Revenue systems built right. Then taught to run themselves.
Most revenue teams aren't held back by their people or their tools. They're held back by a system nobody designed, where deals stall, the forecast lies, and the software sits unused. Build the system correctly first. Then let AI run it.
Revenue systems built right. Then taught to run themselves.
One architect, four disciplines.
Architect
GTM operating systems designed end to end, not point fixes.
Build
Salesforce/Hubspot configuration and custom data modeling, 5x Salesforce certified, 7x Hubspot certified.
Leadership
Cross-functional alignment across sales, marketing, CS, and ops, making sure everyone rows in the same direction.
AI
Production AI agents that extend the system, built by hand.
Systems first, agents second.
I architect the revenue system, then build the AI layer that runs it. Both catalogs are scoped, documented, and ready to deploy.
45 RevOps builds, designed and deployed before you ask.
The build library is the system layer: data models, automation, scoring, forecasting, and lifecycle frameworks, each one designed and implemented in production Salesforce orgs for growth-stage revenue teams.
51 GTM agents, mapped before you ask.
A working catalog of AI agent builds across Sales, Marketing, Customer Success, and RevOps, scoped by business impact. If your team runs on Salesforce or HubSpot, most of these can be live in weeks, not quarters.