{"answer_id":"praxikon:eu:ai-act:answer:monitoring-na-livegang","canonical_page":"https://www.praxikon.com/en/antwoord/monitoring-na-livegang","query":"How do we monitor our AI system after it goes live?","lang":"en","view":"full","mode":"scenario","question":"How do we monitor our AI system after it goes live?","situation":"Your high-risk system runs in production. You must keep tracking how it behaves in practice and act as soon as that behaviour deviates from what you established at assessment time.","likely_role":"Provider (you place the system on the market)","note":"Post-market monitoring and incident reporting belong together: the Article 72 monitoring system is how you discover what Article 73 requires you to report. The logs from Article 12 provide the evidence to reconstruct afterwards what happened.","matched_terms":[],"dataset":{"id":"praxikon:sys:registry:dataset:ai-act-implementation-graph","version":"2.2.0","schema_version":"1.5.0","effective_at":"2026-08-08T00:00:00.000Z","known_at":"2026-09-06T00:00:00.000Z","last_reviewed_at":"2026-08-08T00:00:00.000Z","licence":"https://www.praxikon.com/nl/legal/terms","canonical_url":"https://www.praxikon.com/api/v1/entities"},"obligations":[{"slug":"article-72-post-market-monitoring","label":"Article 72: post-market monitoring","summary":"Systematic monitoring of high-risk AI in real use, after market placement.","legal_status":"applicable","deadline_at":"2026-08-02T00:00:00.000Z","high_risk_regime_from":"2027-12-02T00:00:00.000Z","human_page":"https://www.praxikon.com/en/verplichtingen/article-72-post-market-monitoring","api":"https://www.praxikon.com/api/v1/obligations?lang=en","official_source":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","citations":[{"kind":"official_fact","statement":"Article 72 obliges providers to operate a post-market monitoring system with a plan forming part of the technical documentation, collecting relevant real-world data to evaluate continued compliance with Section 2.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 72(1)-(4)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"},{"kind":"official_fact","statement":"This provision is named in none of the three points of Article 113, third paragraph, and therefore falls under the general application date in the second paragraph: 2 August 2026. The move to 2 December 2027 and 2 August 2028 in point (c) concerns only Chapter III, Sections 1, 2 and 3, with the exception of Article 6(5). When a high-risk AI system that this provision addresses can practically exist is a second question: through Article 6(2) and Annex III that is 2 December 2027, and through Article 6(1) and Annex I 2 August 2028. That practical date sits in high_risk_regime_from and not in deadline_at. This is how decision D1 of 6 September 2026 is recorded; see data/ai-act/review/decision-d1-application-dates.json.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 113, second paragraph","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"},{"kind":"official_fact","statement":"This provision is named in none of the three points of Article 113, third paragraph, and therefore falls under the general application date in the second paragraph: 2 August 2026. The move to 2 December 2027 and 2 August 2028 in point (c) concerns only Chapter III, Sections 1, 2 and 3, with the exception of Article 6(5). When a high-risk AI system that this provision addresses can practically exist is a second question: through Article 6(2) and Annex III that is 2 December 2027, and through Article 6(1) and Annex I 2 August 2028. That practical date sits in high_risk_regime_from and not in deadline_at. This is how decision D1 of 6 September 2026 is recorded; see data/ai-act/review/decision-d1-application-dates.json.","source_id":"praxikon:eu:ai-act:source:reg-eu-2026-1744","source_locator":"Article 1, point (40)(b), replacing Article 113, third paragraph, point (c)","source_url":"https://eur-lex.europa.eu/eli/reg/2026/1744/oj","eli":"http://data.europa.eu/eli/reg/2026/1744/oj"},{"kind":"editorial_interpretation","statement":"Compliance does not stop at go-live: this article turns compliance into a continuous state. For deployers it is also the basis to force suppliers to act on deviations.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 72(1)-(4)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"},{"kind":"recommended_action","statement":"Design the monitoring together with the Article 12 logging: the same data flows feed both duties.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 72(1)-(4)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"}]},{"slug":"annex-iii-high-risk","label":"Annex III: high-risk AI","summary":"Classification route for standalone high-risk AI systems under Article 6(2) and Annex III.","legal_status":"upcoming","deadline_at":"2027-12-02T00:00:00.000Z","high_risk_regime_from":null,"human_page":"https://www.praxikon.com/en/verplichtingen/annex-iii-high-risk","api":"https://www.praxikon.com/api/v1/obligations?lang=en","official_source":"https://eur-lex.europa.eu/eli/reg/2026/1744/oj","citations":[{"kind":"official_fact","statement":"The core rules in Chapter III, Sections 1 to 3, for systems under Article 6(2) and Annex III become applicable on 2 December 2027.","source_id":"praxikon:eu:ai-act:source:reg-eu-2026-1744","source_locator":"Amended Article 113, Article 6(2) and Annex III application date","source_url":"https://eur-lex.europa.eu/eli/reg/2026/1744/oj","eli":"http://data.europa.eu/eli/reg/2026/1744/oj"},{"kind":"editorial_interpretation","statement":"The later application date does not remove the classification question. An early classification record avoids design and procurement decisions without evidence.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 6 and Annex III","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"},{"kind":"recommended_action","statement":"Document now the intended purpose, Annex III point, Article 6(3) assessment, profiling and selected registration path.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 6(2)-(4), Article 49 and Annex III","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"}]},{"slug":"article-73-incident-reporting","label":"Article 73: serious incident reporting","summary":"The duty to report serious incidents with high-risk AI, under strict deadlines.","legal_status":"applicable","deadline_at":"2026-08-02T00:00:00.000Z","high_risk_regime_from":"2027-12-02T00:00:00.000Z","human_page":"https://www.praxikon.com/en/verplichtingen/article-73-incident-reporting","api":"https://www.praxikon.com/api/v1/obligations?lang=en","official_source":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","citations":[{"kind":"official_fact","statement":"Article 73 obliges providers to report serious incidents to the market surveillance authority: immediately after establishing the causal link and at the latest within 15 days, shortened to 10 days in the event of death and to 2 days for widespread infringement or serious disruption of critical infrastructure. Deployers inform the provider without delay.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 73(1)-(11)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"},{"kind":"official_fact","statement":"This provision is named in none of the three points of Article 113, third paragraph, and therefore falls under the general application date in the second paragraph: 2 August 2026. The move to 2 December 2027 and 2 August 2028 in point (c) concerns only Chapter III, Sections 1, 2 and 3, with the exception of Article 6(5). When a high-risk AI system that this provision addresses can practically exist is a second question: through Article 6(2) and Annex III that is 2 December 2027, and through Article 6(1) and Annex I 2 August 2028. That practical date sits in high_risk_regime_from and not in deadline_at. This is how decision D1 of 6 September 2026 is recorded; see data/ai-act/review/decision-d1-application-dates.json.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 113, second paragraph","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"},{"kind":"official_fact","statement":"This provision is named in none of the three points of Article 113, third paragraph, and therefore falls under the general application date in the second paragraph: 2 August 2026. The move to 2 December 2027 and 2 August 2028 in point (c) concerns only Chapter III, Sections 1, 2 and 3, with the exception of Article 6(5). When a high-risk AI system that this provision addresses can practically exist is a second question: through Article 6(2) and Annex III that is 2 December 2027, and through Article 6(1) and Annex I 2 August 2028. That practical date sits in high_risk_regime_from and not in deadline_at. This is how decision D1 of 6 September 2026 is recorded; see data/ai-act/review/decision-d1-application-dates.json.","source_id":"praxikon:eu:ai-act:source:reg-eu-2026-1744","source_locator":"Article 1, point (40)(b), replacing Article 113, third paragraph, point (c)","source_url":"https://eur-lex.europa.eu/eli/reg/2026/1744/oj","eli":"http://data.europa.eu/eli/reg/2026/1744/oj"},{"kind":"editorial_interpretation","statement":"The deadlines are too short to design the process during the incident: those who decide who reports at the first incident will not make 15 days, let alone 2. This is the GDPR breach playbook, but for AI.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 73(1)-(11)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"},{"kind":"recommended_action","statement":"Connect the AI incident process to the existing breach and security process and add the AI-specific definitions and deadlines.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 73(1)-(11)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"}]},{"slug":"article-12-logging","label":"Article 12: logging and traceability","summary":"Automatic recording of events over the lifetime of a high-risk AI system.","legal_status":"upcoming","deadline_at":"2027-12-02T00:00:00.000Z","high_risk_regime_from":null,"human_page":"https://www.praxikon.com/en/verplichtingen/article-12-logging","api":"https://www.praxikon.com/api/v1/obligations?lang=en","official_source":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","citations":[{"kind":"official_fact","statement":"Article 12 requires high-risk AI systems to be technically capable of automatically recording events over their lifetime, for traceability, risk signalling and post-market monitoring; Article 19 and Article 26(6) govern log retention.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 12, Article 19 and Article 26(6)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"},{"kind":"official_fact","statement":"For the Annex III route this requirement applies from 2 December 2027; for high-risk AI in regulated products (Annex I) from 2 August 2028.","source_id":"praxikon:eu:ai-act:source:reg-eu-2026-1744","source_locator":"Amended Article 113 application dates","source_url":"https://eur-lex.europa.eu/eli/reg/2026/1744/oj","eli":"http://data.europa.eu/eli/reg/2026/1744/oj"},{"kind":"editorial_interpretation","statement":"Logging is the backbone of all other evidence: without logs an incident cannot be reconstructed and a monitoring duty cannot be fulfilled. Buyers should already test whether a system is technically capable of this.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 12, Article 19 and Article 26(6)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"},{"kind":"recommended_action","statement":"Include logging capability and log access as a requirement in every AI purchase and assign the retention regime (who, where, how long) per system.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 12, Article 19 and Article 26(6)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"}]},{"slug":"article-17-quality-management","label":"Article 17: quality management system","summary":"The documented quality system through which a high-risk AI provider structurally assures compliance.","legal_status":"upcoming","deadline_at":"2027-12-02T00:00:00.000Z","high_risk_regime_from":null,"human_page":"https://www.praxikon.com/en/verplichtingen/article-17-quality-management","api":"https://www.praxikon.com/api/v1/obligations?lang=en","official_source":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","citations":[{"kind":"official_fact","statement":"Article 17 requires a documented quality management system covering a compliance strategy, design and development procedures, data management, risk management, post-market monitoring, incident reporting and an accountability structure.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 17(1)-(3)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"},{"kind":"official_fact","statement":"For the Annex III route this requirement applies from 2 December 2027; for high-risk AI in regulated products (Annex I) from 2 August 2028.","source_id":"praxikon:eu:ai-act:source:reg-eu-2026-1744","source_locator":"Amended Article 113 application dates","source_url":"https://eur-lex.europa.eu/eli/reg/2026/1744/oj","eli":"http://data.europa.eu/eli/reg/2026/1744/oj"},{"kind":"editorial_interpretation","statement":"The QMS is the umbrella over all other provider duties: those with the separate files but no system connecting them fail exactly this article in an audit.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 17(1)-(3)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"},{"kind":"recommended_action","statement":"Build the QMS not as a separate document but as an index on top of the existing files (risk, data, documentation, monitoring) with owners per procedure.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 17(1)-(3)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"}]}],"conditional":[{"slug":"article-61-informed-consent","id":"praxikon:eu:ai-act:obligation:article-61-informed-consent","label":"Article 61: informed consent of test subjects for testing in real world conditions","status":"possibly_applies","source_locator":"Article 60(4), point (i), with Article 61(1)","addressee":"reader","human_page":"https://www.praxikon.com/en/verplichtingen/article-61-informed-consent"}],"sources":[{"id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","title":"EU Artificial Intelligence Act 2024/1689","publisher":"European Parliament and Council","canonical_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj","source_version":"original-oj-2024-07-12","verified_at":"2026-08-08T00:00:00.000Z"},{"id":"praxikon:eu:ai-act:source:reg-eu-2026-1744","title":"Digital Omnibus on AI 2026/1744","publisher":"European Parliament and Council","canonical_url":"https://eur-lex.europa.eu/eli/reg/2026/1744/oj","eli":"http://data.europa.eu/eli/reg/2026/1744/oj","source_version":"official-journal-2026-07-24","verified_at":"2026-08-08T00:00:00.000Z"},{"id":"praxikon:eu:ai-act:source:commission-draft-high-risk-classification-guidelines","title":"Draft guidelines on the classification of high-risk AI systems","publisher":"European Commission (AI Office)","canonical_url":"https://digital-strategy.ec.europa.eu/en/library/draft-commission-guidelines-classification-high-risk-ai-systems","eli":null,"source_version":"draft-for-consultation-2026-05-19","verified_at":"2026-08-08T00:00:00.000Z"},{"id":"praxikon:eu:ai-act:source:cen-cenelec-jtc21","title":"CEN-CENELEC JTC 21: European standards under standardisation request M/613","publisher":"CEN-CENELEC JTC 21","canonical_url":"https://www.cencenelec.eu/areas-of-work/cen-cenelec-topics/artificial-intelligence/","eli":null,"source_version":"work-programme-checked-2026-08-08","verified_at":"2026-08-08T00:00:00.000Z"}],"first_actions":[{"label":"Draw up a post-market monitoring plan","summary":"Systematically collect and analyse real-world data on the system’s performance and compliance throughout its lifetime."},{"label":"Justify the Article 6(3) exception against each individual condition","summary":"Name which of the four Article 6(3) conditions you invoke, with facts, and separately justify why the system poses no significant risk of harm to health, safety or fundamental rights and does not materially influence the outcome of decision making."},{"label":"Set up an incident process with reporting routes","summary":"Define what a serious incident is, assign the reporting route to the supervisor and rehearse the process."}],"evidence":[{"label":"Monitoring plan and reports","summary":"The plan as part of the technical documentation plus the periodic analyses and follow-up actions.","url":null},{"label":"Article 49(2) registration record for the system assessed as not high-risk","summary":"Proof that the system for which you invoke the Article 6(3) exception is registered as Article 49(2) requires, with the registration number linked to the underlying assessment.","url":null},{"label":"Incident register and reports","summary":"Record of incidents, analyses, reports to supervisors and corrective measures.","url":null}],"guidance":[{"label":"Article 6 has two separate routes to high-risk","statement":"The European Commission's draft guidelines on the classification of high-risk AI of 19 May 2026, which are expressly non-binding, state in paragraph (7) that an AI system is high-risk in two scenarios: first, where it is intended to be used as a safety component of a product, or is itself a product, covered by the Union harmonisation legislation listed in Annex I and required to undergo third-party conformity assessment; and second, where it falls within one of the use cases in the areas listed in Annex III. Paragraph (448) of those same draft guidelines notes that the Article 113 application dates have been postponed by the AI Omnibus to 2 December 2027 for the Article 6(2) route and 2 August 2028 for the Article 6(1) route.","source_locator":"Draft guidelines on high-risk AI classification (19 May 2026), General principles chapter, section II, paragraph (7); section V, paragraph (448)"},{"label":"Broadly positioned and general purpose AI systems: a disclaimer is not enough","statement":"According to the non-binding draft guidelines of 19 May 2026 on the classification of high-risk AI, paragraph (12) provides that where the instructions for use, contractual arrangements, terms of service, usage policy, promotional and sales materials or technical documentation present the AI system as broadly applicable across a generality of contexts and functions, and do not consistently limit its application or exclude high-risk uses, the system's intended purpose will be deemed to also encompass high-risk use cases and therefore qualify as high-risk. Under these draft guidelines this applies in particular where such uses are feasible and reasonably foreseeable given the system's functionalities and capabilities. The same paragraph states that merely asserting, for example in the terms of service, that high-risk uses are excluded is insufficient where the provider's overall presentation, examples or product positioning effectively provides for or promotes such uses, and that any limitations of use must be described clearly, concretely and coherently across all materials.","source_locator":"Draft guidelines on high-risk AI classification (19 May 2026), General principles chapter, section II.2, paragraph (12)"},{"label":"High-risk does not mean prohibited, and not high-risk does not mean permitted","statement":"The draft guidelines of 19 May 2026 on the classification of high-risk AI, which are not binding, state in paragraph (3) that the fact an AI system is listed as an example in these guidelines does not mean its use should automatically be considered lawful, since such use would still need to comply with other applicable legislation, and in paragraph (4) that the scope of these guidelines is limited to whether an AI system is high-risk or not. In the Annex III chapter of this draft, paragraph (68) states that classifying systems as high-risk under Article 6(2) does not mean their use is prohibited, but that those systems are subject to appropriate requirements. Paragraphs (82) and (83) of this draft explain the wording in so far as their use is permitted under relevant Union or national law and state that falling within a use case does not necessarily mean the system may lawfully be used in those cases, that in addition to the prohibitions other provisions of Union or national law may restrict use, and that under Article 2(9) the AI Act applies without prejudice to rules on consumer protection, product safety and data protection.","source_locator":"Draft guidelines on high-risk AI classification (19 May 2026), General principles chapter, paragraphs (3) and (4); Annex III chapter, paragraph (68) and section 2.6, paragraphs (82) and (83)"},{"label":"Split and agentic architectures are assessed as a whole","statement":"The non-binding draft guidelines of 19 May 2026 provide in paragraphs 75, 76 and 90 that where several AI systems form part of a more complex whole and their combined intended purpose or joint outputs materially influence an individual decision, that configuration is treated as a single AI system for classification. The draft expressly states that split architectures are assessed as a whole to prevent circumvention by system design, that exemptions for individual modules do not apply where the overall configuration influences key aspects of the decision, and that this also extends to complex interconnected setups such as agentic AI systems whose linked actions jointly serve a high-risk purpose. Under the same draft, strictly procedural or preparatory functions do remain eligible for exemption where they are genuinely separable from the system and do not structure or feed outputs that materially influence the examination of an individual case.","source_locator":"Section IV.2.3, paragraphs 75 and 76, and section IV.2.7.1 paragraph 90"}],"examples":[{"label":"Proctoring during exams: which real-world data the institution reports back","situation":"A vendor offers proctoring software that flags possible cheating during exams. Several universities of applied sciences use the system, each with its own assessment formats and its own student populations. The vendor wants to know which real-world data it must keep collecting after roll-out, and from whom.","outcome":"Article 72(1) requires providers to establish and document a post-market monitoring system, proportionate to the nature of the AI technologies and the risks of the system. Article 72(2) provides that this system actively and systematically collects, documents and analyses relevant data which may be provided by deployers or collected through other sources on the performance of high-risk AI systems throughout their lifetime, and which allow the provider to evaluate the continuous compliance of those systems with the requirements set out in Chapter III, Section 2. Where relevant, monitoring includes an analysis of the interaction with other AI systems. Article 72(3) provides that the system is based on a plan forming part of the technical documentation referred to in Annex IV.","lesson":"The duty sits with the provider, but the useful signals arise in education itself: unfounded suspicions, student complaints, differences between programmes and assessment formats. Our reading is that paragraph 2 allows deployers to supply that data while leaving the duty to collect and analyse it with the provider. What the article does not settle is the route by which the data reaches you, or whether the institutions are bound to supply it; that is something you have to arrange with them and cannot read out of Article 72. We would therefore fix that route before the system goes live, and would also set out in the plan how you break performance down by assessment format and by group, since an average across all schools hides precisely the pattern you are looking for.","source_locator":"Article 72(1)-(3)","provenance":"editorial"},{"label":"Candidate recommendation that automatically becomes a decision","situation":"An employer uses a system that ranks applicants and recommends a candidate to hire. In one setup a recruiter weighs that recommendation in their own assessment; in the other the outcome is applied automatically and a candidate is rejected without anyone looking at it.","outcome":"The Commission draft guidelines of 19 May 2026 address this case when determining whether an application falls under Annex III. The document is a consultation version: non-binding and not yet final.","lesson":"Assess a recruitment system on its intended purpose rather than on whether a recruiter reviews the output, because adding or removing human involvement does not change its high-risk classification.","source_locator":"Draft guidelines on high-risk AI classification, 19 May 2026, annex on Annex III","provenance":"official"},{"label":"Application file handling at an educational institution","situation":"An educational institution uses AI for application file handling: indexing, searching, text and speech processing, translation of documents submitted with applications, and extracting, transforming and organising the collected data into a usable format.","outcome":"The Commission draft guidelines of 19 May 2026 address this case when determining whether an application falls under Annex III. The document is a consultation version: non-binding and not yet final.","lesson":"Indexing, searching, translating and reorganising application files remains preparatory work, as long as the system leaves the substantive judgment on the application entirely to the institution.","source_locator":"Draft guidelines on high-risk AI classification, 19 May 2026, annex on Annex III","provenance":"official"},{"label":"Customs risk assessment of goods at the external border","situation":"An AI system is used by customs authorities to assess the risk that goods entering the EU do not comply with legislation applicable at the border, based on information about the economic operators concerned, such as container number, description of goods, routing, transport and payment method.","outcome":"The Commission draft guidelines of 19 May 2026 address this case when determining whether an application falls under Annex III. The document is a consultation version: non-binding and not yet final.","lesson":"Determine what your risk model actually targets, because if it concerns consignments and goods flows rather than personal aspects of individuals, there is no profiling to block the exemption.","source_locator":"Draft guidelines on high-risk AI classification, 19 May 2026, annex on Annex III","provenance":"official"}],"standards":[{"label":"EN 18286:2026: quality management system for EU AI Act regulatory purposes","summary":"The first completed European standard under the AI Act standardisation request: the quality management system that Article 17 requires from providers of high-risk AI systems.","statement":"EN 18286:2026 (Artificial intelligence: Quality management system for EU AI Act regulatory purposes) was drafted by CEN/CLC/JTC 21 under standardisation request M/613 and approved by CEN-CENELEC on 12 July 2026. It is the first JTC 21 deliverable to reach publication. According to a published coverage statement accompanying the standard, not yet confirmed by a second independent source, it addresses Article 17(1) points (a) to (m) and Article 11(1) first sentence, and expressly not Article 17(2) to (4) or Article 72. The standard is NOT currently cited in the Official Journal. The Article 40 presumption of conformity only attaches after that citation."},{"label":"EN ISO/IEC 42001: artificial intelligence management system","summary":"The certifiable organisation-level AI management system, a European standard since 2026, but not a harmonised standard under the AI Act.","statement":"ISO/IEC 42001:2023 is the first certifiable international standard for an AI management system, published on 18 December 2023 and structured on the plan-do-check-act cycle. The text was adopted unchanged as EN ISO/IEC 42001:2026, approved by CEN on 13 March 2026, with national implementation by the member standards bodies. This adoption is not a deliverable under standardisation request M/613: the standard is not cited in the Official Journal and therefore confers no presumption of conformity under Article 40. For Article 17, the designated deliverable under M/613 is EN 18286:2026; that standard is likewise not cited in the Official Journal."},{"label":"prEN 18229-1: AI trustworthiness framework part 1, logging","summary":"The draft European standard for the automatic event recording that Article 12 requires of high-risk AI systems.","statement":"prEN 18229-1 (AI trustworthiness framework, Part 1: Logging) is the JTC 21 deliverable under M/613 for Article 12 of the AI Act: high-risk AI systems must technically allow for the automatic recording of events over their lifetime. As at June 2026 the deliverable was at the Enquiry stage. It has not yet been published as an EN and is not cited in the Official Journal."}],"definitions":[],"answer_page":"https://www.praxikon.com/en/antwoord/monitoring-na-livegang","follow_up_questions":[{"question":"Do we have to keep logs of our AI system?","url":"https://www.praxikon.com/en/antwoord/logs-bewaren"},{"question":"Do we have to report serious incidents with our AI system?","url":"https://www.praxikon.com/en/antwoord/incidenten-melden"},{"question":"We build an AI product for customers. What are a provider’s duties?","url":"https://www.praxikon.com/en/antwoord/ai-product-bouwen"}],"disclaimer":"General interpretation, not legal advice. The official source remains authoritative.","methodology":"https://www.praxikon.com/en/methodologie"}