A 24/7 conversational assistant that books appointments, captures every enquiry the phone misses, and triages urgency, so no new patient slips away because the practice was closed or the line was busy.
Scheduling & New-patient captureThe pain point
If a clinic misses that first call, the patient usually won't leave a voicemail, they move on to the next practice. Enquiries arrive after hours, on weekends, and while reception is already on another call.
Missed call
a lost patient, lost revenue and a disrupted schedule (LocaliQ)
24/7
Patients value booking outside working hours, in control of their own care (EXACT)
How the chatbot solves it
Sits on the website, Google Business profile and SMS. Handles real-time availability, collects name / contact / reason / urgency, and triages emergencies to a call-back queue. New-patient enquiries are captured day or night and pushed into the practice management system.
Offers live slots and confirms into the PMS (e.g. Dental4Web, EXACT, Praktika).
Flags pain / swelling / trauma as urgent and routes to a same-day or emergency path.
Logs every after-hours enquiry with contact details for morning follow-up.
Asks new vs existing, health-fund / HICAPS, preferred practitioner and time.
UX interaction diagram
End-to-end flow from entry point through triage to a confirmed booking or captured lead.
Sample conversation flow
After-hours new-patient enquiry with a soft urgency check.
FriendlyBot
Online now
Tuesday 9:42 pm: reception closed
Lead + booking written to PMS. Reminder sequence enrolled.
Design interactions that ease the pain
Quick-reply chips
Over free text, fewer typos, faster triage, lower drop-off.
Soft urgency screen
Phrased with empathy, never alarmist; emergencies escalate to a human call-back.
Live slot display
Patients self-select, removing phone tag.
Always capture, never lose
If no slot fits, the contact is saved as a lead, not abandoned.
Hand-off rail
"Talk to a person" is one tap away at every step.
Confirmation + reminder enrolment
Happens automatically, closing the loop to use case 2.
Success metrics
After-hours leads captured
New-patient conversion
Call deflection
Time-to-emergency-callback
Sources