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Article 26 — Deployer Obligations

Deployers of high-risk AI must use the system per the provider's instructions, assign competent human oversight, monitor operation, retain logs, and inform employees and affected persons.

Audit-survivable
38%
of 50 EU-exposed enterprises in MindMap's 2026 readiness benchmark

What the Article requires

Article 26 sets the obligation stack for high-risk AI deployers (the customer using the system, not the provider building it). Use systems per instructions for use; assign human oversight to natural persons with the competence, training and authority needed; monitor operation; report serious incidents to providers; retain auto-generated logs for at least six months; inform employees who will be subject to the AI, and affected persons of natural persons subject to AI-supported decisions.

In engineering terms

Compared to provider obligations under Articles 9-15, deployer obligations are tractable — most enterprises can satisfy them with proportionate governance: a competent oversight function, log retention discipline, and clear staff communications. The risk is Article 25 conversion (see Article 25) — many self-perceived 'deployers' have Article 25 triggers they haven't catalogued.

Compliance checklist

  • ✓Use of high-risk AI conforms to provider's instructions
  • ✓Named human-oversight roles with documented competence
  • ✓Log retention (minimum 6 months) operationalised
  • ✓Serious-incident reporting workflow to providers
  • ✓Employee and affected-person notifications in place

Terms used here

EU AI ActAnnex III high-risk AI

All Articles in the reference · The EU AI Act compliance architecture

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The EU AI Act Readiness Kit puts this checklist, and the other 13 Articles', into one fill-in PDF with room for an owner, evidence location and target date on every item. Plus an AI system inventory, a classification record, an Annex IV outline and a FRIA template.

  • 01How to use this kit. Four steps, and which checklists apply to each classification result.
  • 02AI system inventory. One row per AI system: owner, what it does, built or bought, your role and its classification.
  • 03Classification record. The five questions from our applicability checker, with space for answers, notes and the result.
  • 04Evidence checklists. 72 evidence items across Articles 9 to 15, 25, 26, 27, 50, 53, 55 and 72, each with an owner, evidence location and target date.
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