AI in Engineering Workshop

STARTING POINT

Engineering knowledge is distributed – not connected

Requirements, standards, CAD data, test results, lessons learned: the knowledge is there. But it lives in different documents, systems, and the minds of experienced colleagues. A piece of information rarely knows on its own which components are affected, which tests have already been run, or which decision was already made in an earlier project.

That gap was exactly the starting point for our workshop: not 'how do you build a chatbot', but how engineering knowledge becomes usable again – today and in the future.

“How do we ensure that valuable engineering knowledge is still available tomorrow?”
This question stood at the beginning – and runs through the entire workshop.

CONTENT

A modular topic toolbox – tailored to your organization

No two workshops are the same, because no two engineering organizations are the same. The topic blocks below are examples – together with you, we assemble the workshop content to match your level of knowledge, your process landscape, and your concrete questions. Not every topic fits into every workshop; we make the selection together in a preliminary call.

AHow AI really works today6 topics

What modern AI systems (LLMs) can do today – and where their limits are
How RAG (Retrieval Augmented Generation) connects company knowledge with AI
From individual chatbots to specialized engineering agents
Multi-agent systems: how several specialized agents work together
Hallucinations, evaluation, and overfitting: the biggest pitfalls in production AI systems
Why value emerges from the system, not from the model

BAI in everyday engineering6 topics

Why engineering knowledge is distributed today – and how it becomes connected again
From documentation to “engineering memory”: storing knowledge including decision rationale
Traceability: why every AI statement must be based on a verifiable source
How decisions become faster without losing quality
New metrics for knowledge work: time to decision, reuse of engineering knowledge
Where human decisions remain central – and where AI supports

CCase study from the automotive supplier industry4 topics

Real challenge: AI-supported assessment of specifications at a Tier-1 automotive supplier
The path from first prototype to production use – including the things that didn't work at first
How a system learns: concrete learning-loop mechanics based on real measurements
What an engineer actually receives as a result: assessment, reasoning, source, criticality

DOrganization & collaboration4 topics

How AI-native startups work – and what established engineering organizations can adopt
What an engineering organization could look like in 2030
Six levers for successful collaboration between industry and startups
Co-creation session: joint AS-IS/TO-BE analysis of a concrete process from your company

Format: full day or half-day · at your site or at Semorai in Heilbronn · Language: German or English · Group size flexible, scales with the size of your team

TARGET AUDIENCE

For engineering organizations that want to know exactly

Development leadership

You want to understand where AI can take hold in your own development process – before budget is released for a project.

Engineering teams

Your team works with specifications, standards, and requirements every day and feels where knowledge gets lost or search takes too long.

Innovation & digitalization leads

You evaluate AI initiatives and need a well-founded, vendor-independent assessment instead of a product demo.

FROM THE FIELD

“AI in Engineering” at Brose

On 30.07.2026, together with Brose Fahrzeugteile, we ran a full-day workshop at Bildungscampus Heilbronn – from framing what AI can do today, through a real-world case study, to a joint co-creation session on Brose-specific challenges.

“For me, the potential of modern knowledge databases combined with AI lies in making this knowledge structurally accessible and thereby sustainably improving day-to-day development work.”
— Development Lead, Brose Fahrzeugteile

Discussed together with John Achim Holzhauer (co-founder of Semorai), Michael Fahrbach (Head of AI Platform and Development Lead) and the Semorai team: how AI can meaningfully support development organizations – not as a replacement for engineers, but as a tool for faster access to knowledge and better-informed decisions.

Semorai x Brose – “AI in Engineering” workshop, Bildungscampus Heilbronn, 30.07.2026

AI in engineering. Taught hands-on, for your development organization.