David Burgess Operator field notes

10 years in enterprise SaaS. I turn messy operating work into clear workflows people can review, trust, and use.

Building at the intersection of AI, healthcare GTM, and workflow automation.

Resume LinkedIn

About

I learned the work before I learned the tools.

Ten years in enterprise SaaS taught me where systems break: unclear ownership, messy handoffs, bad context, and tools people do not trust.

See the proof Resume

Background

I have 10 years across enterprise SaaS, healthcare GTM, technical scoping, multi-stakeholder customer work, and practical AI-assisted workflow building.

The common thread is operator translation: understanding the people, constraints, handoffs, and trust gaps that decide whether a system actually gets used.

AI-assisted building gave me a faster way to turn that judgment into prototypes, review loops, and systems people can actually test.

Best-fit work

  • AI implementation and enablement
  • Customer-facing AI adoption
  • Professional services for AI products
  • Healthcare AI workflow deployment
  • GTM and revenue AI workflow automation

What I am building toward

Work close to operators and customers: find the real constraint, design the workflow, build with AI assistance, validate the output, and help adoption stick.

My lane is workflow implementation and adoption. The value is the judgment to make AI useful in real operating work.