How do I meet the AI training obligation from the EU AI Act for my business?

Introduction

You meet the AI training obligation under Article 4 of the EU AI Act by training all employees who work with AI systems in a role-specific, application-oriented way and according to the respective risk class of the AI. Since February 2, 2025, AI literacy has been mandatory for companies. The EU AI Act entered into force on August 1, 2024; from August 2026, non-compliance risks substantial fines from the supervisory authorities.

This article shows you how to put the training obligation into practice for your business — step by step, with concrete formats, cost comparisons, and documentation requirements. It is aimed at managing directors, IT managers, and compliance officers in mid-market companies with 20 to 1,000 employees that use AI systems and want to implement their obligations under the AI Regulation in a legally compliant way. Strategic AI consulting or software implementation are not the subject of this article.

Article 4 of the AI Regulation requires the training of staff. Companies that use AI systems must develop and document individual training concepts for their employees in order to minimize liability risks. This is achieved most efficiently with practice-oriented micro-learning units of 15–20 minutes that are immediately applicable in everyday work and build demonstrable competence.

What you take away from this article:

• Legal clarity: which requirements Article 4 of the EU AI Act specifically places on your business
• Impact analysis: how to determine which employees and AI systems are affected
• Implementation path: a 5-step approach from taking stock to proof of competence
• Format comparison: why micro-learning formats are superior to classroom training and traditional eLearning platforms in the mid-market
• Documentation: how to meet proof obligations toward authorities

Understanding the AI training obligation

Article 4 of the EU AI Act — titled “AI literacy” — requires providers and deployers of AI systems to ensure that their staff have sufficient knowledge in dealing with AI. AI literacy encompasses technical, legal, and ethical aspects. Employees must have knowledge of how AI systems work and of their risks. This means: an understanding of opportunities and risks, knowledge of data protection, distortions (bias), transparency, and human oversight.

The training obligation is not a recommendation but a binding requirement. From February 2, 2025, all employees must have AI literacy. The national supervisory authority must be designated by August 2, 2025 — in Germany, the Bundesnetzagentur will take on this role. There are no fixed requirements for training content in the AI Act, but the training content must be tailored to technical knowledge and experience. Training should include data protection, copyright, and ethical aspects.

What counts as an AI system

An AI system within the meaning of the AI Regulation is a machine-based, adaptive system as defined in Art. 3 No. 1 of the Regulation. In practice, this covers far more than self-developed AI models. Concrete examples: ChatGPT, Microsoft Copilot, recruiting software with automated pre-selection, chatbots in customer service, text generation tools in marketing, or AI-supported analysis tools in accounting.

The decisive point: even the use of supposedly simple AI tools such as a chatbot on the company website triggers the training obligation. Anyone who uses AI systems — whether as a provider or deployer — must act. The training obligation affects all companies that use AI systems, not only those that develop AI systems.

Risk classes and their significance

The EU AI Act distinguishes three central risk classes that significantly determine the scope of training:

• High-risk AI systems: These include AI applications in safety-critical areas such as personnel decisions, biometric identification, or creditworthiness checks. Here the strictest requirements for training, human oversight, and documentation apply.
• General-purpose AI (GPAI): Systems such as large language models that can be used broadly. The training needs depend on the risk classification of the AI applications in the specific context of use.
• Low-risk AI: Simple automation tools, spam filters, simple recommendation systems. Basic AI literacy must nevertheless be in place.

Companies must classify AI systems by risk class. Training must be designed on a risk-based and role-based basis. This classification determines how deep the training content must go — and which additional obligations apply. The transition to the practical question is: how do you determine whether and to what extent your business is affected?

Is your business affected?

The honest answer: yes, with high probability. As soon as a single AI tool is in use in the company — even if it is only ChatGPT for text creation — the training obligation applies. The question is not whether, but to what extent. A structured inventory is the basis for any compliance strategy.

Conducting a business analysis

Create a complete inventory of all AI systems used in your company. Systematically record: which AI tools are used? By whom? For what purpose? Which data is processed? Also review the concrete application of the recorded tools in everyday work. This includes obvious applications such as chatbots and Copilot integrations as well as less visible AI use — for example in CRM systems, accounting software, or marketing automation tools.

Identify the user groups by department: marketing, HR, customer service, IT, management. For each system, determine the risk class; this objective is central to taking stock. Especially critical: AI applications that influence decisions about individuals — for example in application procedures or in performance evaluations. These fall under high-risk AI systems and trigger stricter requirements.

Identifying affected employees

The AI training obligation does not affect only IT specialists. Employees who develop or use AI systems must be trained. This also includes the safe use of AI systems as a concrete subject of learning. This includes: the marketing team that works with prompt engineering tools. The HR department that uses AI-supported recruiting software. Customer service that interacts with chatbots. Management that decides on the use of AI.

Distinguish here between direct users and those affected by decisions. Managers who order or approve the use of AI systems bear particular responsibility. Especially with high-risk use in HR or application procedures, not only the operational users but also those responsible for deployment decisions must be trained — they must understand bias risks, data protection requirements, and transparency obligations.

Determining the legal status

Clarify which role your company takes on within the meaning of the EU AI Act: Are you a provider if you develop or distribute AI systems? Are you a deployer if you use AI systems in your business? Or are you both? External service providers and subcontractors that use or manage AI systems on your behalf also fall under the obligation. The legal framework sets out different responsibilities along the AI value chain depending on the role.

The role determines the scope of the training and documentation obligations. Deployers of AI systems must ensure that all users are sufficiently trained. Providers bear additional obligations to provide information and instructions for use. Most mid-market companies are deployers — and therefore obligated to train their entire workforce in AI literacy. Many businesses additionally appoint an AI officer or a central responsible person to coordinate training, standards, and proof. How this works in practice is shown in the next section.

Practical implementation of the training obligation

From analysis to concrete implementation: you now know which AI systems are in use in your business, who is affected, and which risk classes are relevant. Now it is about building the right training structure. The operational goal is to build demonstrable AI literacy in everyday work — tailored to prior knowledge, role, and the specific context of use of the employees in the business.

Step-by-step approach

1. Develop a training concept: Based on your risk analysis, you define a role profile with specific competence requirements for each user group. For high-risk systems: in-depth content on testing procedures, human oversight, and review obligations. For general AI use: basics on how it works, data protection, and safe use of AI.
2. Select PASSION4IT Academy modules:
   • The AI license (KI-Führerschein) under EU AI Act Art. 4 costs EUR 59 per user per year
   • Cyber Security EUR 39
   • Digital Work EUR 39
   • Anyone who wants to cover the entire digital competence goes for the Business Bundle at EUR 99.
3. Define role-specific learning paths: Management starts with the strategic fundamentals of the AI Regulation. The HR team additionally receives content on bias and high-risk AI in human resources. The marketing team learns safe prompt engineering and copyright risks.
4. Deliver and document training: Each micro-learning unit can be completed in 15–20 minutes — without a seminar day, without travel costs, without production downtime. Device-independent, at your own pace, scalable for the entire workforce.
5. Create and archive proof of competence: A certificate per completed training — demonstrable competence, not just attendance. These certificates form the basis for documentation toward supervisory authorities.

Module comparison for different requirements

For businesses that primarily want to meet the AI training obligation, the AI license is the core module. The Business Bundle is recommended if you also want to train Cyber Security and digital ways of working with Microsoft 365 at the same time — which for most mid-market companies is the more sensible investment.

The ROI consideration is clear: for 100 employees, the Academy in the Business Bundle costs EUR 9,900 per year — including all modules, certificates, and updates.

Documentation and proof obligations

Companies must document the training measures in order to minimize liability risks. No mere “link sent” or “PDF read.” Supervisory authorities expect verifiable evidence that learning objectives were actually achieved and that verifiable results from learning checks or training records are also documented.

The PASSION4IT Academy provides certificates per completed training as proof of competence — automatically, digitally, ready to archive. The retention obligations are based on the national implementations. Recommendation: document at least the times of delivery, the content covered, the competencies achieved, and the confirmations of participation. Integrate the proof into your existing compliance system — whether that is a quality management tool, an HR system, or a simple folder.

Decisive: the documentation must show that the training content was tailored to the specific context of use — not generic, but role-based and tailored to the AI systems actually in use.

Common challenges and solutions

In practice, many training initiatives fail not due to a lack of content, but due to organizational and cultural hurdles. Digitalization does not fail in the mid-market due to a lack of technology — it fails because people do not understand the technology, do not want to use it, or do not know how to use it safely.

Lack of employee acceptance

Problem: Full-day compliance training creates high absences, a low learning rate, and acceptance problems.

Solution: Short, practice-oriented micro-learning units of 15 to 20 minutes that are completed directly at the workplace. No IT jargon, but immediately applicable knowledge for everyday work.

Ensuring currency

Problem: Artificial intelligence develops faster than seminar cycles. What is considered best practice today may be outdated in six months. The EU Commission is continuously working on supplementary guidelines for practical implementation. Regular refresher courses are recommended for all employees.

Solution: E-learning modules enable flexible, self-directed learning — with continuous content updates. The PASSION4IT Academy updates its content on an ongoing basis, without you having to book new seminars or brief trainers.

Scaling without loss of quality

Problem: Classroom training for the entire workforce of a mid-market company is barely feasible logistically and financially. With 50 or more employees, the costs for trainers, rooms, travel, and production downtime explode.

Solution: Device-independent, scalable Academy modules. A concrete cost comparison for 100 employees:

The PASSION4IT Academy in the AI license costs EUR 5,900 per year — while a comparable one-day seminar quickly comes to EUR 20,000. And that is before the first refresher. Blended learning combines digital formats and classroom phases: the Academy forms the digital foundation, while targeted workshops deepen concrete use cases and foster exchange within the team, for example with an AI workshop for managers.

Conclusion and next steps

The AI training obligation from the EU AI Act is not an abstract compliance exercise but a concrete call to action for every business that uses AI systems. The PASSION4IT Academy closes the most underestimated gap in mid-market digitalization: the one between management decision and employee adoption. The best technology fails if the people in front of it do not understand it, do not want to use it, or do not know how to use it safely.

Now implement the AI training obligation in a legally sound and practical way

Put an end to theoretical training that misses the everyday work of your workforce. Use the PASSION4IT Academy to enable your employees efficiently and set up your business in a compliance-safe way.

In 3 steps to legally sound AI literacy:

• Step 1: Start taking stock. Conduct an inventory of your AI tools and determine the risk classes. (Use the PASSION4IT Digital Check as a structured basis.)
• Step 2: Test the AI license. Start directly with a pilot group — from EUR 59 per user, in 15–20 minutes of easy micro-learning units and without prior IT knowledge.
• Step 3: Secure rollout & compliance. Assign role-specific learning paths and automatically receive audit-ready certificates for supervisory authorities and auditors.

START A PILOT GROUP & TEST THE ACADEMY NOW

For the strategic framework, a Digital Check is recommended as a basis for the targeted use of the Academy. For managing directors who want to combine AI strategy and operational implementation, AI readiness workshops with a concrete 90-day implementation plan offer the fitting complement.

Frequently asked questions (FAQ)

Is one-time training enough, or is regular retraining required?

One-time training is not enough. The EU AI Act requires that AI literacy be ensured on a permanent basis. Since technology, risks, and regulatory requirements change continuously, regular refresher courses are recommended for all employees. The PASSION4IT Academy solves this through continuous content updates within the existing modules — without additional bookings.

Can we conduct the training internally ourselves?

In theory yes, but in practice internal training usually fails due to the proof obligation and the constant updating. In the event of an audit, you must be able to demonstrate that the content was tailored, up to date, and successfully tested. An external, certified system saves considerable internal resources here.

What happens if an employee refuses the training?

As a deployer, you are obligated to ensure the AI literacy of your staff. If an employee refuses the training, you bear the liability risk. Under employment law, you can define the training as a mandatory part of the job — comparable to occupational safety instructions. Document the case of refusal and, if necessary, restrict access to AI systems.

How long are the certificates valid?

The certificates of the PASSION4IT Academy document the time at which competence was acquired. There is no legally defined validity period in the EU AI Act. However, since regular refreshers are recommended and the content is continuously updated, an annual training cycle is recommended — which is already included in the Academy’s annual subscription.