The Practice
Operating System.
An AI Practitioner on every patient’s home screen. Your clinical operations running underneath. The complete patient arc — before, during, and after the visit —
on one continuous record.
- 32
- Specialties Live
- +$20K
- Revenue Per MD / Year
- +250 Hrs
- Time Back Per MD / Year
- 62
- Patent Applications
- 100%
- Physician Controlled
Revenue figure is a stack: ambient documentation (Holmgren et al., JAMA Network Open, Jan 2026, DOI 10.1001/jamanetworkopen.2025.53233) + E/M level capture (Cureus 2022, PMC 9107352) + care-management billing (2025 CMS Physician Fee Schedule). Hours figure derives from Sinsky et al., Annals of Internal Medicine, 2016. ROI varies by specialty, payer mix, and patient panel composition.
On the patient’s home screen.
On top of your operations.
The same platform that puts your practice in the patient’s pocket is running the clinical record, billing, and recovery underneath. Two halves. One operating system. The practice owns both.
A practice-branded app the patient installs in fifteen seconds.
Patients leave the exam room with the doctor’s face on their phone — no app store, no friction. They tap the icon and they’re already talking to your AI Practitioner. Calibrated to your voice. Trained on your protocols. The patient’s relationship with the practice goes everywhere their phone goes.
An operating layer running the clinical record, billing, and recovery underneath.
The same platform handles the continuous clinical record, the scheduling system, the recovery monitoring, and the care management billing. Plays well with the EHR you have. Replaces what isn’t pulling its weight. The practice decides which.
Today’s AI doesn’t fit yesterday’s EHR. So we built around it.
Every practice runs on 5–10 vendors that don’t talk to each other. EHR, scheduling, intake, telehealth, billing, recovery, messaging. Each was built in isolation, in a different decade, for a different problem.
And while the vendor stack fragments the practice horizontally, a second tax runs vertically: documentation. For every hour of direct patient face time, physicians spend nearly two additional hours on EHR and desk work — most of it after clinic. The pajama-time tax. Sinsky et al., Annals of Internal Medicine, 2016.
Nobody captures the complete patient arc on one record. MednBot does, and turns it into billable revenue your practice is already earning but not capturing — and it returns the documentation hours to the people in front of the patient.
Replace 5–10 vendors. Or sit alongside them. Either way, one continuous record.
MednBot captures the workflows your practice already runs on a single record the rest of your stack was never built to share. You decide the pace.
5–10 disconnected vendors
Built in isolation. Different decades. None talk to each other.
One AI Practitioner. Six Agents. One Record.
All the same workflows, captured continuously, on a single clinical record.
One continuous clinical record. End to end.
MednBot captures every patient interaction, before, during, and after the visit, on a single record, and turns it into billable documentation and net-new revenue.
Pre-Visit Intake
Structured clinical conversation before the visit by text, voice, or video. Photo capture for visual concerns. Appointment booking and confirmation. Staff receive a complete pre-visit summary instead of a stack of paper forms.
Ambient Documentation
Real-time encounter capture during the visit. No typing. No dictation. Patient-reported history merged with physician exam findings into one clinical document. Contradictions flagged automatically.
Recovery Monitoring
Adaptive check-ins on pain, photos, function, and medication compliance. Worsening trends escalate to staff automatically. Stable patients are handled without staff contact.
Care Management Billing
Every clinical interaction documented for care management billing. Time tracked, thresholds flagged, evidence packaged for physician attestation. Net-new revenue your practice already earns but isn't capturing.
Your Practitioner. Their Agents. Your Practice.
The AI Practitioner is the face your patients meet. Behind the practitioner, six specialized agents do the work. Each purpose-built for one job, all orchestrated under your protocols.
A bespoke AI Practitioner for every physician
Calibrated to your voice, likeness, and clinical style during onboarding. Not a generic chatbot. Your patients meet you, 24 hours a day, across every channel they already use.
Intake Agent
Runs structured clinical conversations before the visit. Captures photos for visual concerns. Delivers a complete pre-visit summary to staff.
Scheduling Agent
Books appointments, sends confirmations, manages reschedules. Acuity-aware. Multi-location ready.
Documentation Agent
Ambient encounter capture in real time. No typing. No dictation. Patient history merged with exam findings, contradictions flagged.
Recovery Agent
Adaptive check-ins on pain, photos, function, medication compliance. Worsening trends escalate automatically. Stable patients handled without staff contact.
Billing Agent
Every clinical interaction documented for care management billing. Time tracked, thresholds flagged, evidence packaged for attestation.
Safety Agent
Continuous emergency detection across every interaction. Hard-coded escalation that cannot be overridden by any configuration.
Two Returns. One Platform.
For a five-physician practice doing $1–2M in annual billable revenue, MednBot returns roughly $100,000 in net-new revenue and ~1,250 provider-hours per year. Per physician: +$20K and ~250 hours back.
| Mechanism | Per MD / Yr |
|---|---|
| Ambient documentation (commercial-payer adjusted) | $5K–$8K |
| E/M level capture from merged pre-visit + exam record | $5K–$10K |
| Care-management billing (CCM, RPM, BHI codes) | $5K–$8K |
| Total per physician | $15K–$25K |
Sources: Holmgren et al., JAMA Network Open, Jan 2026 (DOI 10.1001/jamanetworkopen.2025.53233 — $3,044/MD/yr Medicare floor); Cureus 2022 (PMC 9107352 — ~35% of E/M visits undercoded); 2025 CMS Physician Fee Schedule.
The baseline: for every hour of direct patient face time, physicians spend nearly two additional hours on EHR and desk work — most of it after clinic. Sinsky et al., Annals of Internal Medicine, 2016.
How MednBot collapses the 2:1 ratio:
- ✓Pre-visit intake captured by the AI Practitioner — not paper forms, not front-desk phone calls
- ✓Ambient documentation merges intake + exam in real time — no typing, no end-of-day chart catch-up
- ✓Recovery follow-up handled by the Recovery Agent — recall calls and check-ins off the staff calendar
- ✓Care-management evidence auto-packaged for attestation — billing manager isn't reconstructing time logs by hand
What 250 hours buys you: more patient capacity, fewer pajama-time evenings, on-time clinic days, lower burnout, longer provider tenure.
For a 5-MD practice on $1–2M of billable revenue: ~$100K of net-new annual revenue + 1,250 provider-hours back per year. The platform pays for itself before the first quarterly review — and gives the practice its day back along the way.
Built for the entire operating reality.
Most clinical AI is built for the doctor’s experience. MednBot is built for what the front desk handles, what the billing manager captures, and what the practice administrator measures, on top of what the physician needs.
Your Patients Stay Yours
When patients have a question — 8am or 11pm — they reach your practice, not Google, not ChatGPT, not a competing platform. Your AI Practitioner answers in your voice, calibrated to your protocols. The relationship stays inside your ecosystem.
~5 Hours Per Week Back. Per Provider.
Today, physicians spend ~2 hours on documentation for every 1 hour of patient face time (Sinsky 2016). Intake, scheduling, recall, follow-up, and ambient documentation all run on the platform — collapsing that ratio. Net: ~1 hour per provider per day back. Less pajama time. Fewer dropped balls.
Capture the Revenue You're Missing
Care management documentation packaged for attestation. Billable revenue your practice was already entitled to but wasn't capturing, finally captured.
One System to Run
Front desk, clinical, billing, and follow-up on one continuous record. Fewer handoffs. Fewer dropped balls. One source of truth across every location.
Your Practice in Your Patient’s Pocket.
The on-ramp that turns an exam-room visit into a permanent patient relationship — installed in fifteen seconds, in your branding, on your patients’ phones.
The Doctor on the Home Screen
A practice-branded app, with the doctor’s face as the icon. No app store, no friction. Every glance at the home screen is a brand impression for the practice — and a one-tap path back into conversation with your AI Practitioner.
The Fifteen-Second Install
It happens in the exam room, before the patient leaves. Staff guide the install, the QR code carries them, and the practice lives on their home screen by the time they walk out the door. Patient acquisition that closes itself in the moment that already has the patient’s full attention.
Notifications in Your Voice
Real-time push notifications — personalized to each patient, scheduled by your protocols, triggered by clinical events the practice defines. The opposite of the bulk SMS reminder a robot sends every Wednesday.
Patient engagement + practice systems = the practice operating system.
No one else is building this. Everyone else has pieces of it.
Where the patient meets the practice.
- A bespoke AI Practitioner per physician — calibrated voice, calibrated style
- Six specialized agents (Intake, Scheduling, Documentation, Recovery, Billing, Safety)
- A practice-branded app with the doctor’s face on the patient’s home screen
- Real-time push notifications in the practice’s voice
- 24/7 patient availability across text, voice, and video
Where the practice runs.
- Sits on top of your existing EHR where it has an API
- Replaces what isn’t pulling its weight, where it doesn’t
- One continuous clinical record across the patient arc
- Care management revenue captured automatically
- Multi-location, multi-physician, 32 specialties live in production
Start where it converts the fastest. Expand on your timeline.
Practices begin with the patient-engagement layer — the AI Practitioner, the app, the agents — because that’s where the patient relationship moves first. The practice systems layer rolls out as the practice consolidates onto one platform. The category is the destination. The on-ramp is what gets you there.
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