This isn't a sales call. It's a structured 30-minute working session to identify where execution capacity is the real constraint in your organization — and whether an AI Worker addresses it.
15 years at the intersection of operations, AI, and execution. Philippe led AI transformation work at McKinsey before it was mainstream, then founded and operated a VC-backed network of tech-enabled medical clinics with automated production workflows running daily. Sterling North is where all of that converges.
Every call follows the same structure: understand your operations, identify the real constraint, and determine whether an AI Worker is the right lever … or not.
We start with your org — team size, core workflows, current tools. The goal is to understand how work actually moves through your organization, not how it looks on paper.
We identify the single highest-friction point in your execution chain. Where does work pile up? Where do your best people spend time they shouldn't?
We assess whether an AI Worker is the right solution — or if something else addresses it better. We'd rather tell you the truth than sell you a scope.
You leave with a diagnosis and a clear recommendation — whether that's a scoped proposal, a pilot design, or a framework to evaluate it internally.
