An AI workshop with N3XTCODER is a 1-2 day working session that turns vague AI ambition into a ranked, defensible AI use case shortlist plus a project sketch you can take to budget. It is the same discovery method we run before our paid build engagements – the difference is that you can stop after the workshop or carry on with us into delivery.
No strategy decks. No inspiration sessions. AI training in Berlin from the people who built and operate the AI systems below.
The clearest example is a leading member network. They came to us with a knowledge chatbot problem. They had tried building it on off-the-shelf OpenAI Assistants with file search, and the results had been unreliable. Accuracy was critical. The chatbot had to live inside HumHub – the social network their members already use – and to be maintained by a non-technical team.
In a focused scoping session, the same one we run as a standard workshop, we mapped their data sources, scored the use case against impact, feasibility, data and risk, and produced a four-sprint scope. Stack: n8n in Berlin for orchestration, Qdrant in the EU for vector search, GPT-4 served via Microsoft EU sovereignty for the language model.
Version 1 is now in production inside HumHub, serving more than 1,000 network members, time-aware, and operated by a team that does not write code.
The same scoping pattern has shaped our work with the German Insurers Association (GDV) for 400+ member companies, an AI Member Platform for a leading German association, an AI email agent in pilot for a leading donation platform, and a Civic Coding-funded AI transcription pilot for Tannenhof Berlin-Brandenburg running on EU-hosted infrastructure with output formatted for German Pension Insurance reporting.
Real process mapping
Defensible scoring
Buildable project sketch
A ranked use case shortlist
defensible against four criteria – impact, feasibility, data, risk
A project sketch for the top use case
data, model approach, integrations and human-in-the-loop, ready to build
An honest effort estimate
so you can take it to a budget conversation
Team alignment
a shared vocabulary across decision-makers and the people who do the work the use cases come from
A 48-hour written summary
covering the shortlist, the project sketch and the recommended next step
Three phases, delivered over one or two days, in person at our Berlin studio, on-site at your offices, or fully remote:
1. Map and surface
2. Score and prioritise
3. Sketch and plan
As an AI workshop company based in Berlin, we bring a decade of impact-tech experience and more than 160 AI projects since 2019. Through our free AI for Impact course, more than 100,000 people have learned how to use AI for the common good. We do not run inspiration days. We run scoping sessions designed to feed straight into a four-sprint build, the way we have delivered AI for the organisations below:
Default stack: n8n in Berlin, Qdrant in the EU, Azure OpenAI via Microsoft EU sovereignty, plus open-source EU alternatives like Mistral and Milvus on request.
A workshop is not a substitute for a real prototype. If you need proof that AI can do the job before you commit budget, the cleanest path is to leave the workshop with a four-sprint scope and start building – the way a leading member network did.
AI does not fit everywhere. Rule-based automation already works for some processes. For others, the cost of a wrong AI answer cannot be tolerated even with human review. For both, the honest answer is "not now, and here is what to do instead".
If your data is not ready, no workshop will fix that. The answer in that case is usually a smaller, less glamorous data project before any AI – not more workshops.
How long does the AI workshop in Berlin take?
What does the workshop cost?
What do we leave with in writing?
Do we need to be technical to attend?
What happens after the workshop?
How is this different from a generic AI strategy day?
Can you work under public sector procurement?
Where does our data go?
Tell us about your team and the challenge. We will reply with a proposed agenda and a date, usually within a working day.
Simon Stegemann
Co-Founder and CEO
