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Plan Plug-and-play starting point AI & Automation

Plan: EU AI Act Post-Market Monitoring Plan for a High-Risk AI System (Article 72)

A plug-and-play post-market monitoring plan for a high-risk AI system under Article 72 of the EU AI Act: what data is collected and from where, review cadence, drift and performance signals, the link to the Annex IV technical documentation and to any existing sector post-market surveillance, roles, and thresholds, with a filled specimen.

Document type: Plan

Read and copy the template below into your own quality system. It is a generic starting point for your own internal use, provided as is, with no warranty; see the Terms and License. Adopting it does not by itself create compliance.

This is a ready-to-use post-market monitoring plan for a high-risk AI system under Article 72 of the EU AI Act (Regulation (EU) 2024/1689). It is written to be referenced from section 9 of the Annex IV technical documentation dossier, of which it forms a part, and to feed the tiered clock in the serious incident reporting SOP when a monitoring signal turns out to be a serious incident. Replace every <<FILL: ...>> placeholder with your own specifics. A worked filled specimen follows. This is general guidance to adapt, not legal or regulatory advice; confirm the Article 72 text and any Commission-adopted template or implementing act against current sources before issue.

Document control header

FieldEntry
Plan number<<FILL: PMM-AI-ID>>
System name and version<<FILL>>
Linked classification record<<FILL: reference confirming high-risk status and route>>
Linked technical documentation dossier<<FILL>>
Owner<<FILL: AI Governance Lead / Data Science>>
QA / Regulatory approval and date<<FILL>>
Live since<<FILL: date monitoring started>>

1. Scope and objective

To actively and systematically collect, document, and analyse relevant data on this system’s performance across its lifetime, so the provider can keep confirming the system still meets the high-risk requirements it was assessed against, and can detect degradation, drift, or an unforeseen risk before it becomes a serious incident. This plan is not a one-time validation exercise; it runs for as long as the system is in service.

2. Integration with existing sector monitoring

Where this system already sits inside another sector’s post-market surveillance framework, most commonly MDR or IVDR post-market surveillance for a device constituent of a combination product, state whether this plan is integrated into that framework or run in parallel with an explicit cross-reference.

QuestionAnswer
Is this system also subject to MDR/IVDR post-market surveillance?<<FILL: Yes / No>>
If yes, is monitoring integrated into a single plan (Article 72(4)) or run as two coordinated plans?<<FILL>>
Reference to the other plan<<FILL: or "not applicable">>

3. Data sources

SourceWhat it providesAccess / feed
Deployer-reported performance data<<FILL: e.g. field accuracy against confirmed outcomes>><<FILL>>
System logs (automatic record-keeping under Article 12)<<FILL: inputs, outputs, confidence scores, overrides>><<FILL>>
Complaints and incident intake<<FILL>><<FILL: link to the intake process feeding the serious-incident procedure>>
Human-oversight override records<<FILL: rate and reason a human overrode or rejected the system's output>><<FILL>>
Interaction with other AI systems, where relevant<<FILL: or "not applicable">><<FILL>>

4. Signals monitored, thresholds, and cadence

SignalWhat it detectsThresholdCadenceOwner
Performance vs the technical documentation baselineDegradation from what was assessed<<FILL>><<FILL: monthly / quarterly>><<FILL>>
Input data distribution vs training/validation dataData drift, the system seeing a population it was not built for<<FILL>><<FILL>><<FILL>>
Human-oversight override rateEarly, cheap signal of degradation, often moves before a formal metric does<<FILL>><<FILL>><<FILL>>
Subgroup performance, where subgroups are meaningful for this systemA localised failure hiding inside an acceptable aggregate number<<FILL>><<FILL>><<FILL>>
Complaints and incident volume tied to this systemHarm and use-error signals<<FILL>>Continuous intake, reviewed at each cycle<<FILL>>

5. Defined response when a threshold trips

State the response before a signal ever trips; deciding it after the fact is the most common failure mode this plan exists to prevent.

SignalAction thresholdDefined response
<<FILL>><<FILL>><<FILL: who is notified same day; whether the system is paused, restricted, or escalated to fuller human review; how the event is investigated; whether it triggers the serious-incident assessment>>

At every review cycle, and immediately on any signal above its action threshold, assess whether the event meets the Article 73 definition of a serious incident, an incident or malfunction directly or indirectly causing death, serious harm to health, serious and irreversible disruption to critical infrastructure, infringement of fundamental-rights obligations, or serious harm to property or the environment. If it does, hand off immediately to the serious incident reporting SOP; do not let the monitoring review cycle’s normal cadence delay that handoff, since the reporting clock starts when a causal link is established, not at the next scheduled review.

7. Roles

RoleResponsibility
AI Governance / plan ownerOwns the plan, the review cadence, and escalation
Data ScienceRuns the performance and drift analyses, investigates signals
QualityConfirms the monitoring evidence is a controlled, retained record and feeds it into the technical documentation
Regulatory AffairsAssesses whether a signal changes the risk classification or triggers a new conformity activity
System owner / deployer liaisonCollects deployer-reported data and feeds it into the plan

8. Records and retention

Every monitoring cycle produces a controlled, retained, reviewable record: the data reviewed, the result against each threshold, any signal raised, the response taken, and the disposition. Retain per your records retention schedule, for not less than <<FILL: retention period>>. The monitoring evidence must be reconstructable end to end and must be reflected in the linked technical documentation dossier, not kept as a disconnected file.

9. Acceptance criteria

  • Monitoring is live from before the system enters the field, not retrofitted after a problem surfaces.
  • Data sources, signals, thresholds, and cadence are all named, not left generic.
  • A defined response exists for every threshold before it is ever tripped.
  • The handoff to serious-incident assessment is explicit and does not wait for the next scheduled review.
  • Where an existing sector monitoring framework applies, the two are integrated or explicitly coordinated, not silently duplicated.
  • Every cycle produces a controlled, retained record referenced from the technical documentation.

10. References

Regulation (EU) 2024/1689 (EU AI Act): Article 72 (post-market monitoring by providers) and Article 72(4) (integration with existing sector post-market surveillance); Annex IV, point 9; Article 12 (record-keeping) as the log source; Article 73 (serious incident reporting) for the handoff trigger. Confirm the Commission’s implementing act and published template for the post-market monitoring plan (required under Article 72 by 2 February 2026) against the current AI Act service desk before finalising your plan’s structure. Applicable sector post-market surveillance requirements (for example MDR/IVDR) where this system is also a device constituent.

11. Revision history

VersionDateAuthorSummary of change
<<FILL: 1.0>><<FILL>><<FILL>>Initial issue.

12. Approvals

RoleNameSignatureDate
Author<<FILL>>
Reviewer (Quality)<<FILL>>
Approver (Regulatory)<<FILL>>

Filled specimen (excerpt)

Illustrative for an example deviation-severity triage model used across multiple manufacturing sites, later determined to be Annex III high-risk because a subsequent redesign let it auto-close low-severity deviations without human review (a role-changing event under change control).

FieldEntry
SystemDeviation-severity triage and auto-close model
Data sourcesSystem logs (Article 12 record-keeping), quarterly deployer performance data from each site, override log from the QA reviewers who can reopen an auto-closed deviation
SignalOverride / reopen rate on auto-closed deviations
ThresholdAlert at a 5 percent relative rise over 30 days; action at a 12 percent relative rise
Response when trippedNotify AI Governance and Quality same day; pull the last 90 days of auto-closed deviations for the affected site; pause auto-close at that site pending review; assess whether any incorrectly auto-closed deviation caused downstream harm
Worked eventThe override rate crossed the action threshold at one site after a process change altered the deviation-text patterns the model was trained on. The team paused auto-close at that site within the day, confirmed three deviations had been incorrectly closed with no patient or product impact, retrained the model on the new pattern set, and updated the technical documentation lifecycle-changes log. No threshold in the Article 73 serious-incident definition was met, so no external report was filed, but the finding was documented in full as monitoring working as intended.

Common findings this plan prevents

  • A monitoring plan that exists on paper but collects no data, so degradation is discovered by complaint rather than by design.
  • Thresholds with no defined response, so a signal triggers debate rather than action.
  • Monitoring evidence kept separate from the technical documentation, so the dossier goes stale relative to what the system actually does.
  • No explicit handoff to serious-incident assessment, so a qualifying event is found weeks later during a routine review instead of on the day the causal link was established.
  • Aggregate-only reporting that hides a single failing site or subgroup.

How to adapt this plan

  1. Name real data sources and a real cadence; a placeholder cadence is not a monitoring system.
  2. Set thresholds and the exact response before the system enters the field.
  3. Link section 6 firmly to the serious-incident SOP so the clock never starts late.
  4. Where a sector post-market surveillance plan already exists, state the integration explicitly rather than leaving two silent, possibly conflicting plans.
  5. Confirm the current Commission-published template and any implementing act before finalising the plan’s structure.
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