Co-Owl is an AI revenue workforce — dozens of revenue skills we built for Sales, CS, and Ops, all working in parallel. Drafting the email. Updating the CRM. Running the play. Before anyone would have asked.
It is rarely the people. It's almost always the same two systemic failures — and they cost more revenue than any feature gap ever will.
By the time the human noticed, the expansion window had closed and the renewal had drifted. Not because the team is bad — because nobody had time to be proactive on every account.
Revenue motions are inherently cross-role — Sales, CS, AM, RevOps, Marketing. But the hand-offs are manual, slow, and lossy. The play that needed 5 people in sync got 1 person guessing.
Co-Owl fixes both — with a library of skills built precisely for the moments revenue teams miss.
Co-Owl isn't a chatbot. It's a workforce of discrete, revenue-trained skills — drafted by revenue operators, mapped to the moments that move NRR. Each one composes into a play.
Every skill is a tested motion — not a prompt template. That's why Co-Owl produces work your team can actually ship, not output your team has to clean up.
Pick a play below — watch Co-Owl run it. Multiple skills fire in parallel across Sales, CS, and Ops, composed into a single coordinated motion.
This is what proactive looks like at machine speed — and what collaboration looks like with zero hand-offs lost.
When dozens of skills work in parallel and the hand-offs stop leaking, the math changes fast.
Co-Owl is module 03 — the Act layer. Here's what feeds it.
the revenue radar
Dozens of agents and skills fuse outside signals with your CRM — surfacing expansion opportunities and risk signals mapped to proprietary playbooks.
Explore Intel Feedyour AI revenue analyst
Ask anything about any account, get an evidence-backed answer — every company, every angle, on demand.
Explore Cortex