AI Implementation OS
A demo-ready prototype that turns messy discovery notes into a reviewable AI implementation package.
Read AI Implementation OS case studyI am an AI implementation and enablement operator with 10 years in enterprise SaaS, healthcare GTM, and hands-on AI-assisted workflow building. I own discovery, workflow design, validation, rollout, adoption, and measurable outcomes.
Start here
If someone only has a minute, these are the fastest reads: an AI implementation package, an adopted decision workflow, and a reviewable operations system.
A demo-ready prototype that turns messy discovery notes into a reviewable AI implementation package.
Read AI Implementation OS case studyA staff-facing basketball scheduling workflow that turns messy NCAA data and selection-committee constraints into repeatable decision support.
Read Basketball Scheduling case studyA private career pipeline operations system for sourcing, scoring, QA, follow-up, and human-reviewed decisions.
Read Job Search HQ case studyHow I work
Map operators, constraints, source data, edge cases, and success criteria.
Turn the workflow into specs, evaluation criteria, output formats, and review gates.
Use AI coding tools to help implement the workflow while staying accountable for fit and quality.
Test outputs, collect user feedback, refine the loop, and measure whether adoption sticks.