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.
Challenges for the mid-market
Typical challenges are an email reply assistant, a daily briefing agent, an offer and invoice helper, an internal knowledge bot for processes and a report autopilot. In the mid-market especially, every hour won back counts directly. Your challenge comes from your real work.
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
Is AI training worth it with limited resources? Yes, because you build on a real process instead of an example. The prototype saves hours from the first week and the team keeps using the tools. That makes the ROI provable. More on the approach at /en/ai-training.
Which processes do we actually build on? Whatever eats the most time at your company, such as quotes, invoice checking, support or research. You pick the challenge and we bring the team up to speed with a tool workshop. The process is on /en/how-we-work.
Which format fits a mid-sized company? Spark runs 1 day for up to 10 people, Ignite 2 days for 10 to 15, Blaze 3 to 5 days for 15 plus. See the formats at /en/formats and the difference from a pure hackathon at /en/comparison/ai-training-vs-ai-hackathon.





