I'm an industrial engineer by training. I ran fast-paced, high-intensity operations at Amazon with 70+ direct reports and 14-hour shifts. Though surrounded by automation, I still watched the same wastes pile up every day. Time waste. Labor waste. Processes running volume they were never built to handle.
The answer was always the same: add more people. Nobody stopped to ask if the system itself was the problem.
I did.
That lens followed me into the AI space. I joined TurboClaim, an AI startup solving a real operational problem for insurance adjusters.
That's where it clicked.
The question was never can AI do this? It was always can we break the process down simply enough for AI to handle it?
Then we lost an investor. I got cut. And instead of going back to corporate, I built something.
Here's what founders do instead: they buy a tool. They try it for two weeks. It helps a little. They buy another. Then another. Six months later they have five subscriptions, a vague sense that AI is useful, and no idea where any of it actually fits in their operation.
That's not an AI problem. That's a systems problem.
I help founders think like systems people. Find where the waste is. Place AI exactly where it belongs.
Not everywhere. Not as the answer. As a component — in exactly the right part of the system.