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Educational content only — not legal advice. Verify obligations with qualified counsel.