Stop losing patients to your phone line
AI agents that book appointments on WhatsApp and SMS, send smart reminders, handle reschedules, and answer the routine questions. Your receptionists handle exceptions, not the queue.
The phone-only model breaks at scale
Your front desk picks up, takes a booking, hangs up. Picks up again, takes the next. Repeat 80 times a day. Lines back up at 9am and 5pm. Patients on hold give up and call the clinic across the road. Receptionists burn out.
And the no-show rate sits at 15 to 20% because the reminder system is whatever email goes out from your practice management system. The patient meant to come. They just forgot. Nobody followed up.
You do not need more receptionists. You need a smarter front door.
Conversational AI that owns the front-door interaction
We build agents that take new bookings, handle reschedules, send smart reminders, answer the routine questions ("what is your address?", "do you take my insurance?", "do I need to fast?"), and route the edge cases to a human. By the end of month two, your team is answering 30 calls a day, not 80.
Native to your practice management system
Cliniko, SimplePractice, Athena, eClinicalWorks, Practo, Lybrate, Halaxy, Jane App, NextGen, plus most modern systems via FHIR or REST API. The agent reads your live schedule, not a copy of it.
Booking that respects clinical reality
Knows the difference between a 15-minute follow-up and a 45-minute new patient visit. Respects buffer time, specialist availability, pre-booking windows, and the constraints your team actually cares about.
Smart reminders that cut no-shows
Sends reminders 24 hours and 1 hour before the appointment. Offers easy rescheduling instead of just "see you tomorrow". Clinics typically see no-show rates drop 30 to 50% in the first 90 days.
Multi-language by default
Hindi, Tamil, Marathi, Bengali for Indian clinics. Spanish, French, Arabic for UK, EU, and US practices. Patients book in their preferred language. Your team reads everything in English. No bilingual receptionist needed.
Compliance-aware infrastructure
HIPAA-compliant AWS setup with a signed BAA for US clinics. GDPR for UK and EU. DPDP for India. End-to-end encryption, audit logging, and data retention configured per regulation, not as an afterthought.
Patient context preserved at handoff
When the agent passes a conversation to a human, the receptionist sees the full transcript, what was asked, and what was confirmed. No "let me check the system" pause that frustrates patients.
Safe defaults for clinical questions
The agent does not give medical advice. If a patient describes symptoms, the default is to book the soonest appropriate slot and flag urgency to your team. Health-advice queries always escalate to a clinician.
Built for clinical environments
Four steps. Built to move fast.
Scope
30-min intro, then a written 1-page scope you can say yes/no to.
Design
Lo-fi to hi-fi design in days, not weeks. You see real screens fast.
Build
Hand-picked team builds in tight loops with daily updates.
Ship
Production deployment + handoff doc + 2-week support window.
Things you are probably wondering
Is this HIPAA-compliant?
Yes. We build on HIPAA-eligible AWS services with a Business Associate Agreement in place, encrypt protected health information at rest and in transit, and retain data only as long as your clinical workflow requires. We sign a BAA with your clinic before any patient data flows.
What practice management systems do you integrate with?
Cliniko, SimplePractice, Athena, eClinicalWorks, Jane App, NextGen, Practo, Lybrate, Halaxy, and most modern systems via FHIR or REST API. If yours is not on this list, we can usually integrate via your existing webhooks. Older Windows-based PMS systems sometimes need a custom adapter, which we can build.
Can patients still call my clinic instead of using the AI?
Of course. We route the patients who prefer to chat or text to the AI, and the ones who prefer to call get the phone. Most clinics see 60 to 70% of bookings shift to chat within two months because it is faster for the patient too.
What about complicated bookings, like first-time patients with insurance verification?
The agent collects the patient's information and identifies the booking type. For new patients needing insurance verification, it books a tentative slot and flags the front desk to confirm during business hours. The patient is not left on hold while a receptionist checks coverage.
How does it handle medical questions or symptom descriptions?
It does not give medical advice. If a patient describes symptoms, the agent's default is to book them for the soonest appropriate slot and flag urgency to your team. Anything that looks emergent is escalated immediately. The behavior here is configurable to your clinic's policy.
How quickly can we go live?
3 to 5 weeks for a first version connected to your scheduling system and handling new bookings and reschedules. Multi-language support, custom reminder cadences, and insurance pre-checks usually add another 2 to 3 weeks.
Will it work for a single-clinic practice, or only large groups?
Both. For a single clinic, we scale the deployment down so you are not paying for enterprise infrastructure. For multi-site groups, we configure routing by location, specialty, and clinician. The per-clinic cost actually drops as you scale.
Want to see what your clinic's AI agent could do?
A 30-minute call. Tell us your booking volume, your no-show rate, and your PMS. We will tell you exactly what we would build and how long it would take.