AI in Automotive Engineering: Moving Fast Without Losing Control
AI is shifting from isolated pilot projects into real-world requirements workflows, often faster than organizations can adapt. Engineering teams are building and using their own AI agents to streamline work, reduce manual effort, and improve efficiency.
At the same time, engineering data is growing exponentially. Organizations are aiming for automated traceability, while navigating increasing demands for functional safety and cybersecurity. This pace of change is creating new challenges and raising critical questions for automotive leaders.
In this webinar, Matt Mickle, Director of Automotive Solutions, and Conner McNeil, Automotive Director, from Jama Software, explore how teams are balancing speed, innovation, and control in this evolving automotive landscape.
What You’ll Learn
- How to maintain engineering governance as teams independently adopt AI tools and agents
- The role of deterministic safety and security standards in AI-driven development environments
- How to validate and build trust in AI-generated requirements for safety-critical systems
- Strategies for managing the growing volume of generated engineering data while keeping humans in the loop
- How to stay aligned across faster software cycles and slower hardware development timelines
- Ways to maintain traceability and impact analysis across increasingly complex product configurations and variants
Learn how leading automotive OEMs and suppliers are addressing these challenges today and the strategies they’re putting in place for the future.