Intro
In finance and insurance the load sits on recurring casework. Reporting, claims handling, contract analysis and compliance research tie up the specialists you need. An AI training that only shows slides changes none of that. With us your team spends a week building on a real domain challenge, for example an assistant that searches contracts for clauses, or a workflow that pre-sorts claims. Data protection and GDPR stay the guardrail throughout, we work with tools and setups that fit your data sovereignty. Instead of a certificate you keep a working prototype you put straight to work. Transfer from classic training is unclear without measurement. In the hackathon it is checked through prototype quality, application and handoff. In just 1 week from first contact to result, including an internal AI literacy measures record.
Next steps to your hackathon
- Intro call. Clarify starting point, teams and goals.
- Tools and challenges call. Pick the real challenge, set the toolstack.
- Finalization and preparation. Set up access and data, GDPR compliant.
- Tool workshop and sprint. Hands-on on your own case with live coaching.
- Result pitches. Each team shows its prototype.
Industry challenges for finance and insurance
Typical challenges are a document and policy reader, a claims and inquiry triage assistant, a report autopilot for recurring analyses, a compliance and knowledge bot for guidelines and a meeting-to-action-items tool. Your challenge comes from your real daily work, always within the agreed data protection scope.
AI training vs. AI hackathon (short)
A classic training ends with a certificate and retention that is unclear without transfer measurement. The hackathon ends with a working prototype and measurable practical transfer. See the full comparison at /en/comparison/ai-training-vs-ai-hackathon.
FAQ
Which finance and insurance tasks can the hackathon automate? Reporting, claims handling, contract analysis and compliance research. Your team picks a real challenge from daily casework and builds a prototype that takes recurring work off specialists. More at /en/ai-training.
What about data protection and GDPR? Data protection is part of the challenge from the start. We choose tools and setups that fit your data sovereignty, and work with ChatGPT, Microsoft Copilot, NotebookLM and n8n so sensitive data stays protected. The internal AI literacy measures record is included, more at /en/eu-ai-act.
What does the team keep after the week? A working prototype you keep using, plus a team that actually uses the tools instead of forgetting them. a substantial share never applies training content otherwise, our format flips that. Comparison at /en/comparison/ai-training-vs-ai-hackathon.
