A complete overview of our AI workshops, design sprints and implementation programmes, arranged by goal, target group and format. One place to choose the format that suits your organisation, sector and challenge.
Under the banner of AI workshops, Appfront brings together every programme in which your organisation learns, together with our engineers and business developers, how to apply AI, from an initial exploration at the table with the management team to a multi-day programme in which we build alongside training. This page is the hub overview: for each workshop format you will find the target group, the typical outcome and a link to its own page with more detail.
We distinguish three main formats. A workshop is a focused session or series of sessions in which we transfer knowledge and work with the group on tooling, prompts and use cases in a practical way. A design sprint is a structured, shorter period in which we take a single AI concept from problem to working prototype together. An implementation programme is a longer collaboration in which we make the concept truly production-ready, with integrations, evaluation and governance in place.
The choice between these three depends on where your organisation stands today. Do you first want to know where AI realistically adds value and what the risks are? Start with a workshop. Do you already have an idea, such as an AI assistant for customer questions or a document processor, and want to test whether it works? Run a design sprint. Do you have a validated concept and want to take it into production? Then we will look together whether an implementation programme or the shorter implementation workshop is the better fit.
On this page you'll also find a matrix to help you quickly see which format fits your situation, a breakdown by stakeholder role, an overlay on the AI Act obligation, and a section with sector-specific variants. At the bottom, we answer the frequently asked questions that come in through enquiries and intake calls.
We work from one principle: we only train on what we have built ourselves or recently seen in production. That is why this offering is not a catalogue of standalone courses, but a collection of coherent formats drawing on our own experience with custom LLM integrations, RAG pipelines and evaluation frameworks.
Our AI workshops come in seven variants, ranked from broad and strategic to narrow and hands-on. Click through for the dedicated page per variant with the content modules, duration and outcomes.
A broad programme for your entire organisation: from the board to operational staff, including governance and the AI Act basis. Built modularly from shorter blocks that differ by role.
View company training →Specific to a single team: marketing, finance, customer service, development or HR. Hands-on work with Claude, ChatGPT and Copilot for the tasks that team carries out every day.
View team training →For self-employed professionals and small business owners who want to put AI to work in their own practice. More compact in scope, focused on direct application in marketing, administration and customer contact.
View course for entrepreneurs →Our in-person variant in Amsterdam, at your office or with us at Westerdoksdijk. Suited to groups who want to come together physically to work on use cases.
View Amsterdam variant →A fully online format with live video sessions and parallel work in the browser. Works well for distributed teams or organisations with multiple locations across the Netherlands.
View in-person and online options →A structured sprint that takes us from problem statement to a working prototype. Suitable if you want to validate an AI idea before investing in a full implementation project.
View design sprint →A shorter session in which we build a blueprint together for a specific AI implementation: architecture, data flow, evaluation and governance, so your team can take it forward internally afterwards.
View implementation workshop →An ongoing collaboration in which we not only train but actually help build the AI solution. For organisations that want to temporarily bring in expertise alongside their own team.
View implementation project →A quick comparison to help you determine which format fits your situation. No format rules out the others. Many organisations start with a workshop, validate an idea with a sprint and only then choose a project.
| Aspect | Workshop / training | Design sprint | Implementation project |
|---|---|---|---|
| Main goal | Build knowledge and skills, cover the AI Act basis | Take one concept from problem to working prototype | Make a validated concept production-ready and integrate it |
| Suitable when | You don't yet know what AI means for your work | You have an idea but want to see whether it works first | You know what you want to build and are looking for expertise |
| Target audience | Broad group: board, teams, operational staff | Small product team, usually four to six people | Tech team plus stakeholders on the client side |
| Outcome | A literate organisation and internal working agreements | A working prototype plus a realistic go/no-go decision | A live AI solution with evaluation and governance in place |
| Next step | Sprint or build it yourselves | Implementation workshop or project | Maintenance, further development or an on-call arrangement |
| External link | Company training | Design sprint | Implementation programme |
A common combination: a leadership session from the company training → design sprint on the highest-priority idea → implementation programme if the sprint succeeds. This creates a logical sequence in which each phase has its own go/no-go decision.
In practice, different roles within one organisation have different AI questions. Below is the programme that makes most sense as a starting point for each role.
The board wants to know where AI can realistically add value, where the risks lie and what the AI Act means for liability. Starting point: the leadership module within AI business training, followed where appropriate by a design sprint on the most promising use case.
Developers and data engineers are looking for concrete knowledge on LLM architecture, RAG, evaluation and hallucination mitigation. Starting point: the tech module within business training, or straight into an implementation workshop where we work out the blueprint for a specific solution.
Employees who work with Claude, ChatGPT or Copilot on day-to-day tasks. Starting point: AI training for teams, in which we practise the tools by function group and agree internal working guidelines.
Compliance officers and legal teams need the AI Act articles translated into their own processes. Starting point: the compliance module of the business training, or the targeted AI literacy training for the Article 4 basis.
HR teams using AI tooling in recruitment or assessment fall under the high-risk classification of the AI Act. Starting point: the HR module of the business training, plus attention to the transparency obligation and bias mitigation.
For self-employed professionals and smaller business owners, a group programme works less well. Starting point: the AI course for entrepreneurs, with practical application in marketing, administration and customer contact.
Since February 2025, Article 4 of the AI Act requires every organisation that uses AI systems to ensure sufficient AI literacy among its staff. Not for one role, but for everyone who works with AI.
The obligation is not optional: you must be able to demonstrate how you have transferred that knowledge. A well-documented workshop programme is an accepted route for this. See also our AI literacy training.
Some AI applications, such as HR assessment, credit scoring and biometrics, fall under high-risk. Additional requirements apply to those applications concerning documentation, evaluation and human oversight. Our business training covers the classification explicitly.
Little AI experience in the organisation and no clear picture of where it can deliver value. Choose a broad business training with a leadership module and hands-on sessions for one or two teams.
A team or board member has an AI application in mind, for example an internal chatbot or a document assistant. Choose a design sprint to quickly validate whether the idea holds up technically and commercially.
The concept has been validated and you want a working solution. Choose an implementation workshop if your own team will do the build, or an implementation programme if you want to bring in expertise temporarily.
An audit, supervisory authority or procurement requests evidence of AI literacy. Choose the targeted AI literacy training or the broader business training with its literacy module.
Alongside the generic formats, we offer sector-specific workshops whose content is tailored to the roles, regulations and cases that are relevant within a given sector. We build these variants from our own work in those sectors.
AI workshop for municipalities and government. Focus on algorithm registers, transparency and public decision-making.
Municipality variant →For transport and logistics. Routing, planning, document processing, and what AI does and does not reliably do at present.
Transport variant →A variant for construction hubs, hauliers and planners in construction logistics. Includes case studies on hub planning, inventory and sustainable routing.
Construction logistics variant →Pharma variant on request. Attention to GxP, quality documentation and the use of LLMs in validation environments. Get in touch for a custom solution.
Request via contact →An AI workshop can be booked with literally hundreds of providers. What sets us apart comes down to three choices. Vendor-independent: we receive no sales commission on Claude, ChatGPT, Copilot, Mistral or any other AI provider. That means we can say openly during a workshop when a tool is less suitable for your use case, even if the manufacturer promotes it heavily.
Dutch team: we work from Amsterdam with a fixed team. No subcontractors, no rotating freelance trainers. The person you speak to at intake is also in the room during the workshop and is the first person you reach afterwards with follow-up questions. That may sound obvious, but our market research showed it is far from standard across providers.
Builders, not classic trainers: the content of our workshops comes directly from projects we have built. A RAG pipeline for an insurer, an agent for a logistics company, a document classifier for a municipality. That means we can also show you real bugs and pitfalls, not an idealised slide deck.
This combination allows us to answer difficult questions too. For example: "Why does the prompt that is doing the rounds on LinkedIn not work in practice for our customer communication?" Or: "What is the precise difference between RAG with embeddings and an agent with tool use, and which one fits here?" These are the questions we want on the table, not the ones a sales-driven trainer talks around.
For anyone who wants to read more about how we approach AI projects on commission: Building an AI strategy, Building an AI agent and custom LLM integrations. These service pages give a good picture of the technology we bring into the workshops.
What a language model really is, what it cannot do, and where the risks of hallucination and bias lie. An honest outline of the technology, not a marketing story.
Working directly with Claude, ChatGPT and Copilot, using your own documents and use cases. Writing prompts, assessing output, building in evaluation.
Working agreements, AI Act classification, overlap with GDPR, and audit trails. How you record decisions, who holds which responsibilities, and what you do with customer data.
Whether you opt for a short workshop or an ongoing programme, the process follows the same structure. We start with an intake, by phone or at your office. There we discuss what you are currently doing with AI, which questions are on the table and which roles will be involved. Based on that, we propose a programme with modules, format and schedule.
The first session then takes place. In-house means we come to your office; a room with a projector and one laptop per participant is sufficient. Online, we run a live video session with recording, and participants work along live in their own browser. Hybrid works too: a leadership session on site, with the technical modules delivered online for the wider team.
After each session we provide a short report: which topics were covered, which working agreements were made, and which questions remain open. This material can serve as evidence for the AI literacy obligation under the AI Act. We plan follow-up sessions or an implementation phase separately, so you can first see whether the content lands before investing further.
The programme differs per organisation. A SME with one team can manage with a limited number of half-day sessions. A larger enterprise with multiple departments and a formal compliance function gets a more extensive track, with a separate board session, tech team modules and compliance deep-dives. During the intake we advise which combination makes sense for your situation.
An important caveat: our workshops are never an end in themselves. We always link them to what comes next. Sometimes a directors' session reveals that an AI strategy engagement is the logical next step. Sometimes a tech team wants to start building the first RAG pipeline straight after an implementation workshop, in which case we help build it or deliver the technology. We are honest about when a follow-on project is worth it and when you are better off waiting.
A thirty-minute introductory call in which we go through your question, which roles should be involved and which format makes sense: workshop, sprint or project. We then send a proposal with programme, format and timeline.
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