AI is everywhere in manufacturing right now, but most companies are still stuck in pilots, hype cycles, and half-finished experiments. In episode 83 of the Missing Half podcast, Bill sits down with Sebastian Chedal, Founder & CEO of Fountain City and Co-Founder of TestFox AI, to break down what it actually takes to move beyond proof-of-concept and into repeatable, scalable AI outcomes inside mid-market and enterprise manufacturing companies .

Sebastian has spent decades leading digital transformation initiatives and now works directly with manufacturing leaders implementing AI in real operational environments. Together, he and Bill unpack why so many AI initiatives stall after early wins, where executive expectations disconnect from technical reality, and how poor data hygiene and undefined processes quietly sabotage promising projects. They explore the importance of humility in AI adoption, why smaller, focused implementations outperform grand transformation mandates, and how leadership maturity ultimately determines whether AI becomes a competitive advantage or an expensive experiment.

The conversation also dives into one of the most pressing issues in manufacturing today: capturing tribal knowledge before it walks out the door. With a generational workforce shift underway, AI presents a powerful opportunity to preserve institutional expertise, democratize it across teams, and accelerate onboarding for the next generation of engineers and operators. Bill and Sebastian also discuss how private equity and investors are evaluating “AI-enabled” companies, how to distinguish real operational leverage from performative AI branding, and why the asymmetrical upside of AI makes experimentation not just worthwhile, but necessary.