In this live interview we discussed the following questions:
1. Thomas, Rik — you’re part of the AI-Powered Engineering team at Schlateck. Could you briefly introduce who you are, what your team does, and how you combine consulting and hands-on project implementation for AI in engineering?
2. You often emphasize that AI isn’t just about automation but can also enhance creativity — helping engineers design, invent, or test faster. Could you share one or two practical examples that show how AI really changes the way engineers work?
3. Many companies associate AI adoption with large-scale digital transformation projects. You take a different approach — smaller, project-based, and very practical. How can R&D teams start using AI right away to gain efficiency and tangible results?
4. One major concern for many R&D departments is data security — especially when AI tools connect to cloud systems. How do you ensure that sensitive development data and IP remain protected and don’t leave the company or the EU?
This Event is
Der Workshop hat uns geholfen, die Unterschiede zwischen klassischer Softwareentwicklung und KI klarer einzuordnen. Besonders wertvoll war der praxisnahe Ansatz – keine Theorie, sondern nachvollziehbare Beispiele aus unserem Alltag. Das hat im Team echtes Verständnis geschaffen und gezeigt, an welchen Stellen KI heute schon sinnvoll in unsere Entwicklung eingebunden werden kann.


What we estimated as 4 weeks of multi-engineer work… was finished in 3 days. With AI from https://ai-powered-engineering.com/. And it passed our module tests on the first run. Context: We had to transpile a mature, codebase into a new language and toolchain at STW. We planned a month, multiple people. Together with AI-Powered Engineering, we used an AI-augmented workflow and transpiled the module in 72 hours. What surprised me most: We didn’t “skip” quality—our deterministic test harness showed behavior parity across edge cases. Traceability from legacy → target code was clear and auditable. The resulting code met our internal standards for maintainability. Our team refocused immediately on higher‑value R&D. Outcome: 4 weeks → 3 days (Factor 6+ cycle-time reduction) Feature parity verified by our internal suite Clean, standards-aligned target code I’ve been leading software development for years—and I would not have imagined this was possible at this level of complexity. We just raised our bar for what “fast AND reliable” means in industrial software. Thank you to the AI-Powered Engineering team for your rigor, speed, and partnership. This changes how we plan the next wave of R&D.


Die Art des Vortrages und die Organisation der Workshops hat mir gut gefallen. Es war möglich mit unterschiedlichen Wissensständen den Inhalten zu folgen und die Fähigkeiten der KI Tools zu begreifen. Es hat geholfen die Unsicherheit beim Einsatz von KI Tools zu zerstreuen um den richtigen Weg in dieses Thema für KMUs und auch größere Unternehmen zu finden

60 sec. Video
Watch our demonstration of a 6-axis robot safety and risk analysis in action. See how AI generates a comprehensive assessment with essential safety protocols and risk mitigation strategies in less than 3 minutes—showcasing how easy and fast AI can create SRAs for you. Access the complete documentation in our course section after login or on our LinkedIn page.
This video showcases an AI-generated 8-page requirements document for an ebike design project. See the complete professional documentation created in minutes instead of hours. Interested? Find the full tutorial for free at the bottom of this page.





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