In this episode of the Imagine AI Live Podcast, host Chris Madden welcomes back Jonathan Gilmore, CEO of Deep Flow, to discuss the company’s evolution from concept to venture-backed startup. Jonathan shares how Deep Flow is redefining human-AI collaboration through its “process as a product” model, helping organizations map and delegate workflows between people and AI. He highlights their focus on knowledge work, the massive $10 trillion opportunity, and how federated learning keeps enterprise data private. From streamlining compliance-heavy tasks to enabling creative work, Jonathan explains how Deep Flow is driving AI transformation—and why he believes this is “the slowest AI will ever move.”

(0:00) Introduction to the episode

(0:12) Welcome Jonathan Gilmore

(1:40) The founding story of Deep Flow

(2:28) A use case for Deep Flow inside a company

(5:13) How does the Deep Flow onboarding process work?

(6:50) Protecting a company's intellectual property

(8:38) How big is the team and what's next?

(9:24) Who is backing Deep Flow?

(10:13) Approaching the next hurdle of sales

(12:57) How the product will get into their company

(13:13) Sourcing proprietary agents

(14:45) How fast is the AI space moving?

(16:22) Final thoughts