Driving Measurable AI Impact in Operations

Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?

I currently lead the AI strategy for sales and operations at a global manufacturing company. Before this, I spent about twenty years working in operations, supply chain, and digital transformation—mainly focused on process improvement. That’s how I earned my Lean Six Sigma Black Belt, and it’s also where many of my instincts around AI were formed.

These days, my main focus is applying agentic AI in industrial environments. In practice, that means figuring out which parts of the value chain can be handed off to autonomous systems, what needs to change around those systems for the transition to really pay off, and where people still need to stay involved. Most of the failures I see aren’t technical—usually, it’s because a smart agent gets dropped into a process that no one bothered to rethink. The work keeps flowing the old way, so any gain from the technology never really spreads beyond one person’s desk.

I’ve had the chance to take multi-agent systems all the way from design into live production, and I also led a division-wide AI task force …