AI Training for Businesses: What Your Team Needs in 2026

AI training for businesses: decide what your team needs to know about AI use, data, review and the EU AI Act.

Written by Christian and Michel.

AI training for businesses does not begin with a list of disconnected tools. A better starting point is understanding where your team already uses AI, which tasks are changing and where people retain responsibility.

That is not only practical. Since 2 February 2025, organisations that develop or use AI systems have had to take measures to promote AI literacy among employees and other people working with AI on their behalf. The Dutch Data Protection Authority explains that the knowledge needed depends on the application, its context and its risks.

For a business in the Netherlands, this does not mean everyone needs the same technical explanation. It means the team should understand what the systems do in their work, where the boundaries lie and when a person needs to review or intervene.

AI training is more than an explanation of a tool

An AI tool can be opened in minutes. Using it well takes more thought. Someone needs to know which information is suitable as input, how an outcome should be reviewed and when a question should not move forward automatically.

That is why useful AI training starts with daily work. Discuss how a team uses AI to prepare a first draft, organise information or respond to a recurring question. Then identify which step a team member reviews and who remains responsible for the next decision.

This makes training concrete. It is not about every possible use of AI. It is about clear agreements for the applications that are already part of the work.

Why AI literacy needs attention now

The EU AI Act applies to organisations that provide AI and to organisations that use it. The rules are risk based: what an organisation needs to do depends on the application and its consequences. The Dutch Data Protection Authority identifies prohibited uses, requirements for high-risk AI and transparency obligations among the relevant areas.

For many businesses, AI literacy is the most direct starting point. The European Commission advises organisations to consider four things: which AI is used, whether the organisation is a provider or deployer, which risks are involved and what knowledge people need in their role.

A sound training programme therefore does more than share knowledge. It also shows where an organisation already has clear ways of working and where agreements are still missing.

Four parts of a useful programme

1. Map current AI use

Start with a straightforward overview. Which AI systems does your team use? Which processes include them? What information goes in and what outcome comes out?

Include applications that sit inside existing software as well. AI is not always a separate tool. A function in a CRM system, document environment or customer-service platform can also influence how people work.

This overview matches the first step in our AI roadmap for your business: first understand how the current process works, then decide where an application can support it.

2. Explain what a system does and does not do

Teams do not need every technical detail. They should understand what kind of outcome a system can produce, what the outcome is based on and which limits matter for their work.

Make the boundary concrete. AI may prepare a first summary or organise information. A team member reviews whether the outcome is correct, whether important context is missing and whether a next step is appropriate. This division of roles matters especially when an outcome can affect customers, staff or other people.

3. Agree how data and review will be handled

AI literacy also concerns the way you handle business information and personal data. Discuss which information does and does not belong in a system, who has access and what someone does when an outcome is unexpected or incorrect.

The GDPR remains relevant where an AI application processes personal data. For that side of the work, read our guide to GDPR and AI automation.

Practical agreements may cover:

1. Information a team member never enters.

2. When a second person reviews an outcome.

3. Who records and follows up on an error or question.

4. How the team makes clear when a customer is interacting with AI.

4. Practise with work the team recognises

A general presentation about AI often remains separate from practice. Use examples from the organisation's own work instead, without using sensitive information. Let employees describe what they normally do, where they would use an application and where they want to keep their own review.

This builds understanding of the technology and a shared way of working. It makes it easier to test new applications carefully and recognise exceptions in time.

Who should be involved in AI training?

Involve the people who use AI every day, their managers and the people responsible for systems, data or policy. Not everyone needs the same session, but the agreements between these groups should fit together.

The Dutch Data Protection Authority specifically refers to employees and other people working with AI systems on the organisation's behalf. Consider external parties too when they operate or use an application within one of your organisation's processes.

For businesses that want to establish a first foundation, our page on AI literacy training offers a practical starting point. For the legal background, read what Article 4 of the AI Act requires.

From one session to a standing way of working

Training is a starting point. Its value lies in what happens afterwards. Record the most important agreements, make clear who collects questions and revisit them when a new tool, process or risk appears.

The Dutch Data Protection Authority advises organisations to approach AI literacy strategically, for example with a multi-year action plan. Its form differs by organisation. For a small team, a concise overview and recurring discussion can provide a useful basis. For an organisation with multiple applications, it can make sense to maintain agreements by role and process.

Want to first map which AI applications your team already uses and which agreements fit them? Contact NordX. We start with the day-to-day reality of your business.

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Frequently asked questions

Is AI training mandatory for my business?

The EU AI Act does not prescribe one fixed course format. Organisations that develop or use AI must take measures to promote AI literacy among staff and other people working with AI on their behalf. What is appropriate depends on the use, its risk and the role of the people involved.

Does every team member need to learn the same thing about AI?

No. Someone using AI for a first text draft needs different knowledge from someone managing, procuring or reviewing an application. Match the content to the work people actually do.

Is reading an AI tool's instructions enough?

Not always. The European Commission notes that relying only on instructions may be ineffective. Practical guidance and agreements that fit the team and the use case are usually needed.

Where should I start with AI literacy?

Start with an overview of the AI systems already in use. Then identify who works with them, which choices they make and where clear boundaries or review are needed.

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