Why AI Doesn’t Wait for Perfect Data with Stuart Watson, Head of RevOps at ResolveAI

In this episode, Jeff is joined by Stuart Watson, Head of Revenue Operations at ResolveAI, to unpack how modern AI workflows are changing what’s possible in RevOps.

From deploying hundreds of autonomous agents to clean and qualify messy account data, to using Claude Code to cut territories, build internal tools, and replace legacy dashboards, Stuart shares real-world examples of how AI can close data gaps instead of waiting for them to be fixed.

The conversation explores why “AI-ready data” doesn’t mean perfect data, how agentic workflows are turning RevOps leaders into digital workforce managers, and what skills will matter most as AI becomes embedded in go-to-market operations.