Guides · AI Act

What the EU AI Act asks of a deployer

A company using AI has responsibilities of its own, even when a vendor built the system. Which duties apply depends on what the system does, the company’s role and whether the use is high-risk. Some requirements already apply. The longer checklist for high-risk deployers follows a different timetable.

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An agent that matches supplier invoices and an agent that filters job applicants may run on the same platform. That does not give them the same obligations under the EU AI Act. The purpose of the work matters, as does the part your company plays in providing or using the system.

For an operations team, the starting questions are practical. Are we a deployer, a provider, or both? Is this use high-risk? What must we do now, and what evidence will we need when the remaining rules apply?

We covered the broader picture in the rulebooks arriving around AI. This article takes the deployer’s side: the organisation using an AI system under its authority. It focuses on recurring business work, not the specialist rules for law enforcement or every product-safety regime.

Are you a deployer or a provider?

A deployer uses an AI system under its authority, outside purely personal, non-professional activity. Buying a vendor’s system and using it for its documented purpose will often put your company in that role.

A provider develops a system, or has one developed, and places it on the market or puts it into service under its own name or trademark. You do not have to train the underlying model or sell software to other companies to qualify. Commissioning a system for your own use can also matter. These are the definitions in Article 3.

The roles attach to the system and the activity. A company can be a deployer of one system and the provider of another. Buying an agent platform does not, by itself, settle the status of everything built on it.

Article 25 identifies three circumstances in which a deployer or another party takes on the obligations of a high-risk system provider:

  • Putting its own name or trademark on an existing high-risk system, subject to the provision concerning contractual allocation of obligations.
  • Substantially modifying an existing high-risk system in a way that leaves it high-risk.
  • Changing the intended purpose of a system that was not high-risk so that it becomes high-risk.

Routine configuration is not automatically a substantial modification. Equally, a change described internally as “just a new workflow” may change the intended purpose. Extending a document assistant into applicant screening deserves a fresh assessment before it goes live.

Settle it in the contract

The contract should address who provides the system, its intended purpose, permitted changes, access to documentation and what happens if the role or classification changes. Article 25 recognises contractual allocation in the name-and-trademark case. That is not a general right to contract out of the Act.

Is the work high-risk?

An agent is not high-risk simply because it acts autonomously. Nor is it outside the high-risk rules because someone approves its output.

There are two main routes under Article 6. One concerns certain products and safety components covered by the legislation in Annex I, where the relevant third-party conformity assessment condition is met. The other concerns the uses listed in Annex III, including particular applications in employment, education, essential services, biometrics and critical infrastructure.

For many operations teams, Annex III is the more immediate question. Screening job applicants, evaluating the creditworthiness of individuals, and risk assessment or pricing for life and health insurance are listed uses. Matching supplier invoices or chasing a delivery date will not normally fall within those categories on that description alone.

There are limited exceptions for some Annex III systems under Article 6(3), including certain narrow procedural or preparatory tasks that do not pose a significant risk. These are conditions to assess, not labels to apply casually. Annex III systems that profile natural persons are always treated as high-risk under that provision.

Ask the provider for the intended purpose and classification, then compare those with what you actually plan to do. Record the decision and the reasons. If the work changes, revisit it.

This is related to, but separate from, whether the work is suitable for an AI agent. A process can be legally permissible and still be too expensive to check or too difficult to supervise.

What applies now, and what was delayed?

The Digital Omnibus on AI, Regulation (EU) 2026/1744, amended the AI Act in July 2026. It postponed specified high-risk provisions, not the whole Act. The Council’s adopted text sets out the changes to Articles 111 and 113.

ProvisionApplies fromWhat to check
Article 4
AI literacy
2 Feb 2025Wording amended in July 2026. Measures supporting the AI literacy of staff and others using AI on your behalf
Article 5
prohibitions
2 Feb 2025Whether a practice is prohibited, before considering controls or disclosure
Article 50
transparency
2 Aug 2026Which duty applies, and whether it is yours or the provider’s. Some have exceptions
Chapter III
Sections 1 to 3
2 Dec 2027Annex III high-risk systems, except Article 6(5). Classification, system requirements, and the Article 26 and 27 duties
Chapter III
Sections 1 to 3
2 Aug 2028The same provisions for Article 6(1) and Annex I systems, with the applicable product rules

These are general dates. Amended Article 111 contains transitional rules for high-risk systems already placed on the market or put into service before the relevant Chapter III date, including conditions concerning significant design changes. Establish which rules apply to the particular system rather than treating December 2027 as a universal deadline for every existing deployment.

AI literacy still requires action

The amended Article 4 requires measures to support the development of AI literacy. It does not require a guaranteed level for every individual. Training and guidance should reflect the people, the systems and the context of use. Keep a record of what was provided and why it was appropriate. The Commission’s AI literacy questions and answers explains the amended approach.

Transparency depends on the use and the role

Article 50 separates provider duties from deployer duties. Providers must design systems intended to interact directly with people so that people know they are dealing with AI, unless that is already obvious in the circumstances. Providers also carry the machine-readable marking obligation for synthetic content.

Deployers have specific duties for emotion recognition and biometric categorisation, deepfakes, and AI-generated or manipulated text published to inform the public on matters of public interest. The public-interest text duty has an exception where there is human review or editorial control and a person or organisation holds editorial responsibility. Special rules also apply to evidently artistic, creative, satirical or fictional deepfakes. See Article 50.

For an existing generative system placed on the market before 2 August 2026, the provider’s Article 50(2) marking deadline is 2 December 2026. That transition does not postpone the deployer’s own disclosure duties.

The Omnibus also adds prohibitions concerning specified non-consensual sexual or intimate content and child sexual abuse material from 2 December 2026. A disclosure cannot make a prohibited use lawful.

The GDPR, employment rules and applicable sector requirements continue alongside the AI Act. The high-risk deferral does not suspend them.

What does Article 26 require of a high-risk deployer?

Once Article 26 applies to your system, its main requirements concern how the work is used, supervised and monitored. The following is a practical summary, not a replacement for the full provision or its sector-specific conditions.

AreaWhat the deployer must doArticle
UsePut technical and organisational measures in place to use the system according to the provider’s instructions26(1)
OversightAssign oversight to people with the competence, training, authority and support to exercise it26(2)
Input dataWhere the deployer controls the input data, ensure it is relevant and sufficiently representative for the intended purpose26(4)
MonitoringMonitor operation, act on relevant risks, suspend use where required, and make the required notifications26(5)
LogsRetain automatically generated logs under the deployer’s control for an appropriate period of at least six months, unless applicable law provides otherwise26(6)
WorkersBefore workplace use, inform affected workers and their representatives that they will be subject to the high-risk system26(7)
RegistrationWhere the deployer is a public authority or acts on its behalf, fulfil the applicable registration and database-checking duties26(8)
Data protectionWhere a data protection impact assessment is required, use the provider’s information to support it26(9)
Affected peopleFor relevant Annex III systems making or assisting decisions about individuals, inform those individuals that the system is being used26(11)
AuthoritiesCooperate with competent authorities on action concerning the system26(12)

The full wording is in Article 26. Having somebody available to approve an output is not enough if they cannot understand the limitations, obtain the relevant information or stop the work.

Article 27 adds a fundamental rights impact assessment for specified deployers and uses. It covers bodies governed by public law, private entities providing public services, and deployers of the listed creditworthiness and life or health insurance systems. The provision excludes the Annex III critical-infrastructure category. It is not an assessment required of every private company using high-risk AI.

Where required, the assessment precedes first use, must be kept current, and its results must be notified as specified. The Omnibus permits cross-references to relevant parts of an existing data protection impact assessment, or their inclusion in the fundamental rights assessment. It does not remove the assessment. See Article 27 and its amendments.

Six months is a retention period

Article 26(6) concerns how long the relevant logs must be retained once the duty applies. It does not require six months of historical logs to exist on the first day.

Starting earlier can help you test monitoring and investigate failures, but it should be a deliberate operating decision. Set the retention period, access permissions and deletion rules together, taking account of applicable personal-data requirements.

What happens when an incident is found?

When Article 26(5) applies, a deployer identifying a serious incident must immediately inform the provider, then the importer or distributor and the relevant market surveillance authorities. If the provider cannot be reached, Article 73 applies to the deployer with the necessary adaptations.

For a risk of the kind specified in Article 26(5), the duty includes informing the relevant parties without undue delay and suspending use. Not every incorrect output is a legally defined serious incident, but the team needs a route for assessing one without waiting for a monthly review.

Article 73 primarily sets the provider’s reporting requirements. Its general outer limit is 15 days after awareness, with shorter limits of 10 days for a death and two days for a widespread infringement or the specified serious disruption of critical infrastructure. Those limits sit alongside requirements to report immediately at the relevant trigger. They are not permission for a deployer to wait before notifying under Article 26.

The Commission’s incident-reporting material includes draft guidance. Base the incident procedure on the statutory triggers and check the status of any guidance before relying on it.

Before launch, agree who receives an alert, who can suspend the system, how the provider is contacted and who makes any required notification. Test that route. Logs may establish what happened, but they do not contact the right people on their own.

Can a person ask why the AI influenced a decision?

Article 86 gives affected people a right to a clear and meaningful explanation in defined circumstances. It concerns decisions based on outputs from Annex III high-risk systems, except the critical-infrastructure category, which have legal or similarly significant effects and are considered by the person to adversely affect their health, safety or fundamental rights.

The explanation must cover the AI system’s role and the main elements of the decision. The provision includes exceptions and applies only to the extent that the right is not already provided under other EU law.

Article 86 was not expressly included in the postponement of Chapter III, Sections 1 to 3. A reading of that amendment alone therefore leaves the general 2 August 2026 date in place. How the provision interacts with deferred classification rules and transitional treatment needs to be assessed for the particular system. Do not assume that a later Article 26 date also postpones every explanation duty.

Operationally, retain the information needed to explain the decision: the relevant facts, criteria, system output and human involvement. A technical event log may help locate that evidence. It is not necessarily a meaningful explanation to the person affected.

What should the operating record contain?

Take one agent role and ask whether someone outside the team could establish the following from the records you keep:

What they should be able to establish

One agent role · six checks

  1. Purpose and roles.What the agent is used for, its classification, and who provides and deploys it.
  2. Oversight.Who oversees it, what training they received, and what authority they have to intervene.
  3. The case.What happened in a given case, which checks ran, and what a person approved or changed.
  4. Notices and assessments.Which of them were required, and whether they were completed.
  5. Incidents.What happened after a risk or incident was detected, including suspension and notifications where required.
  6. Changes.What changed in the system or its purpose, and what was reviewed before the change took effect.

This is an operating checklist, not a claim that the Act requires one standard file containing all six items. Some records belong with the agent platform; others belong with the process owner, HR, privacy or legal team.

This is where Aitonomy’s work fits. The Scan and our team establish the intended work, the systems involved and the gaps in the available evidence. Where classification or a change in legal role needs assessment, we prepare the technical and operational information for the customer and its advisers.

In production, Aitonomy Control holds the operating evidence: agent activity, approvals, checks and the history of changes and supervision decisions. Our team uses that record to investigate problems and bring decisions to the customer’s accountable process owner. The supervision levels set out how authority is earned and reduced. They support human oversight; they are not a substitute for all of Article 26.

Control does not, by itself, complete an impact assessment, notify workers or determine whether a configuration makes someone a provider. The required logs, access and retention also need to be checked for the actual deployment. Those responsibilities have to be assigned, not assumed to be covered by buying a platform.

Start with the agent you already run or are considering. Record its purpose and the parties’ roles, establish which duties apply, and test whether the responsible people can retrieve the evidence and act on it. That work is useful before a deadline because it is also what allows you to run an agent responsibly in production.

Common questions

Does the EU AI Act apply to a company that only uses AI?+
Yes, where the company and its use fall within the Act’s scope. Using AI under your authority generally makes you a deployer. AI literacy, prohibitions and relevant transparency duties already apply. The additional Article 26 duties concern high-risk systems, with separate application dates and transitional rules.
Can a company be both an AI provider and a deployer?+
Yes. The roles depend on the system and activity. A company may use one vendor’s system as a deployer and provide another system under its own name. Commissioning development, rebranding a high-risk system or changing its purpose can affect the analysis. Buying a platform does not settle the role.
Are AI agents automatically high-risk under the AI Act?+
No. Classification depends on the intended purpose and the conditions in Article 6, not the agent label or its level of autonomy. Applicant screening and certain credit or insurance uses are listed in Annex III. Routine invoice matching usually is not, on that description alone. A human approval step does not automatically remove high-risk status.
Which AI Act deployer duties were delayed?+
The relevant Chapter III, Sections 1 to 3 duties, including Article 26, apply from 2 December 2027 for Annex III high-risk systems and 2 August 2028 for Article 6(1) and Annex I systems, subject to transitional rules. The delay does not generally postpone AI literacy, existing prohibitions or Article 50 transparency duties.
How long must a deployer keep AI system logs?+
When Article 26(6) applies, automatically generated logs under the deployer’s control must be kept for a period appropriate to the purpose and at least six months, unless applicable EU or national law provides otherwise. This is a retention rule, not a requirement to have six months of history before the duty begins.

Sources and scope

Mik Nijhuis

Co-founder and Chief AI Officer

Mik has architected enterprise systems for ABN AMRO, Aegon and Shell. He builds agent systems that add throughput without removing the controls complex organisations need.

Aitonomy builds and runs agent roles for recurring business work, supervised in production and measured against a baseline agreed before the first live case.What we do

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