The RevOps stuff* you've been missing

AI cost optimization for revenue operations starts with one admission: most of what your stack does all day doesn't need a frontier model, and you're paying frontier rates to do it anyway.

RevOps agents waste money reprocessing the same deal on every call. Work it out once, route each step to the right model, and cut agent spend 30–70%.

You're running a stack of agents you can't observe. That's the orchestration tax: reconciliation work, token spend, and outcomes RevOps can't attribute. The fix isn't a smarter orchestrator. It's one shared context layer every agent reads from, and that you can see.

The architecture decision behind Loop, the layer that finally lets one agent understand every deal in your pipeline. The agent didn't get smarter. We engineered the context underneath it.

Most sales teams chase downstream chaos. This playbook finds the source of pipeline dropoff, so you can drive deals with clarity.