Chris Ikharo

I've been working with AI in a business context since 2019 — not as a researcher or an enthusiast, but as an operator who needed results. My first AI-assisted workflow wasn't an experiment. It was a solution to a real problem I couldn't staff my way out of.

Over the years since, I've built and exited four AI-native businesses. Each one taught me something different about where AI creates genuine leverage and where it creates the convincing appearance of leverage. That distinction — between real advantage and productivity theater — is the core of what Pavost is built around.

The pattern I keep observing across organizations: they treat AI as a collection of separate tools rather than a system with architecture. They optimize each piece in isolation, add to the stack, and wonder why the efficiency gains never compound into a structural advantage. They don't compound because compounding was never designed in.

Pavost exists for the executives and founders who are done evaluating tools and ready to build something durable — an AI architecture that improves your operations over time because it was designed to.