Practical AI training for your organisation, from board-level sessions on AI strategy to hands-on workshops with Claude, ChatGPT and Copilot for your staff. We build AI systems ourselves and deliver training from that practice, not from an off-the-shelf e-learning package.
AI business training is a broad training programme that helps your organisation learn to use, assess and steer AI in day-to-day work. It goes beyond a one-off workshop: you get a programme that suits your sector, your roles and your specific tooling.
A good programme combines four layers: strategy for the board, technology for the development team, day-to-day use for operational staff, and compliance for HR and legal. We tailor those layers to what your organisation does now and where you want to go.
The difference from our AI literacy training lies in scope. Literacy training is a targeted way of meeting the obligation under Article 4 of the AI Act: a minimum level of knowledge for anyone working with AI systems. Company training is broader. Literacy is one module, but it also covers tooling, prompt engineering, AI strategy, evaluation and implementation.
We deliver on-site at your premises, online through live sessions with recordings, or in a hybrid format. Sector-specific modules, such as healthcare, finance, marketing or government, can be added on request, built around cases we have encountered during AI implementation projects.
One deliberate choice we make: we train from the technology, not from the hype. The content is grounded in what AI models actually do today, not in marketing material from AI vendors. That also means we are open about where AI is not yet reliable enough, and where an organisation is better off getting the basics in order before investing in an agent or a RAG pipeline.
Since February 2025, any organisation using AI must demonstrably ensure its staff have sufficient knowledge. Company training covers this requirement, plus the steps that follow.
Some of your team already uses Claude or ChatGPT every day, while others don't. You want a shared level of knowledge and agreed ways of working.
Deciding where AI adds value, and where it doesn't, calls for a structured session with senior leaders, separate from the operational side.
Client data pasted into public chatbots, unchecked hallucinations in client communication, shadow IT with AI subscriptions on personal accounts. Training puts this into context.
What a language model is, what it can and cannot do, and where the risks lie. No marketing story, just an honest picture of what AI means in 2026 for your type of work.
Working concretely with Claude, ChatGPT, Microsoft Copilot or your own tools. Writing prompts, assessing output, spotting hallucinations, and building your own workflows.
Policy, the AI Act, overlap with GDPR and internal ways of working. What is and isn't allowed with client data, how you record decisions, and how you set up an audit trail.
An AI programme works best when each role gets its own session, since the board has different questions from an operational team. We select modules based on your organisation.
A workshop for the management team and board on AI strategy, ROI, prioritisation and the AI Act obligation. We use examples from your own sector and go through where AI realistically adds value.
In-depth training for developers and data engineers: LLM architecture, RAG pipelines, evaluation, hallucination mitigation, and when you are better off not using an LLM at all.
Hands-on work with Claude, ChatGPT and Copilot for everyday tasks. Writing prompts safely, verifying output, recognising sensitive data, and knowing what not to paste into a public chat.
Deeper dive into AI Act classification, GDPR overlap, DPIAs for AI systems, audit trail setup, and who within your organisation holds which responsibility.
AI in recruitment processes, bias risks in automated selection, the transparency obligation towards candidates, and the classification of HR AI as high-risk under the AI Act.
On request, modules for healthcare (NEN 7510, record-keeping AI), finance (supervisory frameworks), marketing (content, personalisation) and the public sector (decision-making with AI).
Concrete skills and organisational outcomes we aim for in every training design.
Knowing, for each role, where AI saves time and where it doesn't.
Structured prompts that deliver repeatable results.
Spotting hallucinations before they leave the building.
Demonstrably meeting the AI literacy obligation.
Separating good AI cases from noise and hype.
Internal policy and acceptable-use policy ready for publication.
Make a well-founded choice between Claude, ChatGPT, Copilot or your own LLM.
A clear roadmap towards agents, RAG or your own integration.
Our trainers work on production AI during the week: RAG pipelines, agents, evaluation frameworks. The examples in the training come from projects we have built or refined ourselves.
You learn not only what a language model is, but also why it is sometimes unusable for your use case. We run the tools on your own documents and discuss the outcome candidly.
You don't buy a video course. These are live sessions with experts who can answer your questions, including those that fall outside the scenario. Recording is optional for new starters.
We start with an intake, by phone or at your office, where we go through which roles are involved, which tooling you already use, and which sector-specific issues apply. Based on that, we propose a programme with modules, format and schedule.
The training then takes place. In-house means we come to your office; a room with a projector and a laptop per participant is enough. Online, we run a live video session with recording, and participants work along live in their own browser. Hybrid also works: a leadership session on site, with the technical modules online for the wider team.
After the training, we provide a short report: which modules were delivered, who took part, and what level the group reached. That material is useful as evidence for the AI literacy obligation. We schedule follow-up sessions separately, for example a deeper dive into AI agents if that turns out to be a logical next topic.
The programme varies by organisation. A small or medium-sized business may need only a few half-days; a larger enterprise with several departments and compliance questions will get a longer trajectory. We work with a fixed rate per half-day; the final cost depends on the number of modules, the group size and whether sector-specific preparation is needed.
Important: the training is not a standalone event. We deliberately link it to what your organisation needs next. Sometimes, after a board session, it turns out that an AI strategy programme is the logical next step. Sometimes a tech team wants to build a first RAG pipeline straight after the training. In that case we help, or we hand over the technology. We are honest about when an implementation project is worth it and when you are better off waiting.
The training is tool-agnostic where it can be and specific where it has to be. In the operational modules we work by default with Claude (Anthropic) and ChatGPT (OpenAI) as general-purpose assistants, plus Microsoft Copilot for organisations in the Microsoft 365 ecosystem. For development teams we also cover GitHub Copilot, Cursor and custom LLM integrations.
In terms of technical depth, we cover the fundamentals of transformer architecture, context windows, tokenisation and what these mean in practice for your use cases. We also discuss RAG (retrieval-augmented generation), embeddings, evaluation frameworks and the choice between API access and self-hosted models. We look at the choice of provider — Anthropic, OpenAI, Google, Mistral, or an open-source model — including the implications for data residency and costs.
We also show you what doesn't work. AI tools that score well in benchmarks but disappoint in production, prompt templates that circulate online but trigger hallucinations in practice, and use cases where a traditional solution is simply more reliable. An honest picture of where things stand today, not a sales pitch for a single tool.
At your office, with participants physically present. Works best for leadership sessions, hands-on modules and sessions where sensitive internal topics are discussed.
Live video call, with participants following along in their browser. Suitable for distributed teams and standalone follow-up modules. A recording is available for those who missed a session or for new joiners.
Combinations are standard: leadership on-site, the wider team online. Or a sector-specific variant with external experts involved. We tailor this to your situation.
A half-hour introductory call in which we go through which roles should take part, which tooling you already use and which modules suit your situation. We then send a proposal covering the programme, format and schedule.
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