A wrong provider specialty is a pricing error, not a data error
Three things can go wrong when a medical bill is keyed by hand. Two of them eventually surface. The third prices every bill from that provider wrong and never raises a hand.
Founder & CEO
Greg Mills
Founder of Datos Software and a former Enlyte employee with hands-on SmartAdvisor® and Capstone® experience.
35 years
In software
18 years
Integrating data systems for workers’ compensation platforms
10+ years
Working deep inside complex insurance technology platforms
Background
Platform-level knowledge, applied to cost containment.
Greg Mills is the Founder and CEO of Datos Software. He brings a 35-year career in software, including 18 years integrating data systems for workers’ compensation platforms and more than a decade working deep inside complex insurance technology platforms — experience that includes direct, hands-on work with Enlyte’s SmartAdvisor and the Capstone rules engine.
He founded Datos to apply that platform-level knowledge to the cost-containment problems that carriers and TPAs face every day. Under his direction, Datos has rebuilt manual demand processes into streamlined workflows and reduced manual data-entry errors by up to 98% — while keeping examiners in full control of every decision.
The fastest way to cut claim costs isn't fighting bills — it's accelerating the right decisions, with the right data, at the right time.
Areas of focus
What Greg gets asked about.
- Enlyte SmartAdvisor implementation and configuration
- Capstone Business Decision Manager rule development and audit
- PPO repricing, contract selection, and network routing
- EDI and 837 data exchange between claims and bill review systems
- Medical bill review operations in workers’ compensation and auto casualty
Writing
Articles by Greg
I designed nine AI employees. None of them has worked a day.
A mid-build status report instead of a launch announcement — nine scoped agent roles, one real report, and zero unattended runs so far.
What my AI assistant is not allowed to do
The interesting engineering in an AI agent is not what it can do. It is what it cannot — and those limits have to be code, not prompt text.
"Enabled" is a claim, not evidence
Software you depend on will not fail loudly — it reports that it is fine. The green lights in my own systems that meant nothing, and what to test instead.
Want Greg on a call?
Direct is fine — he answers his own email.