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Buying an AI tool does not, by itself, tell you which EU AI Act duties apply. A company must assess each system and use case, identify its legal role, classify the use, and then apply the obligations and deadlines for that category. The same organization can be a deployer for one system, a provider for another, and subject to different rules when it substantially modifies or redistributes a tool.
This guide reflects the European Commission’s implementation timeline and guidance available on 13 October 2026. It is general information, not legal advice for a particular company. The AI Act operates alongside data-protection, employment, consumer-protection, product-safety, cybersecurity and national rules.
Which EU AI Act dates matter to an adopting company?
The Act entered into force on 1 August 2024, but its requirements are phased. The Commission’s current timeline was amended after the Digital Omnibus political agreement in May 2026 and its entry into force on 27 July 2026. Older articles that repeat an August 2026 deadline for all high-risk systems are out of date.
| Date | What applies | What an adopting company should do |
|---|---|---|
| 2 February 2025 | General provisions, including AI literacy and prohibited practices, began to apply. | Put basic literacy measures in place and screen uses for prohibited practices. |
| 2 August 2025 | Governance rules and obligations for general-purpose AI (GPAI) models began to apply. | Check what documentation and information upstream model providers supply, especially where you integrate or modify a model. |
| 2 August 2026 | Most remaining provisions apply, including Article 50 transparency rules. Enforcement starts for applicable prohibitions, GPAI obligations, transparency requirements and AI-literacy duties. | Make required notices, content marking and governance controls operational before deploying covered uses. |
| 2 December 2026 | Additional prohibitions concerning generation or manipulation of non-consensual intimate material and child sexual abuse material apply. A transition deadline also covers specified marking or detection obligations for systems already placed on the market before 2 August 2026. | Review affected content-generation and detection systems and their transition status. |
| 2 December 2027 | Rules for high-risk use cases listed in Annex III apply. | Prepare controls for sensitive uses such as employment, education, biometrics and critical infrastructure. |
| 2 August 2028 | Rules for high-risk AI embedded in regulated products covered by Annex I apply. | Coordinate with product-safety, conformity-assessment and sector compliance teams. |
These are legal application dates in the Commission’s current implementation timeline, not estimates of when a vendor will update its product. Check the latest Commission material and the binding Regulation (EU) 2024/1689 before relying on a date for a particular system.
Does using a third-party AI tool make a company a provider?
Usually, a company that uses an AI application under its authority is acting as a deployer, while the organization that develops and places the system or model on the market is the provider. That distinction is central: provider obligations do not automatically become every customer’s obligations.
The legal role is determined system by system. A company may be a deployer of a customer-support assistant, a provider if it develops an AI system for sale, and potentially subject to additional provider responsibilities if it substantially changes a system or distributes it under its own name. Integrating a model into a new product, changing its intended purpose, or making it available to other organizations can alter the analysis. The Act’s legal text controls the particular relationship; a vendor’s marketing label is not decisive.
Build a system-and-use inventory
Before assigning duties, record each tool and the use in which it operates. At minimum, capture:
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- the function and intended purpose;
- who operates it and who can be affected;
- data supplied to it and outputs used downstream;
- the business decision or process it supports;
- whether your company changes, fine-tunes, bundles or redistributes it; and
- the provider’s instructions, limitations, update process and available documentation.
This inventory is a practical governance control, not a universal form mandated by one provision. It gives you an auditable basis for deciding whether a use is prohibited, subject to transparency rules, high-risk, or outside those categories.
How to classify an AI use before deployment
Classification depends on what the system does and the context in which it is used, not simply on whether the product is marketed as “enterprise AI.” The Commission describes high-risk systems as a limited set of uses that can affect health, safety or fundamental rights. Listed areas include employment, education, critical infrastructure, biometrics, migration, asylum and border control, among others.
Check the legal use case, not just the technology
A general writing assistant used to draft internal notes is not assessed in the same way as a system ranking job applicants, evaluating students, determining access to an essential service or operating safety-related infrastructure. The same underlying model can therefore produce different obligations in different workflows.
Rank #2
Map the intended purpose, affected people, degree of automation, decision impact and human involvement. Then compare the facts with the relevant Annex III entries and other provisions of the Regulation. The Commission’s high-risk materials reviewed for this guide describe draft guidelines and examples; where the classification is borderline, document the interpretation, seek specialist advice and check for later finalized guidance.
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Do not begin with a procurement checklist if the proposed use could fall within a prohibition. General prohibitions began applying on 2 February 2025, with additional content-related prohibitions applying on 2 December 2026. A documented screening decision should explain why the use is permitted, restricted or stopped.
AI literacy: what companies must do now
Article 4 applies to both providers and deployers. Companies must take measures to support the AI literacy of staff and other people dealing with AI systems on the company’s behalf. The measures should reflect the person’s technical knowledge, experience, education and training, the system and its use context, and the people or groups affected by the system.
The amended rule does not prescribe one literacy level, examination or commercial course for every individual. A practical programme can combine role-specific instruction, operating procedures and escalation exercises:
- Give everyday users clear instructions on permitted uses, confidential information, verification of outputs and reporting routes.
- Train reviewers and decision-makers on the system’s limitations, uncertainty, bias risks and when human judgment must override an output.
- Give administrators and developers deeper guidance on access controls, logging, testing, updates and incident handling.
- Refresh training when the model, interface, intended purpose or affected population changes.
Keep evidence of the measures taken, the roles covered and the reasons the content fits the use. The Act does not require a particular certificate, but an organization should be able to show that its measures were proportionate to the system and context.
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From 2 August 2026, Article 50 applies to specified interactions and AI-generated or manipulated content. It is not a blanket instruction to label every output from every AI tool.
When a person is interacting with AI
People generally must be informed when they directly interact with an AI system, unless the fact is obvious from the circumstances and context. The notice should be understandable and provided at the appropriate point in the interaction. A company should not assume that a generic privacy notice substitutes for the required AI disclosure.
When content is generated or manipulated
Marking and disclosure requirements apply in specified situations involving synthetic audio, image, video or text and manipulated content. The exact duty depends on the content type, how it is disseminated and the statutory qualifications. Build the capability into the workflow rather than relying on an employee to add a label manually after publication.
Emotion recognition and biometric categorisation
Users of covered emotion-recognition or biometric-categorisation systems have disclosure duties, subject to the qualifications in the Regulation. Confirm the system’s purpose, the people affected and any applicable exception before deployment.
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What high-risk deployers must control
For a high-risk AI system, Article 26 imposes operational duties on the deployer. They apply to the system and context that meet the high-risk conditions; they are not a universal checklist for every office productivity application.
- Follow the provider’s instructions. Use the system according to its documented intended purpose, limitations and operating instructions. If your organization changes the purpose or materially modifies the system, reassess its role and obligations.
- Assign competent human oversight. The Act states: “Deployers shall assign human oversight to natural persons who have the necessary competence, training and authority, as well as the necessary support.” Give those people enough access, time and authority to interpret outputs, intervene and stop use.
- Monitor operation. Define what normal performance looks like, review relevant outputs and track drift, failures and unexpected effects. Monitoring should continue after launch, not end with acceptance testing.
- Control input data when you control it. Where the deployer controls the data fed into the system, it must ensure that the data is relevant and sufficiently representative for the intended purpose. Record data-quality checks and the reason for any exclusions.
- Retain controlled logs. Automatically generated logs under the deployer’s control must be kept for an appropriate period of at least six months, unless applicable law provides otherwise. Align retention with data-protection, labor and sector requirements.
- Escalate risks and incidents. Notify the provider or relevant authorities when required, suspend use in specified circumstances, and report serious incidents through the applicable process.
Additional workplace, public-service and fundamental-rights assessment duties depend on the system, the deployer and the context. Determine those conditions rather than assuming that every high-risk deployment has an identical paperwork burden.
Rank #4
What GPAI rules mean for customers
Providers of general-purpose AI models have model-level obligations from 2 August 2025, including technical documentation, a copyright policy and a sufficiently detailed public summary of training content. Providers of models with systemic risk face additional duties such as notification, risk assessment and mitigation, incident reporting and cybersecurity protections. Commission enforcement powers for these obligations apply from 2 August 2026.
A company that simply uses a third-party AI product does not automatically inherit every model-provider obligation. It should, however, understand what the upstream provider must supply and whether the company’s own integration, fine-tuning, repackaging or distribution changes its legal role. Procurement should request the information needed to operate the system safely and to meet any downstream documentation, transparency or oversight duties.
How to evaluate AI tools during procurement
Compare tools on evidence that supports a legal and operational decision, not on a vendor’s broad compliance claim.
| Procurement question | Evidence to request |
|---|---|
| What is the intended purpose? | Supported and excluded use cases, user roles, affected groups and stated limitations. |
| What role will our company have? | Contractual description of provider, deployer, distributor and any modification or integration responsibilities. |
| What category is likely? | Reasoned classification against the Regulation, with assumptions and unresolved questions recorded. |
| How is human oversight implemented? | Instructions, control points, override functions, reviewer permissions and training materials. |
| Can it support Article 50 duties? | Interaction notices, content-marking mechanisms, metadata, disclosure controls and audit records relevant to the use. |
| What documentation is supplied? | Model or system documentation, performance limits, update notices, incident contacts and logging information. |
| What happens when the vendor changes the system? | Versioning, advance notice, regression testing support and a process for reassessing classification. |
| What other laws remain relevant? | Data-protection, confidentiality, employment, consumer, product-safety, security and sector-specific terms. |
These are practical comparison axes inferred from the Act and Commission guidance, not an official Commission scoring framework. A contract cannot remove obligations that the Regulation assigns to your company.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.A practical rollout sequence for an EU AI deployment
- Inventory. List every AI-enabled product, embedded feature, pilot and spreadsheet or workflow that calls an external model.
- Assign roles. For each use, document whether the company is deploying, providing, modifying or redistributing the system.
- Classify. Screen for prohibited practices, Article 50 coverage, high-risk status and GPAI-related dependencies.
- Set controls. Define human oversight, input-data checks, monitoring, logging, incident escalation and suspension authority where required.
- Train affected staff. Tailor AI-literacy measures to users, reviewers, administrators and managers, and retain evidence of completion and refreshes.
- Configure notices and marking. Test disclosures in the actual interface and publication workflow before the 2 August 2026 transparency rules apply to the use.
- Reassess on change. Repeat the role and classification analysis when the provider changes the model, your company changes the purpose, or the affected population expands.
Common mistakes and how to correct them
“The vendor says it is compliant, so we are covered.”
A provider statement does not decide your role, use case or deployer duties. Request evidence, record your own classification and assign internal ownership.
“AI literacy means buying one course for everyone.”
The obligation is contextual. Match instruction to the person’s role, the system and the people affected, then update it when those facts change.
“High-risk rules apply to every AI tool in August 2026.”
The current timeline places Annex III high-risk rules on 2 December 2027 and Annex I product rules on 2 August 2028. Other provisions, including Article 50 transparency, apply earlier.
“Human review means someone clicks approve.”
Article 26 requires competent people with authority and support. A reviewer who cannot understand the output, challenge it or stop the process is not meaningful oversight.
“The AI Act replaces privacy or employment compliance.”
It does not. Continue assessing lawful processing, confidentiality, discrimination, consultation, consumer information, safety and sector requirements under the laws that apply to the activity.
What a company should document
For each material use, retain the purpose and classification rationale, assigned role, provider instructions, affected groups, data controls, human-oversight design, monitoring plan, incident route, transparency method, literacy measures and change history. This record helps managers make consistent decisions and gives counsel or regulators a clear explanation of how the deployment is controlled.
Where a conclusion depends on an interpretation of a draft Commission guideline or an unusual integration, mark the assumption and set a review date. Confirm the latest finalized guidance, national authority expectations and sector rules before a high-impact launch.
Frequently Asked Questions
Does the EU AI Act apply if our company only uses an AI service supplied by another company?
Yes, the Act can apply to downstream use. A customer is commonly a deployer, with duties that depend on the system and context, but it does not automatically inherit every obligation imposed on the upstream provider.
Do all employees need the same AI certificate?
No. Article 4 requires contextual AI-literacy measures for staff and others acting on the company’s behalf; the Act does not prescribe one certificate or literacy level for every person.
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When do the EU AI Act high-risk rules apply?
The current Commission timeline gives 2 December 2027 for Annex III high-risk use cases and 2 August 2028 for high-risk AI embedded in Annex I regulated products. Other requirements, including AI literacy and Article 50 transparency, apply earlier.
Is labeling every AI-generated sentence required?
No. Article 50 covers specified interactions and categories of generated or manipulated content, with exceptions and role-specific duties. The exact obligation depends on the system, content and context.
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