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Building a Go-to-Market Engine from Scratch

Partnering with a US-based healthcare AI company to build its Go-to-Market function.

When a US-based AI healthtech company sought to bring to market its patient engagement product, the challenge was foundational. The product was ready. The infrastructure to sell it was not.

I was engaged to design and build the go-to-market engine from scratch — covering commercial strategy, revenue operations, and outbound execution simultaneously.

The engagement followed a deliberate sequence: strategy before infrastructure, infrastructure before outreach.

  1. The first layer established the commercial foundation: A first-principles revenue model, a formally defined ICP, a TAM-SAM-SOM model from US ambulatory provider data, and a CAC/LTV framework.
  2. The second layer built the infrastructure: A rebuilt CRM with 14 automated hygiene workflows, a cold email engine running at scale across dedicated sending domains, and a four-step high-velocity sales motion purpose-built for independent ambulatory practices.
  3. The third layer activated the pipeline: An SDR function built from zero, a healthcare-specific calling playbook, a 26-branch event ABM engine, and segment campaigns targeting practices by EHR platform.

By the end, the company had a documented, operational commercial infrastructure where none had existed seven months earlier. The sales motion validated a 5.5× LTV:CAC ratio and a 10.8-month payback period. Three contracts were signed within the first two operating months.

Every deliverable was built for transfer. The goal was never to create dependency — it was to build something the team could compound on.

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I write about the business of medicine - how healthcare practices get built and run better.

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