RevOpsAF The Podcast · 2026-05-22 · 33 min
Most companies have a board-level AI mandate. Almost none of them have an actual AI strategy. That gap is where RevOps practitioners are living right now, and it's one of the more exhausting places to be. In this episode, Taft Love (founder of Iceberg RevOps) and co-host Camela Thompson get into what's actually happening on the ground: vague executive mandates, the build-vs-buy trap, why data quality matters more with AI (not less), and what organizational discipline really determines whether AI transformation succeeds or stalls. This is a refreshingly grounded conversation for operators who are tired of the hype and need practical frameworks they can actually use. Key topics covered: → Why "AI replaces headcount" is the wrong frame - and what to use instead → The jobs-to-do framework for identifying real AI use cases → What Taft's multi-agent project management system actually looks like (and why it wasn't easy to build) → Build vs.
Everybody Has AI. Nobody Owns It.67 / 100
The Rise of the RevOps Architect
The Mid-Funnel Problem Nobody Talks About
The Boring Work Behind Great AI
Why AI Agents Need RevOps