Intro
In mechanical engineering documentation eats the time your engineers need for design work. Technical documentation, quote creation, maintenance instructions and spare parts research often run manually and slowly. An AI training that only shows slides helps little here. With us your team spends a week building on a real industry challenge, for example an assistant that drafts quotes from bills of materials, or a bot that pulls maintenance instructions from manuals. Instead of a certificate you keep a working prototype you put straight into sales or service. 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 mechanical engineering
Typical challenges are an assistant for technical documentation, an offer and calculation helper, a maintenance and spare parts knowledge bot, a specification search tool and a meeting-to-action-items tool for project meetings. Your challenge comes from your real engineering 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
Which engineering tasks can the hackathon automate? Technical documentation, quote creation from bills of materials, maintenance instructions and spare parts research. Your team picks a real challenge from daily work and builds a prototype that takes recurring work off engineers. More at /en/ai-training.
Do our engineers need an AI background? No. With tools like ChatGPT, NotebookLM, n8n and Custom GPTs, non-specialists build real results too. The tool workshop at the start brings design, sales and service up to speed together, whatever level they start at. The process is on /en/how-we-work.
What does the company 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. Add an internal AI literacy measures record. Comparison at /en/comparison/ai-training-vs-ai-hackathon.
