Getting an autonomous driving system to work in a demo is easy; getting it reliably into production is where the real engineering happens. Jan spent nearly a decade on exactly that, building autonomous driving systems that had to pass large-scale cloud simulation, scenario-based testing and safety assurance before they reached the road. In this talk, he shows how he applied those lessons to the MoinMeister Phone Agent, an AI voice assistant that answers calls and books appointments for car repair shops, from building a scenario library and regression evals to testing with simulated callers. Attendees will leave with a practical playbook for taking LLM agents from impressive prototype to a system real businesses trust with their phone line.
Jan Kleine-Klatte is the founder and CEO of MoinMeister, an AI operating system for car repair shops and dealerships. He grew up as the son of a workshop owner, trained as an automotive mechatronics technician, and then spent nearly a decade building AI and software for autonomous driving and renewable energy at companies like Continental, SICK and Enpal. At SICK he developed a safety-certified emergency brake assist system, including the company’s first machine-learning component in a safety-certified product. With MoinMeister he now brings that experience to automotive aftersales, one of the least digitized industries, where many shops still run on paper or on software written before smartphones existed.
