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. The report writer 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