Looking to scale your GTM/Customer Success/Digital or Scale Success org? Let’s talk:
How I Work
AI has changed the operating environment. The information, analysis, context, tools, and execution needed to solve a problem can increasingly exist in one connected place. That changes how I approach the work.
Start with a problem and bring it to AI. Provide the objective and context, then work through it together. Challenge assumptions, explore the evidence, find the gaps, and consider different approaches. Once the direction is clear, turn the thinking into a plan and start moving.
For years, scaling Customer Success meant standardization: segments, journeys, health scores, triggers, and playbooks. Those systems existed because humans couldn’t reason individually about thousands of customers. AI changes that constraint.
We can increasingly ask:
Given everything we know about this customer, what should happen next?
My approach is simple:
Problem → Signals → Understanding → Decision → Intervention → Measurement → Learning
