deep-dive · June 9, 2026
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.
Read →Independent AI & Data Advisory
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 shipping 20+ production AI applications in a single year as Chief Innovation Officer at MedPro Healthcare Staffing. Today I do that work as an independent advisor through GITLAI, my fractional AI & data advisory practice.
The Track Record
MedPro Healthcare Staffing
20+
Production AI applications shipped in twelve months, with full adoption across the business.
Triage Staffing
$120M → $1.2B
Revenue growth through platform strategy and acquisitions.
First National Bank of Omaha
$67M
Profit improvement from transformation work across an $11B enterprise.
Latest
deep-dive · April 6, 2026
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.
field-note · March 24, 2026
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.
field-note · March 10, 2026
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.
“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).”
Working on something like this?
Capability built inside your team.
If you own or back a mid-market company and want your data working for you — without adding headcount — that's my advisory practice.
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