--- title: "EU AI Act Technical Documentation and Provider Evidence Templates" canonical_url: "https://www.sorena.io/artifacts/eu/artificial-intelligence-act/technical-documentation-and-provider-evidence-templates" source_url: "https://www.sorena.io/artifacts/eu/artificial-intelligence-act/technical-documentation-and-provider-evidence-templates" author: "Sorena AI" description: "Build AI Act evidence templates for high-risk AI providers: Article 11 technical documentation, Annex IV fields, quality management, conformity, CE marking, registration, logs, and post-market monitoring." published_at: "2026-05-09" updated_at: "2026-05-09" keywords: - "EU AI Act" - "Article 11" - "Annex IV" - "Article 16" - "high-risk AI provider" - "technical documentation" - "EU declaration of conformity" - "CE marking" - "registration" - "logs" - "post-market monitoring" - "high-risk AI systems" - "Article 11 technical documentation" - "Article 16 provider obligations" --- **[SORENA](https://www.sorena.io/)** - AI-Powered GRC Platform [Home](https://www.sorena.io/) | [Solutions](https://www.sorena.io/solutions) | [Artifacts](https://www.sorena.io/artifacts) | [About Us](https://www.sorena.io/about-us) | [Contact](https://www.sorena.io/contact) | [Portal](https://app.sorena.io) --- # EU AI Act Technical Documentation and Provider Evidence Templates Build AI Act evidence templates for high-risk AI providers: Article 11 technical documentation, Annex IV fields, quality management, conformity, CE marking, registration, logs, and post-market monitoring. *Evidence Templates* *EU AI Act* ## EU AI Act Technical Documentation and Provider Evidence Templates A practical evidence structure for providers of high-risk AI systems under Article 11, Annex IV, and Article 16 of Regulation (EU) 2024/1689. Use it to organize technical documentation, quality management records, logs, conformity assessment proof, EU declaration of conformity, CE marking, registration, and post-market monitoring evidence. This page turns the EU AI Act provider evidence package into concrete templates. It is written for teams preparing or maintaining high-risk AI system documentation, not for general AI policy tracking. The core record is the Article 11 technical file, supported by Annex IV content, Article 16 provider-obligation evidence, quality management records, logs, conformity assessment outputs, registration data, and the Article 72 post-market monitoring plan. ## Template 1: Article 11 and Annex IV technical documentation file Article 11 requires technical documentation for a high-risk AI system to be drawn up before the system is placed on the market or put into service, kept up to date, and written clearly enough for competent authorities and notified bodies to assess compliance. The Annex IV template should be maintained as a controlled technical file, with one owner for each field and a direct link to the underlying proof. Avoid a narrative-only document: auditors and notified bodies need traceability from claim, to system version, to test result, to approval. - System identity: intended purpose, provider name, version history, release form, hardware or software dependencies, user interface, and instructions for deployers. - Design and development: development methods, third-party or pre-trained components, architecture, design choices, assumptions, optimization targets, expected outputs, and known trade-offs. - Data evidence: training, validation, and testing data descriptions, provenance, selection, labelling, cleaning, representativeness, data gaps, bias checks, and mitigation records. - Testing evidence: validation procedures, metrics for accuracy, robustness, cybersecurity, discrimination impacts, dated and signed test logs, and all test reports. - Control evidence: human oversight measures, input-data specifications, risk management record, cybersecurity measures, relevant lifecycle changes, standards or specifications used, and the EU declaration of conformity. - Post-market evidence: the system used to evaluate performance after market placement, including the Article 72 post-market monitoring plan. Sources for this answer: - [Regulation (EU) 2024/1689 - Article 11 and Annex IV](https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32024R1689&ref=sorena.io) - Supports the requirement to create and maintain technical documentation for high-risk AI systems and the minimum Annex IV content categories. ## Template 2: Article 16 provider-obligation evidence register Article 16 is the provider evidence checklist for high-risk AI systems. The register should show that each provider duty has an accountable owner, a maintained artifact, a date of last review, and a release gate that prevents market placement or putting into service before required evidence exists. Use the register as the table of contents for the compliance file. It should not duplicate every technical detail; it should point to the authoritative record for each Article 16 obligation. - Compliance gate: proof that the system meets the Chapter III, Section 2 requirements before release. - Provider identification: name, trade name or trademark, and contact address on the system, packaging, or accompanying documentation where applicable. - Quality management: Article 17 quality management system procedure, scope, management responsibility, and modification-control records. - Documentation retention: Article 18 evidence showing technical documentation, QMS documentation, notified-body decisions, certificates, and EU declarations are kept for the required authority-access period. - Log custody: Article 19 evidence showing which automatically generated logs are under provider control, retention logic, access controls, and authority-response procedure. - Conformity package: conformity assessment record, EU declaration of conformity, CE marking decision, registration record, corrective-action procedure, authority-response pack, and accessibility compliance evidence. Sources for this answer: - [Regulation (EU) 2024/1689 - Article 16](https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32024R1689&ref=sorena.io) - Lists the provider obligations for high-risk AI systems, including QMS, documentation, logs, conformity assessment, declaration, CE marking, registration, corrective actions, and authority cooperation. ## Template 3: quality management, conformity, CE marking, and registration pack The AI Act evidence pack should connect the management system to the product-law outputs. Article 17 requires documented policies, procedures, and instructions; Articles 47 to 49 convert that operating system into declaration, marking, and registration records. For high-risk AI systems that require notified-body involvement, keep the notified-body application, technical documentation submitted, assessment decision, certificate, change notifications, audit reports, and any additional tests or evidence requests together with the same system version. - Quality management fields: regulatory strategy, design control, development and validation procedures, data management, risk management, post-market monitoring, serious-incident reporting, authority communication, record-keeping, resources, and management accountability. - EU declaration fields: system name and traceable identifier, provider or authorised representative, sole-responsibility statement, conformity statement, applicable Union law, standards or common specifications, notified-body details where applicable, place, date, signatory, and signature. - CE marking fields: placement of the marking, digital access path where the system is provided digitally, notified-body identification number where applicable, and promotional-material checks when CE conformity is mentioned. - Registration fields: provider and authorised-representative details, AI system trade name, intended purpose, operating logic summary, market status, certificate details where applicable, Member States, EU declaration copy, electronic instructions for use, and optional additional-information URL. - Change-control fields: intended changes, affected documentation sections, standards impact, notified-body notification need, conformity reassessment decision, and release approval. Sources for this answer: - [Regulation (EU) 2024/1689 - Articles 17, 47, 48, 49 and Annexes V, VII, VIII](https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32024R1689&ref=sorena.io) - Supports the quality management system, EU declaration of conformity, CE marking, conformity assessment, and registration fields. - [AI Act Service Desk - Article 49 registration](https://ai-act-service-desk.ec.europa.eu/en/ai-act/article-49?ref=sorena.io) - Explains registration of providers, authorised representatives, deployers, and high-risk AI systems in the EU database before placement or use. ## Template 4: logs, post-market monitoring, and corrective-action evidence The evidence file should not stop at release. Article 12 requires high-risk AI systems to technically allow automatic event recording, Article 19 requires providers to keep logs under their control, and Article 72 requires active post-market monitoring throughout the system lifetime. The post-market template should make field data usable. It should identify what is collected, who reviews it, which signals trigger investigation, how deployer feedback is handled, and how the technical documentation is updated when performance, risk, or intended use changes. - Logging template: event category, timestamp, system version, deployment context, risk signal, substantial-modification indicator, deployer-control boundary, retention period, access owner, and authority-disclosure workflow. - Monitoring plan: sources of performance data, deployer feedback channels, incident intake, sampling method, review cadence, acceptance thresholds, interaction with other AI systems, and documentation update trigger. - Corrective-action record: non-conformity or risk description, cause investigation, affected versions and deployers, corrective action, withdrawal, disabling or recall decision, authority and notified-body notifications where applicable, and closure evidence. - Documentation update trigger: model, data, interface, intended-purpose, performance, cybersecurity, human-oversight, integration, or deployment-context change that affects compliance or the technical file. Sources for this answer: - [Regulation (EU) 2024/1689 - Articles 12, 19, 20, 21 and 72](https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32024R1689&ref=sorena.io) - Supports log capability, provider log retention, corrective actions, authority cooperation, and post-market monitoring plan requirements. ## Optional add-on: GPAI model provider documentation templates If the evidence package also covers a general-purpose AI model provider, keep that record separate from the high-risk AI system technical file. GPAI providers have model documentation and downstream-provider information duties under Article 53, with minimum content in Annexes XI and XII. For GPAI models, add a public summary of training content using the Commission template where Article 53(1)(d) applies. Do not merge that public summary with confidential technical documentation; the audiences and disclosure levels are different. - GPAI model documentation: tasks, acceptable-use policies, release date, distribution method, architecture, parameters, modality, licence, training and validation information, compute, training time, and energy-consumption information where applicable. - Downstream-provider information: capabilities, limitations, integration requirements, acceptable uses, software versions, and other information needed by system providers to understand and comply with their own AI Act obligations. - Training-content summary: public categories of training content, explanation of unavailable information where justified, update date, and a clear distinction between public summary fields and confidential technical file fields. Sources for this answer: - [European Commission - Guidelines for providers of general-purpose AI models](https://digital-strategy.ec.europa.eu/en/policies/guidelines-gpai-providers?ref=sorena.io) - Commission guidance context for GPAI provider obligations, submission routes, and how the Commission interprets the GPAI provider scope. - [European Commission - Template for GPAI training-content summaries](https://digital-strategy.ec.europa.eu/en/faqs/template-general-purpose-ai-model-providers-summarise-their-training-content?ref=sorena.io) - Supports the public training-content summary template for general-purpose AI model providers under Article 53(1)(d). *Recommended next step* *Placement: before sources* ## Build provider evidence that survives release, audit, and authority questions Sorena can help structure Article 11 technical files, Article 16 provider evidence registers, conformity records, EU database registration fields, log-retention evidence, and post-market monitoring plans around the source-linked requirements on this page. - [Open Research Copilot for EU AI Act](/solutions/research-copilot.md): Ask source-linked questions about technical documentation, provider duties, conformity assessment, registration, and post-market monitoring using the cited AI Act sources. - [Talk through implementation](/contact.md): Review your high-risk AI system evidence templates, GPAI documentation boundaries, source gaps, and next implementation steps with Sorena. ## Primary sources - [Regulation (EU) 2024/1689 - Artificial Intelligence Act](https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32024R1689&ref=sorena.io) - Primary legal source for Article 11 technical documentation, Annex IV technical-file fields, Article 16 provider obligations, quality management, logs, conformity, CE marking, registration, and post-market monitoring. - Quote: "laying down harmonised rules on artificial intelligence" - [AI Act Service Desk - Article 49 registration](https://ai-act-service-desk.ec.europa.eu/en/ai-act/article-49?ref=sorena.io) - Official Service Desk explanation of high-risk AI system registration before placement on the market, putting into service, or certain public-sector deployment. - Quote: "Registration" - [European Commission - Guidelines for providers of general-purpose AI models](https://digital-strategy.ec.europa.eu/en/policies/guidelines-gpai-providers?ref=sorena.io) - Commission guidance for GPAI provider scope and obligations that may sit beside, but should not be confused with, high-risk AI system provider evidence. - Quote: "general-purpose AI models" - [European Commission - Template for GPAI training-content summaries](https://digital-strategy.ec.europa.eu/en/faqs/template-general-purpose-ai-model-providers-summarise-their-training-content?ref=sorena.io) - Commission template source for the public summary of training content required from general-purpose AI model providers where Article 53(1)(d) applies. - Quote: "summary of the content used for training" ## Related Topic Guides - [Are industry AI use cases high-risk under EU AI Act Annex III?](/artifacts/eu/artificial-intelligence-act/faq/annex-iii-industry-use-cases.md): FAQ answer on when an industry AI use case falls under EU AI Act Annex III, how Article 6 classification works, when Article 6(3) can support a non-high-risk conclusion, and what evidence providers should keep. - [EU AI Act AI System Classification Edge Cases FAQ](/artifacts/eu/artificial-intelligence-act/faq/ai-system-classification-edge-cases.md): Answers for EU AI Act edge cases: AI system definition, inference versus simple rules, GPAI models, embedded products, territorial scope, roles, and classification evidence. - [EU AI Act Applicability and Roles: Scope, Actor Map, and Evidence](/artifacts/eu/artificial-intelligence-act/applicability-and-roles.md): Determine whether the EU AI Act applies to an AI system or GPAI model, map provider, deployer, importer, distributor, and product manufacturer roles, and record evidence for classification. - [EU AI Act applicability test: scope, role, and risk classification](/artifacts/eu/artificial-intelligence-act/applicability-test.md): Stepwise EU AI Act applicability test for AI-system status, exclusions, territorial scope, operator role, prohibited uses, high-risk systems, GPAI models, transparency duties, and evidence records. - [EU AI Act Article 5 Prohibited AI Practices Screening Guide](/artifacts/eu/artificial-intelligence-act/prohibited-ai-practices.md): Screen AI systems against the EU AI Act Article 5 prohibitions, including manipulation, exploitation, social scoring, biometric and law-enforcement exceptions. - [EU AI Act Article 50 transparency disclosures FAQ](/artifacts/eu/artificial-intelligence-act/faq/article-50-transparency-disclosures.md): Article 50 FAQ for EU AI Act transparency duties covering chatbot notices, synthetic content marking, biometric and emotion notices, deepfakes, public-interest text, timing, accessibility, and exceptions. - [EU AI Act Article 50 transparency, labeling, and user disclosures](/artifacts/eu/artificial-intelligence-act/transparency-labeling-and-user-disclosures.md): Source-grounded guide to EU AI Act Article 50 duties for user interaction notices, synthetic content marking, deepfake labels, emotion recognition notices, biometric categorisation notices, and related high-risk AI instructions for use. - [EU AI Act Article 73 serious incident FAQ](/artifacts/eu/artificial-intelligence-act/faq/serious-incidents.md): FAQ on EU AI Act serious incident handling for high-risk AI systems, including Article 73 reporting, deployer escalation, corrective action, and GPAI systemic-risk distinctions. - [EU AI Act Compliance Checklist by Risk Class](/artifacts/eu/artificial-intelligence-act/checklist.md): A practical EU AI Act checklist for classifying AI systems, assigning operator roles, screening prohibited practices, and collecting evidence for high-risk, GPAI, transparency, monitoring, and incident duties. - [EU AI Act Compliance Program: roles, high-risk evidence, GPAI and incidents](/artifacts/eu/artificial-intelligence-act/compliance.md): Build an EU AI Act compliance program around provider, deployer, importer, distributor, high-risk, GPAI, transparency, monitoring, and incident evidence duties. - [EU AI Act conformity assessment and notified bodies for high-risk AI](/artifacts/eu/artificial-intelligence-act/conformity-assessment-and-notified-bodies.md): Grounded guide to EU AI Act high-risk AI conformity assessment routes, provider evidence, EU declaration of conformity, CE marking, and notified body involvement. - [EU AI Act deadlines and compliance calendar | Article 113 dates](/artifacts/eu/artificial-intelligence-act/deadlines-and-compliance-calendar.md): source-linked EU AI Act compliance calendar for Article 113 staged application dates, Article 111 transitions, GPAI, prohibited practices, AI literacy, and high-risk AI planning. - [EU AI Act FAQ: scope, roles, high-risk AI, GPAI, FRIA, and dates](/artifacts/eu/artificial-intelligence-act/faq.md): Grounded EU AI Act FAQ covering scope, provider and deployer roles, prohibited practices, high-risk classification, GPAI duties, transparency notices, FRIAs, EU database registration, serious incidents, and staged application dates. - [EU AI Act FRIA FAQ: Article 27 Scope, Contents, and Notification](/artifacts/eu/artificial-intelligence-act/faq/fria.md): Source-grounded FAQ on when Article 27 requires a fundamental rights impact assessment, which deployers are covered, what the FRIA must contain, and how it relates to DPIAs and registration. - [EU AI Act FRIA for high-risk AI systems: Article 27 scope and evidence](/artifacts/eu/artificial-intelligence-act/fria-and-high-risk-impact-assessments.md): Source-grounded guide to EU AI Act Article 27 fundamental rights impact assessments: who must run a FRIA, Article 6(2) triggers, Annex III carveouts, DPIA overlap, notification, and registration evidence. - [EU AI Act GPAI and Systemic-Risk Duties: Article 53 and 55 FAQ](/artifacts/eu/artificial-intelligence-act/faq/gpai-and-systemic-risk-duties.md): FAQ on EU AI Act duties for general-purpose AI model providers, including Article 53 documentation, copyright and training-summary duties, Article 55 systemic-risk duties, serious incidents, cybersecurity, and staged enforcement. - [EU AI Act GPAI evidence pack checklist for Article 53 and 55](/artifacts/eu/artificial-intelligence-act/gpai-evidence-pack-workflow.md): Build a source-grounded evidence pack for EU AI Act GPAI model obligations: technical documentation, downstream information, copyright policy, training-content summary, and systemic-risk records where applicable. - [EU AI Act GPAI Provider Obligations: Articles 53 and 55](/artifacts/eu/artificial-intelligence-act/gpai-and-foundation-model-obligations.md): Grounded guide to EU AI Act duties for general-purpose AI model providers: Article 53 documentation, copyright policy, training-content summary, downstream information, and Article 55 systemic-risk controls. - [EU AI Act High-Risk AI Requirements: Articles 8-16 and 26](/artifacts/eu/artificial-intelligence-act/requirements.md): Map the EU AI Act requirements for high-risk AI systems: risk management, data governance, technical documentation, logs, transparency, human oversight, accuracy, robustness, cybersecurity, and deployer duties. - [EU AI Act high-risk AI use cases by industry | Article 6 and Annex III guide](/artifacts/eu/artificial-intelligence-act/high-risk-ai-use-cases-by-industry.md): Industry-by-industry guide to EU AI Act high-risk classification under Article 6, Annex III, Annex I product safety routes, exclusions, and provider/deployer boundaries. - [EU AI Act high-risk conformity assessment route selector](/artifacts/eu/artificial-intelligence-act/high-risk-conformity-route-selector-workflow.md): Select the EU AI Act Article 43 conformity assessment route for a high-risk AI system, including Annex I product legislation, Annex III categories, notified body triggers, standards, declaration, CE marking, registration, and evidence. - [EU AI Act high-risk requirements checklist: Articles 8-15](/artifacts/eu/artificial-intelligence-act/high-risk-requirements-checklist.md): Checklist for EU AI Act high-risk AI system requirements in Articles 8-15: risk management, data governance, documentation, logs, transparency, human oversight, accuracy, robustness, and cybersecurity. - [EU AI Act penalties and fines: Article 99 tiers and GPAI exposure](/artifacts/eu/artificial-intelligence-act/penalties-and-fines.md): EU AI Act penalties explained: Article 99 fine tiers, prohibited-practice exposure, incorrect information, SME caps, Member State rules, and GPAI model fines. - [EU AI Act post-market monitoring and serious incident reporting](/artifacts/eu/artificial-intelligence-act/post-market-monitoring-and-serious-incidents.md): Grounded guide to EU AI Act Articles 72 and 73 for high-risk AI: monitoring plans, serious incident reporting, deployer escalation, corrective action, and GPAI distinctions. - [EU AI Act post-market monitoring FAQ for high-risk AI systems](/artifacts/eu/artificial-intelligence-act/faq/post-market-monitoring.md): Answer to how providers and deployers should handle EU AI Act post-market monitoring for high-risk AI systems under Article 72, with serious-incident, log, corrective-action, and lifecycle-change triggers. - [EU AI Act provider vs deployer role boundaries: Article 3 and Article 25 FAQ](/artifacts/eu/artificial-intelligence-act/faq/provider-and-deployer-role-boundaries.md): FAQ on EU AI Act provider, deployer, operator, importer, distributor, authorised representative, product manufacturer, downstream provider, and GPAI model provider boundaries. - [EU AI Act risk classification intake workflow](/artifacts/eu/artificial-intelligence-act/risk-classification-intake-workflow.md): A grounded intake structure for classifying EU AI Act scope, prohibited practices, high-risk routes, Annex III use cases, GPAI model status, roles, and reassessment triggers. - [EU AI Act serious incident reporting triage workflow: Article 73 and Article 55](/artifacts/eu/artificial-intelligence-act/serious-incident-reporting-triage-workflow.md): Triage EU AI Act serious incidents by definition, actor, reporting route, deadline, deployer escalation, corrective action, and separate GPAI systemic-risk reporting. - [EU AI Act technical documentation FAQ | Article 11 and Annex IV](/artifacts/eu/artificial-intelligence-act/faq/technical-documentation.md): What Article 11 and Annex IV require in high-risk AI technical documentation: system identity, intended purpose, architecture, data, testing, oversight, cybersecurity, conformity, and post-market monitoring. - [EU AI Act Timeline and Phasing Roadmap: practical obligations and evidence guide](/artifacts/eu/artificial-intelligence-act/timeline-and-phasing-roadmap.md): Practical EU AI Act guide to Timeline and Phasing Roadmap: scope, owners, evidence, edge cases, checklist steps, and external source-linked citations. - [EU AI Act vs ISO/IEC 42001: legal duties, controls, and evidence limits](/artifacts/eu/artificial-intelligence-act/eu-ai-act-vs-iso-42001.md): Compare the EU AI Act and ISO/IEC 42001 across legal status, risk classification, high-risk AI, GPAI, transparency, conformity, evidence, and assurance limits. - [EU AI Act vs NIST AI RMF: legal duties, risk controls, and evidence boundaries](/artifacts/eu/artificial-intelligence-act/eu-ai-act-vs-nist-ai-rmf.md): Compare the binding EU AI Act with the voluntary NIST AI RMF, including role classification, high-risk duties, GPAI, transparency, conformity evidence, and reuse limits. - [FAQ: EU AI Act conformity assessment procedures and notified body selection](/artifacts/eu/artificial-intelligence-act/faq/conformity-assessment-and-notified-bodies.md): source-linked FAQ on EU AI Act Article 43 conformity assessment routes, Annex VI internal control, Annex VII notified-body review, CE marking, declarations, and registration. --- [Privacy Policy](https://www.sorena.io/privacy) | [Terms of Use](https://www.sorena.io/terms-of-use) | [DMCA](https://www.sorena.io/dmca) | [About Us](https://www.sorena.io/about-us) (c) 2026 Sorena AB (559573-7338). 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