Work I've shipped
Different industries, same kind of job: take information people retype by hand, get it into the system correctly, and measure the result.
Laboratory systems · U.S. Air Force hospitals
Lab results into the patient record at two of the Air Force's largest hospitals
I ran the laboratory information systems at both hospitals. Every result had to reach the right patient's record, so the systems had to check their own accuracy before anything moved. Everything I build works the same way: anything it isn't sure of stops for a person.
- 742,000+
- test results a year into the patient record
- $855K
- saved by my automation projects
Enterprise AI program · my full-time role
A stalled AI rollout in a large company's sales organization
When I took it over, 2 people a week were using it. The tool didn't know how the business worked, and the agents were wrong often enough that nobody trusted them. I fixed those causes first: taught the system the company's data, org structure and vocabulary, and rebuilt the most-used agents. Then I trained people one on one and built a champion network that meets weekly. I now build and run the company's production agents across sales, trust and safety, and customer success.
- 2 → 88
- weekly users of 112 seats, in 60 days
- 28
- production AI agents
- 65%
- faster on the most-used agent
- 3.6x
- program ROI against license cost
Operations platform · owner-run brokerage
A transaction portal for a flat-fee real estate brokerage
The brokerage ran hundreds of open deals on spreadsheets, email threads and manual status tracking, and deals got lost. I designed and built one system for all of it: listing intake, state-by-state compliance tracking, task assignment, payments and e-signatures, and revenue reporting.
- 6 weeks
- from scope to launch
- 1,900+
- homeowners listed in the first 18 months, across 4 states
Research and outreach pipeline · 12 B2B clients
Prospect research that used to take a person 15 minutes
Through my own agency, I built a pipeline on each client's own systems that researched every prospect and drafted a personal first line, subject and email. It connected to their CRM and data tools, and I ran the email infrastructure behind it.
- 15 min → 30 sec
- research time per prospect
- 1,784
- qualified meetings booked