AI is entering automotive software development in waves – from chat assistants on the engineer’s desk, to AI agents that orchestrate verification, to AI-generated production code, and finally to machine-learning models running inside the vehicle itself. Four very different problems share the same label – and the verification question is different at every level.
Wednesday, June 3rd
10:00 – 11:00 CET (Berlin) / 4:00AM EST (Detroit) / 13:30 IST (Bangalore) / 16:00 CST (Beijing)
15:00 – 16:00 CET (Berlin) / 09:00AM EST (Detroit) / 18:30 IST (Bangalore) / 21:00 CST (Beijing)
Building on our previous sessions on Generative AI-powered test authoring and MCP integration, Leif Driebold and Markus Gros are back to give you the bigger picture. Together they will walk through the four levels of AI adoption in the automotive engineering process – Co-Pilot, Process Automator, Code Generator, and In Vehicle – and explore what each level demands from verification, where BTC EmbeddedPlatform fits in, and why a single verification toolkit can serve all four.
What you’ll learn: The four levels of AI adoption in automotive software development – and why “AI” means something different at each one
- Level 1 – Co-Pilot: where generative AI actually pays off in daily engineering work today
- Level 2 – Process Automator: what changes when AI moves from generating text to calling tools – and the role MCP plays
- Level 3 – Code Generator: AI writes the production code – so where does the trust to ship it come from?
- Level 4 – In Vehicle: machine-learning models inside the product (not LLMs) – how do you verify what cannot be fully predicted?
Join us for a live walk-through of all four levels in BTC EmbeddedPlatform – and a concrete view of where AI in automotive engineering is heading.
Watch the recording
Leif Driebold
Portfolio Innovation Lead · BTC Embedded Systems · Oldenburg, Germany
Leif Driebold is Portfolio Innovation Lead at BTC Embedded Systems, where he drives innovation in AI-assisted development and verification of safety-critical software. His work spans requirements engineering, trusted code generation, and automated testing, alongside the company’s AI and cloud strategy. He focuses on bringing these technologies into practical engineering workflows. After studying Computer Science at the University of Applied Sciences in Bremerhaven, Leif joined BTC Embedded Systems in 2018 as part of the Product Management team. In 2023, he moved to BTC Japan to lead the Sales Engineering Department, working closely with customers on formal specification, verification, and test automation. He returned to Germany in 2025 and is now based at the company’s headquarters in Oldenburg. He regularly speaks at conferences and webinars about applying AI to software development and testing.
Markus Gros
Senior Vice President Marketing & Sales · BTC Embedded Systems · Berlin, Germany
Markus Gros studied Mechatronics at the University of Darmstadt and at the Universidad Politecnica de Catalunya in Barcelona. After his Diploma in 2007, he began working for dSPACE in Paris where he provided support, trainings and consulting to French customers in the Automotive and Aerospace Domain for topics including model-based development, automatic code generation, AUTOSAR and ISO 26262. In 2012, he joined BTC Embedded Systems AG where he is today responsible for global marketing & sales activities. He also serves as President of BTC Embedded Systems Inc. in Detroit, Representative Director of BTC Japan and Vice Chairman of the Board of Directors of BTC Software Technology Shanghai.
