Work
The problem, the calls I made, and what the numbers did.
Every figure below comes from a system that ran in production for a real client of Everglade Systems. Three builds are written up in full, the way I'd walk a hiring manager through them. The rest are in one table.
In depth
A specialist physician group, 30+ physicians
$450K
in compliance fines avoided, March to August 2026
A private, air-gapped AI for a 30-physician group: $450K in fines avoided in five months
A specialist physician group was missing compliance deadlines and paying for it, and couldn't use any AI that touched the internet. I led discovery, scoped a private on-site AI to three jobs, and defined the metrics. Five months after launch, $450K in penalties simply hadn't happened.
My role: Discovery and problem definition, scope and prioritization, success metrics
Timeline: Live March 2026; results measured through August 2026
An immigration and personal injury firm, 6 attorneys and 12 paralegals
+$30K
more revenue every month within six months, same 18 people
An in-house AI assistant for an 18-person law firm: $100K to $130K a month without hiring
An immigration and personal injury firm was stuck at $100K a month because growth meant hiring, and every question in the office went to the same overloaded paralegals. I found the real bottleneck, scoped an assistant that had read every file, and measured the result: 50 hours a week back and 30% more revenue in six months.
My role: Discovery and problem definition, scope and prioritization, success metrics
Timeline: Six months from launch to the $130K month
A real estate company
$2.3M
in new revenue over six months, about 75% of it profit
One AI pipeline for every lead: $2.3M in new revenue for a real estate company in six months
Leads arrived from four sources and each source lost a few. I mapped where leads died, scoped a single pipeline that handled every lead the same way, and set the metric that mattered: leads that became closed deals. Up 35% in six months, worth $2.3M at roughly 75% profit.
My role: Discovery and problem definition, scope and prioritization, success metrics
Timeline: Six months from launch to the $2.3M figure
In brief
Seven more builds. Same rule: real numbers from live systems, and the part I owned.
About the missing names
Clients aren't named. Some work in fields where privacy is the whole point, and some folded these systems into their own offerings. Every number was measured against how things ran before. Some of the work was delivered with trusted partners under Everglade's direction. Happy to say more in conversation.
Want the parts that didn't make the page?
Every one of these has a decision I'd defend and one I'd take back. I'm glad to go through them.