Most AI initiatives stall between the pilot and the P&L. We work the other way round — find the handful of workflows where AI actually changes the economics, build them, and hand them over running.
Founders, owners, and leadership teams at small and midsize companies who can see what AI should do for the business and cannot get a straight answer about how to start.
You do not need a platform, a data warehouse, or a transformation programme. You need three workflows that work and someone who has done it before to build them with you.
Start where your actual problem is. We will tell you if you have picked the wrong door.
When you have ambition but no agreed starting point. A structured read on what the business can safely and usefully do with AI, and in what order — so the first build is the right one.
When you already know the problem and want it solved. You have a concrete bottleneck and a strong hunch an agentic workflow fixes it. We scope it, build it, and put it in your hands.
On governance. Starting with a build does not mean skipping it. It means sizing it to one pilot — who owns it, what data it touches, what would make us stop — rather than standing up a programme before anything works.
Usually a few weeks to find and scope, a few more to build. If the honest answer is that AI is not your constraint right now, you will hear that instead.
This is the same instinct as the rest of the practice: find what is actually holding things back, fix the thing that matters first, and leave the system easier to run than you found it. On the revenue side that work is called Line to Revenue. Here it is smaller, faster, and closer to the workbench — but it is the same method.
Twenty minutes on what the business does every week, where the time goes, and whether AI is worth pointing at any of it.