AI for healthcare practices. Patient lifecycle, automated.
Edgerton and Edgekeeper for primary-care, specialty, and clinic operations — built around the workflows that determine patient acquisition, retention, and operational margin. Every no-show and unreturned call is margin leaking out of the schedule.
Who it's for: Independent clinics and small specialty groups (3-50 providers), where patient coordination, intake, and recall consume staff hours that should be clinical.
Edgekeeper runs on a server dedicated to your clinic and ships with documentation your compliance officer can read — the controls we hold every server to, and the check that proves each one. On top of it, one Edgekeeper brain learns your clinic — panel, payers, escalation rules — and Edgerton works it: confirms tomorrow's schedule, chases the no-shows, routes intake to the EHR, and audit-logs every action it takes.
What you get.
- AI patient coordinator answers, books, confirms, and re-engages no-shows
- Intake forms route directly to your EHR, no double entry
- Recall and outreach automation across the patient lifecycle
- After-hours triage with documented escalation thresholds
- Hosting your compliance officer can audit — a published control standard, checked on every server
What's included.
- →Edgerton — measures where your staff's hours actually go, with their consent, before you spend a dollar
- →Edgekeeper — one private brain for your clinic on a server dedicated to you: patient data never shared, every access logged
- →An AI patient coordinator that answers, books, confirms, and brings no-shows back
- →Patient portal, no-show dashboards, and a connection to your EHR
- →Answers from your own records: provider margin, no-show patterns, under-coded conditions
How we do it.
- 01
Assess
We map your practice — EHR, panel size, provider mix, state-specific compliance scope — and measure staff workflows with Edgerton — at a level of visibility your staff agrees to, in writing, with their consent. Output: ROI model and build plan with compliance documentation outline.
- 02
Build
Fixed-price build on Edgekeeper. Integrated to your EHR (Athena / Epic / eClinicalWorks / Practice Fusion). For practices handling patient data we deploy on the API tier with a zero-retention agreement, and the paperwork is signed before any patient data moves.
- 03
Operate
Edgerton monitors. We tune handoff thresholds, recall cadence, and intake routing monthly. Compliance docs stay current.
Examples.
An assistant that knows the clinic
Knows your panel, scheduling utilization, and revenue cycle. Answers the questions before you log in.
Edgekeeper
Patient data on a server dedicated to your clinic. A log of every access.
The front-desk seat, covered
An AI patient coordinator that takes the front-desk-and-billing seat that's hardest to keep filled.
Portals and dashboards
Patient portal, no-show recovery dashboards, connections to Athena / Epic / eClinicalWorks / Practice Fusion.
Your records, answered
Which providers margin best? Where's the no-show pattern? Which conditions are under-coded? Asked in plain English, answered from your EHR and practice software.
Proven architecture, mapped to your clinic.
The setup we run in production is the one healthcare needs — every access logged, one brain per business — and Edgerton has run live engagements for outside businesses through partner MSPs. Your Assessment maps it to your EHR and patient panel.
The promises we put in writing.
If we don't find ROI, you get the fee back.
Edgerton measures how your team's work really happens — with your team's knowledge and consent — and puts a dollar figure on what it finds. If there's no clear ROI path, the verdict is 'don't build' — and the Assessment fee comes back. The report is yours to keep either way.
Production by a fixed date.
Set during the Build. If we miss it, additional weeks of build are on us.
You keep your data — whatever happens.
Your records, everything the brain learned about your business, the log — yours in the contract, with full export rights. The server and the software are ours; the knowledge is yours. Leaving is a documented handover, not a hostage negotiation.
Your rules decide what the AI sees.
Only what you approve goes in. Nothing you don't approve comes out. And every access is written down — so "what did it see?" always has an answer.
A named engagement lead.
Not a queue, not a rotation. You know their name, they know your business — and they pick up the phone.
Questions we get.
PHI is on us if you fail.
The setup is documented. Because it runs on a dedicated server we control end to end, the ways it can fail are known in advance, and your compliance officer signs off before anything goes live.
Patients won't talk to AI.
They will if it solves their problem fast. Recordings reviewed weekly, handoff thresholds documented.
We use Athena / Epic / eCW / Practice Fusion — will it integrate?
Yes.
What about state-level regs (e.g., 42 CFR Part 2)?
We architect for it. Assessment is where state-specific requirements get scoped.
Will this disrupt clinical workflow?
No. We design around your clinical workflow, not the other way around. Front-desk and admin lift first; clinician-facing tools second, only if asked.
Related guides.
Go deeper in the Learn library.
Start with an Assessment.
Ten business days of measurement. Whatever the verdict, the deliverable is yours.