Automotive manufacturing leaders have no shortage of data, but only those who turn it into action are winning, and AI is the accelerator.In this milestone episode, Jan Griffiths is joined by Sanjay Brahmawar, CEO of QAD, and Dr. Bryan Reimer, MIT Research Scientist and author of How to Make AI Useful, for a grounded conversation about how AI is creating real advantage in automotive manufacturing.The challenge facing automotive manufacturing leaders is not visibility. Leaders know where problems exist. The issue is that action often stalls between insight and execution. Dashboards explain what happened. They do not decide what happens next.Sanjay and Bryan draw a clear distinction between systems of record and systems of action. Systems of record observe. Systems of action decide, execute, and learn. Agentic AI belongs in the second category. It creates value when it removes friction from work, accelerates routine decisions, and gives people better context at the moment action is required.Frontline teams in automotive manufacturing do not resist AI. They adopt it when it respects their expertise and helps them do their jobs better. Adoption follows usefulness, not mandates. When AI amplifies human judgment instead of supervising it, execution speed improves and results follow.This episode challenges automotive manufacturing leaders to stop treating AI as a reporting layer and start using it as an execution engine. The organizations pulling ahead are not waiting for perfect conditions. They are starting small, learning fast, and letting action build confidence.Themes Discussed in this episode:Why data visibility alone does not drive performance in automotive manufacturingSystems of record vs systems of actionHow AI removes friction from automotive manufacturing operationsFrontline-first AI adoption in plantsAgentic AI as an execution multiplierLeadership ownership of decisionsBuilding momentum with 60 to 90-day winsFeatured Guests: Name: Sanjay BrahmawarTitle: CEO of QAD About: Sanjay Brahmawar is the CEO of QAD, a cloud software company delivering cloud-based solutions for manufacturers and global supply chains. With more than two decades of experience leading global technology businesses, he brings deep expertise in digital transformation, AI, IoT, and data-driven platforms, built through senior leadership roles at IBM and Software AG.Connect: LinkedInName: Dr. Bryan ReimerAbout: Dr. Bryan Reimer is a Research Scientist at the MIT Center for Transportation & Logistics and a key member of the MIT AgeLab. He is also the author of How to Make AI Useful: Moving beyond the hype to real progress in business, society and life. His work focuses on how drivers behave in an increasingly automated world, using a combination of psychology, big data, and real-world testing to study attention, distraction, and human interaction with vehicle technology. He leads three major academic-industry consortia that are developing new tools to measure driver attention, evaluate how people use advanced driving systems, and improve in-vehicle information design, thereby guiding automakers and policymakers toward safer, human-centered mobility solutions.Connect: LinkedInAbout Your Host – Jan GriffithsJan Griffiths is the host and producer of the Auto Supply Chain Prophets podcast and The Automotive Leaders Podcast, and is recognized as the Champion for Culture Change in the automotive industry. A former automotive manufacturing and supply chain executive, Jan focuses on leadership, culture, and execution, bringing practical, real-world conversations to the forefront of industry change.Mentioned in this episode:QAD Champion AIHow to Make AI Useful: Moving beyond the hype to real progress in business, society, and lifeEpisode Highlights:[03:16] Data Isn’t Enough: Automotive manufacturers often have abundant data, but without ownership, trust, and decisive follow-through, insights fail to drive real results.[06:28] Trust Through Action: Leaders in manufacturing must embrace experimentation and small steps, because confidence in AI and new systems grows only when action precedes certainty.[10:53] 90-Day Mindset: Transformative leadership in manufacturing means challenging norms, leveraging AI, and rallying teams to achieve ambitious goals in record time.[15:20] Sandbox Leadership: Automotive leaders stall by overthinking and seeking perfect solutions, while real progress comes from small experiments, empowering teams, and proving concepts before scaling.[19:53] Manufacturing Love: Sanjay’s passion comes from his shop floor roots and belief that AI and modern tools can empower people, attract talent, and transform the future of manufacturing.[22:20] Process Passion: Bryan’s focus is optimizing workflows, amplifying teams with AI, and shifting the narrative from fear to the positive impact of technology in manufacturing.[24:46] Start Small, Win Big: Leaders can kick off AI adoption with role-based agents, targeted ...
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