Webinar

AI in Engineering: Practical Use Cases Across the V-Model (English language)

In collaboration with Dr. Thomas Meenken (Schlateck)

Hosted by

Steven Moore

05.03.2026

https://attendee.gotowebinar.com/register/4459295259348076640?source=Website

Many manufacturing organizations see the potential of better tooling and AI in engineering.
But without a clear starting point or structure, improvement efforts stall and optimization opportunities remain untapped.

In our upcoming webinar “AI in Engineering: Practical Use Cases Across the V-Model,” Steven Moore (CEO, BoWatt) and Dr. Thomas Meenken (CTO, Schlateck) explain how to introduce AI tools in engineering and demonstrate concrete use cases along the V-model.

Initial question - how does an organisation begin to introduce AI?

With AI dominating headlines, organizations are asking how this technology applies to them—and how they can effectively test and evaluate it. We will cover how to introduce AI in engineering in a structured and practical way, and how to avoid common mistakes that often cause AI initiatives to fail prematurely.

Practical examples - AI use-cases along the V-model.

From early requirements to validation and testing in the V-model, we will share proven opportunities that create benefits across engineering departments. Steven Moore and Thomas Meenken bring together software insight and firsthand knowledge of manufacturing challenges to highlight these concrete use-cases.

Swiss Army knife vs can opener? General vs specialised AI tools?

You may have already identified challenges and inefficiencies in your processes—but the real question is how to choose the right solution to address them. A useful way to think about AI tools is the difference between a Swiss Army knife and a can opener. A general AI solution can handle many tasks reasonably well, while a purpose-built AI tool focuses on one problem and solves it extremely well. Choosing between these two approaches has a direct impact on how quickly you see results, how well the tool fits into existing processes, and whether the AI delivers real value—or just adds complexity.