Artifact GuideEU

EU AI Act Post-Market Monitoring and Serious Incidents

Use this page to turn Articles 72 and 73 into a working high-risk AI monitoring and incident workflow.

Covers provider monitoring plans, deployer escalation, reporting clocks, corrective action, cooperation with authorities and notified bodies, and the separate GPAI systemic-risk route.

Author
Sorena AI
Published
May 9, 2026
Updated
May 9, 2026
Sections
5

Structured answer sets in this page tree.

Primary sources
3

Cited legal and guidance references.

Publication metadata
Sorena AI
Published May 9, 2026
Updated May 9, 2026
Overview

Articles 72 and 73 of the EU AI Act are high-risk AI system obligations. Article 72 requires providers to establish and document a proportionate post-market monitoring system based on a monitoring plan in the technical documentation. Article 73 requires providers of high-risk AI systems placed on the Union market to report serious incidents to the market surveillance authorities of the Member States where the incident occurred.

Section 1

Article 72: build the post-market monitoring system around evidence, not a calendar reminder

The provider's Article 72 system must actively and systematically collect, document, and analyse relevant data about high-risk AI system performance throughout the system lifetime. The data may come from deployers or other sources and must allow the provider to evaluate continuous compliance with the Chapter III, Section 2 high-risk requirements.

The monitoring plan is part of Annex IV technical documentation, so it should be versioned with the system description, intended purpose, risk management file, testing evidence, change history, instructions for use, and EU declaration of conformity. Treat deployer feedback, support tickets, operational logs, drift metrics, bias or discrimination signals, cybersecurity signals, near misses, and complaints as inputs to a monitored compliance file, not only as customer-success data.

  • Scope the plan to each high-risk AI system, its intended purpose, deployment context, known limitations, expected performance metrics, and foreseeable misuse.
  • Define data sources: deployer reports, logs under provider control, incident tickets, complaints, model or data drift checks, security events, human-oversight escalations, and third-party component notices.
  • Set triage criteria that separate routine performance degradation, non-conformity, Article 79 risk, substantial modification, and potential Article 73 serious incident.
  • Link every monitoring finding to a decision: no action, provider investigation, deployer instruction update, corrective action, notified-body contact, authority notification, withdrawal, disabling, or recall.
  • Keep law-enforcement deployer limitations in view: Article 72 excludes sensitive operational data of law-enforcement deployers from the monitoring obligation.
Section 2

Article 73: serious incident reporting starts from causal-link and awareness evidence

Article 73 applies to providers of high-risk AI systems placed on the Union market. The provider reports any serious incident to the market surveillance authorities of the Member States where the incident occurred. The default outer limit is 15 days after the provider or, where applicable, the deployer becomes aware of the serious incident, but the report is due immediately after the provider establishes a causal link or reasonable likelihood of a causal link between the AI system and the incident.

The shorter clocks matter. A widespread infringement or a serious incident involving serious and irreversible disruption of critical infrastructure must be reported immediately and no later than two days after awareness. Death must be reported immediately after the provider or deployer establishes or suspects a causal relationship, and no later than 10 days after awareness. Where necessary for timely reporting, Article 73 allows an incomplete initial report followed by a complete report.

  • Use the Article 3(49) definition to triage: death or serious health harm, serious and irreversible disruption of critical infrastructure, infringement of Union-law fundamental-rights obligations, or serious property or environmental harm.
  • Record awareness time, source of awareness, causal-link analysis, affected Member State, severity category, and the reporting deadline selected.
  • Prepare an initial report path for cases where facts are incomplete but the Article 73 clock requires timely notice.
  • After reporting, run the required investigation without delay, including incident risk assessment and corrective action.
  • Do not alter the AI system in a way that may affect later cause evaluation before informing competent authorities of that action.
Section 3

Provider corrective action and notified-body cooperation must be wired into the incident workflow

Article 20 sits next to Articles 72 and 73 in practice. If a provider considers, or has reason to consider, that a high-risk AI system it placed on the market or put into service is not in conformity, it must immediately take necessary corrective actions to bring it into conformity, withdraw it, disable it, or recall it as appropriate. It must also inform distributors and, where applicable, deployers, the authorised representative, and importers.

Where the system presents an Article 79 risk and the provider becomes aware of it, the provider must investigate causes, collaborating with the reporting deployer where applicable, and inform the competent market surveillance authorities and, where applicable, the notified body that issued a certificate. If the conformity route used Annex VII, notified-body touchpoints may also include approved quality-management changes, technical-documentation changes, certificate restrictions, or additional tests.

  • Keep one escalation record that joins monitoring signal, incident triage, non-conformity analysis, Article 79 risk analysis, corrective action, and external notifications.
  • Name who can approve disabling, withdrawal, recall, deployer notice, importer or distributor notice, authority report, and notified-body communication.
  • Preserve system state, logs, model version, data version, instructions for use, deployment configuration, and human-oversight records before making remediating changes.
  • When a notified body issued a certificate, track whether the event affects certificate scope, technical documentation, quality-management-system approval, or intended purpose.
  • Close the loop by updating the Article 72 monitoring plan and risk management file with lessons from serious incidents, near misses, and corrective actions.
Section 4

Deployer escalation is part of the monitoring system

Article 26 makes deployers an early-warning source for provider monitoring and incident reporting. Deployers must monitor operation on the basis of the instructions for use and, where relevant, inform providers under Article 72. If they have reason to consider that use in accordance with instructions may result in Article 79 risk, they must without undue delay inform the provider or distributor and the relevant market surveillance authority, and suspend use.

If a deployer identifies a serious incident, it must immediately inform first the provider, then the importer or distributor and relevant market surveillance authorities. If the deployer cannot reach the provider, Article 73 applies mutatis mutandis. The contract, support process, and instructions for use should therefore give deployers a direct serious-incident route, not only a general support inbox.

  • Put monitoring and incident escalation instructions in deployer-facing documentation, including what evidence to preserve and which contact channel to use.
  • Require deployers to record the system version, use case, input category, output, human-oversight decision, affected persons or groups, logs under their control, and immediate mitigation taken.
  • Create a separate path for suspected Article 79 risk that requires suspension of use even before a full Article 73 serious-incident report is complete.
  • For public-authority deployers and workplace deployments, align incident escalation with their registration, worker-information, DPIA, and authority-cooperation obligations where applicable.
  • State how sensitive law-enforcement operational data will be protected while still enabling required safety and market-surveillance escalation.
Section 5

Do not confuse high-risk AI Article 73 reporting with GPAI systemic-risk incident reporting

The Commission's serious-incident template for general-purpose AI models with systemic risk is useful as a comparison point, but it is not the Article 73 route for high-risk AI systems. For GPAI models with systemic risk, Article 55(1)(c) requires providers to keep track of, document, and report relevant information about serious incidents and possible corrective measures to the AI Office and, as appropriate, national competent authorities.

A company can face both regimes when it provides a GPAI model and also places a high-risk AI system on the Union market, or when a high-risk AI system is built on a GPAI model. Keep the records connected but legally separated: Article 72 and 73 for the high-risk AI system and Article 55 for the GPAI model with systemic risk.

What is the first practical step for Article 72 post-market monitoring?

Create a system-specific monitoring plan in the technical documentation that defines data sources, deployer feedback routes, performance and risk signals, triage criteria, owners, records, and links back to risk management and corrective action.

When does Article 73 serious incident reporting become urgent?

It is urgent once the provider establishes a causal link or reasonable likelihood of a causal link between the high-risk AI system and a serious incident. The outer deadline is generally 15 days after awareness, but some incidents require reporting within two days or 10 days.

What should deployers do if they identify a serious incident?

They should immediately inform the provider first, then the importer or distributor and relevant market surveillance authorities. If the provider cannot be reached, Article 73 applies mutatis mutandis.

  • Route high-risk AI system serious incidents to the Member State market surveillance authorities where the incident occurred under Article 73.
  • Route GPAI systemic-risk serious incident information to the AI Office and, where appropriate, national competent authorities under Article 55.
  • For GPAI incidents, the Commission template asks for start and end dates, harm, chain of events, model involved, evidence, response, recommendations, root cause analysis, monitoring patterns, and submitter information.
  • Avoid reusing a GPAI template as the only Article 73 procedure; high-risk AI Article 73 has its own timing, authority recipients, deployer escalation, and post-report investigation requirements.
  • When one event implicates both a model and a deployed high-risk system, preserve a shared factual chronology and separate legal reporting decisions for each route.
Recommended next step

Build a monitoring and serious-incident route that product teams can use

Sorena can help map your high-risk AI systems, deployer channels, incident triage, corrective-action records, and authority reporting evidence against the cited AI Act sources.

Primary sources

References and citations

ec.europa.eu
Referenced sections
  • Commission GPAI report form listing fields such as harm, chain of events, evidence, response, root cause analysis, monitoring patterns, and submitter information.
"Patterns in post-market monitoring on serious incidents"
eur-lex.europa.eu
Referenced sections
  • Article 55(1)(c) creates the separate serious-incident and corrective-measure duty for GPAI models with systemic risk.
"general-purpose AI models with systemic risk"
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