Building the AI-native enterprise from the inside.
I'm Jason Gilbreath. I've spent two decades building growth systems inside private companies. Most recently: 20+ production AI applications shipped in a single year, with full adoption, as Chief Innovation Officer of a PE-backed healthcare staffing firm.
Today I do that work as an external advisor through GITLAI, and I wrote the recipe down: The Job Description Comes First, how to employ AI agents the way you hire people.
Operator first. Advisor by design.
The thinking, written down.
The Job Description Comes First.
Hiring AI agents the way you hire people: a written job, a supervisor, a scoreboard, and a team that stays in the loop. The full argument, with the testing discipline behind it and every stat sourced.
Read it →What PE-Backed Transformation Taught Me About Enterprise Value
I've led AI and data transformation inside two PE-backed companies. The thing I was actually building wasn't AI products — it was enterprise value.
The AI Operating System: What Happens After 20+ Products
Most companies building with AI are focused on the products themselves. We're focused on what happens after you have 20+ of them running at once.
Two Eras of Growth: What AI Changes About the Model
I've now seen both sides of transformational growth in healthcare staffing. The pandemic era was about scaling the human model. What we're building now is fundamentally different.
Confidence, Curiosity, and Resilience — What AI Actually Helps Me Build
Leading teams, building companies, or raising my kids, my goal is the same: help people grow confident, be curious, and stay resilient in failure or success.
On the record.
"Jason is a brilliant leader at the forefront of innovation in staffing."
"He brings a rare combination of deep industry expertise, sharp analytical thinking, and cutting-edge AI knowledge."
"Jason quickly narrows on value while connecting the dots between the right technology, product/market fit, and business model. He's also one of the most productive people I've witnessed (almost intimidatingly so)."
Software is installed.
Agents are employed.
If you own or back a mid-market company and want AI employed properly, that work happens at GITLAI: a written job description, a named supervisor, a scoreboard, and working proof on your own materials.