Go-to-market is being rebuilt around AI.
I'm in the rebuild.
Latest thinking
All writing →Your pipeline gets a weekly review. Your AI doesn't.
Revenue orgs built a review ritual for every asset they own, then handed AI the workload of a team with the oversight of a vending machine. Here is the meeting that fixes it: who runs it, what's on the dashboard, and what triggers an intervention.
AI isn't killing IT services. It's killing the billable hour.
The same force squeezing the Big Four is squeezing the local MSP, just from the opposite end. AI is collapsing the billable hour, and the go-to-market motion built on it has to be rebuilt. Here is what replaces it.
Your next 1,000 customers will ask an AI first. Does it name you?
Google AI Overviews now appear in 55% of searches. ChatGPT answers 800 million people a week. When a buyer describes their problem to an AI, your product either gets named or it doesn't. There is no page two.
Currently
AI Playground.
Building an interactive tool where sales and marketing teams can pressure-test their own messaging live, on this site. Powered by the Mistral API.
soonRevOps & Agents.
Mapping how revenue operations changes when every rep has an AI agent. What gets automated, what gets harder, and who owns the eval layer.
Eval-Driven GTM.
Reading everything on measuring AI output the way we measure pipeline. Signal-based outreach, intent data, and the discipline RevOps already has for this.
Building at the same intersection?
Always glad to compare notes.