Industry solution
24/7 clinic call handling by an AI receptionist
A patient chooses the clinic they could actually reach. In the evening, on a weekend or at a peak hour, when the front-desk line is busy and calls pile up in the queue, a failed call-through isn't just a missed call — it's a patient who immediately dials the medical center next door and books there instead. An AI receptionist handles inbound calls around the clock: it answers common questions about clinic hours, consultation cost, and prep for tests and ultrasounds, captures a booking request into structured fields and keeps the request from getting lost after hours.
Clinic call handling has a fine line: the receptionist doesn't diagnose or give medical advice — it takes on the administrative routine and, by your rules, escalates what a human must handle. An acute complaint about how the patient feels, a question about test results, canceling today's procedure — the agent immediately transfers such calls to the on-duty administrator or raises a notification rather than deferring them until morning. Everything else — booking, rescheduling, reference questions — it closes itself and unloads the front desk at peak, when administrators are torn between the counter and the phone.
Which industry pains this solves
No-shows and empty slots
A patient forgot the appointment or changed their mind — and the doctor sits idle in a paid slot that someone from the waitlist could have taken.
The front desk is overloaded
At peak hours the line is busy, calls pile into a queue and drop. Admins are torn between the counter and the phone.
How it works
A step-by-step scenario — the same steps as in the full use case, applied to your industry.
- 1
Set up the intake scenario
Define the secretary's goal, persona and greeting, plus the request fields — exactly what to collect (name, question, urgency) with required flags and validation.
- 2
The secretary answers around the clock
The agent takes inbound calls at any hour: it runs the dialogue in the customer's language, responds to the scenario and lets itself be interrupted (barge-in) — this is no "button tree."
- 3
The request is collected into fields
Instead of rambling voicemail the agent structures the conversation: it fills the configurable request fields, and the transcript is saved alongside them.
- 4
Urgent — instant escalation
By the scenario and automation rules, urgent requests are escalated immediately: a conditional transfer, plus a notify (email) or a webhook to the on-call person.
- 5
In the morning — a structured list
The team opens a list of requests with fields and topics, not an answering machine: you can see what happened overnight, what's urgent and what can wait its turn.
Industry scenario
An evening call after the front desk has closed
At 9:15 pm, when the front desk is already off, someone calls: they want to book their child with a pediatrician and ask whether they need to bring anything. The AI receptionist answers the reference questions from your script and then captures the request into fields — patient name, desired doctor or service, convenient time, contact. Previously that call would have gone nowhere: the answering machine asks you to call back, and half don't, leaving for the clinic next door.
In the same stream another patient calls — complaining that after today's procedure she suddenly felt much worse. This is outside the administrative script: by the escalation rule the agent immediately sends a notification to the on-duty specialist (a notify action or webhook) rather than leaving the request in the general list until morning. The receptionist separates the routine from what needs a live person right now.
In the morning the front desk opens not voicemail but a structured list of overnight requests with fields and topics: this many booking requests ready to be called back and processed, this many reference questions, the urgent ones already raised overnight. Each such call enters the shared analysis loop, so the manager sees how many patients call after hours and on what topics — and decides whether the front-desk schedule should be extended in exactly those windows.
Key facts
- What it does
- Answers inbound calls 24/7 — at night, at peak and on holidays — runs the dialogue and collects the request into fields.
- Capturing the request
- Configurable fields with required flags and validation; the transcript is saved alongside the fields — instead of rambling voicemail.
- Urgent
- Rule-based escalation: a conditional transfer plus automation actions — a notify (email) or a webhook to the on-call person.
- In the morning
- A structured list of requests with fields and topics, not answering-machine messages.
- Closes the flywheel
- Recordings of night calls flow into the shared analysis loop — metrics and topics improve the intake scenario.
Related scenarios for this industry
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