In this episode, Paul Dio sits down with Jonathan Feldman, founder of NextCoreFlow, an automation and AI integration consultancy for small and medium-sized businesses. Jonathan is not a theorist. He's built and exited two businesses of his own — a college advertising magazine he ran across twenty markets and a planner business he grew past thirty million dollars a year on Amazon — before launching NextCoreFlow in the summer of 2025 to sit at the front edge of what he believes will be the most seismic decade of business change since the late nineties.

Jonathan walks Paul through the "cold start" problem he sees over and over with founders — the ones who know AI matters, use it themselves, and still can't figure out where it belongs in their business. His answer is counterintuitive. The starting point isn't an AI tool. It's the operation itself. Where does work move? Where is it duplicated? Where are the workarounds nobody documented? Only after those workflows are visible does layering in automation and AI actually pay off.

The conversation gets specific. Jonathan describes the acquisition scenario every founder-led services company should think about — the file cabinets, the extra ops headcount, the fragmented systems that quietly haircut the valuation on the way out the door. He walks through what a discovery call actually looks like, why the tokenized survey to every employee is the most valuable step in his process, and why the frontline view of the business is almost always different from the owner's.

The episode closes on the humanity of the work. Jonathan is clear that he doesn't take engagements aimed at reducing headcount. He's after the two hours a day a producer spends creating invoices instead of writing new business, the menial layer that AI can strip out so the humans can go do what humans are best at. And he's built his engagement model around that idea — quick fixes, under ninety days, under fifteen thousand dollars, with ROI that has to justify itself.