Practical workshops for teams that want to bring AI into daily work in a useful, safe and productive way.
Many AI workshops end with “interesting, but how would this work for us?” Generic examples rarely translate into real work.
We prepare workshops around your documents, processes and questions. In the workshop, people work on invoices, requests, contracts, reports and the tasks waiting tomorrow.
At the end, every participant has a realistic view of AI, concrete use cases and a checklist for safe use.
What models can do, where their limits are and how prompts, data and processes fit together.
We also cover hallucinations, bias, privacy, copyright and error-proneness without hype.
We identify and prototype concrete automations with your team. Day one yields use cases; the end yields a prioritized pilot proposal.
Small groups work with real examples and tools that can be used afterward.
Teams learn which data may go into AI systems, how results are checked and where approvals are required.
Instead of a long policy nobody reads, we create clear guardrails: yes, no and approval needed.
A half-day format for management, department heads and supervisory bodies: strategic context, practical impact and decisions to make now.
Content is tailored to your industry, size and competitive situation.
For IT teams, developers and data professionals: RAG, embeddings, vector databases, function calling, evals and security patterns at code level.
We work in a real repository, write tests, build a small RAG system with sources and discuss failure modes honestly.
Both are possible. For business teams we explain AI practically; for technical teams we go deeper into data, models, evals and integration.
Yes. The workshop is better when real documents, processes or questions are brought in. Sensitive data can be anonymized beforehand.
You receive concrete use cases, value and risk estimates, and suggestions for pilots or internal rules. Optional follow-up support is available.
All are possible. On site works best for workshop formats, online is efficient for knowledge transfer, hybrid works for distributed teams.
German and English at comparable quality. Modules can also be mixed if needed.
Depending on format: ChatGPT, Claude, Mistral, local models, Microsoft Copilot or Google Workspace AI. We recommend what fits your data situation.
Tell us what is on your mind. We reply within 24 hours on working days with a suggestion for a call.