The voice assistant that reschedules check-ups, gives your address and hours, and hands off to the doctor when needed
For clinic, dental and practice teams: the assistant takes repetitive appointment calls while reception keeps looking after patients.
Common problems on the phone line
Phone and patient at the same time
While reception looks after the patient at the desk, the phone keeps ringing.
Changes arrive too late
When a patient who wants to reschedule cannot get through, the slot stays empty and another waiting patient cannot take it.
The same information on every call
Address, parking, opening hours and preparation instructions are repeated many times a day.
How it works in this sector
Every call follows the same four steps; the assistant acts only with defined permissions.
- 01 / 04
Greets
Greets the patient and listens to the appointment or information request.
- 02 / 04
Understands and verifies
Verifies identity with the details your clinic defines.
- 03 / 04
Takes action
Checks available slots and passes on the change with the patient's approval.
- 04 / 04
Confirms or hands off
Hands the call to the doctor or the team when it hears about pain or a medical question.
What the assistant takes on
Supports repetitive appointment and information calls for clinics and dental practices.
- Check-up appointment requests
- Address, hours and preparation information
- Rescheduling requests
- Address and opening hours given by voice
- Handoff to the doctor for medical questions
Example call
A fictional scenario: what the caller says, what the assistant understands and how it replies.
- Caller
- “I would like to move my dental check-up to Thursday.”
- Detected request
- Rescheduling · Dental check-up · Thursday
- Assistant response
- After verifying your identity, I can check slots and submit the change with your approval.
No medical assessment is provided; clinical decisions remain with healthcare professionals.
Illustrative example · Not live system data
Related integrations
The assistant connects to your systems only with defined permissions; your PBX setup is reviewed during discovery.
HIS · CRM
API access only with defined permissions
Inbound and outbound calls
Answering, information and confirmation calls
Operator handoff
Calls that need a person, plus fallback routing
Call summary to the CRM
The call summary is written to the relevant record
Runs on your own server
- Your data stays in-house.
- A single GPU server is enough.
- Several calls at the same time, on the same system.
The architecture supports your compliance processes with restricted API access, configurable retention and operator fallback. Compliance depends on the deployment configuration, data processing practices and your organizational procedures.
The path of a call
- 01Phone lineNetgsm 0850 · SIP Trunk
- 02PBXAsterisk
- 03Your serverSTT → LLM → TTS
- 04Your systemsHIS · CRM
Frequently asked questions
- What happens if a patient mentions pain?
- The assistant does not give medical assessments. When it hears about pain or a medical question, it hands the call to the doctor or the clinic team.
- Does it change the appointment itself?
- After identity verification it checks available slots; the change is passed on with the patient's approval and the permissions your clinic defines.
- Does voice data leave the organization?
- No. Speech-to-text, response generation and speech synthesis run on your own server; your data stays in-house. Calls arrive through your telephone carrier and PBX.
- What if the agent can't resolve a request?
- Calls that need a person are transferred to an operator, with fallback routing in place.
Request a demo
Your sector is preselected in the form. Briefly describe your call scenario, and we will schedule an online meeting at a time that suits you.
Let's plan your phone line together
In a discovery call we go through your call flows and the systems to connect.
* Footnote: Latency values were measured on real call recordings (from the moment the caller stops speaking until the first sound arrives, server side). Internet latency adds 0.05–0.3 s. Word error rate was measured on the public FLEURS-tr dataset (200 sentences, 8 kHz telephone audio). Language support is at model level. Live validation was done in Turkish; in other languages, voice and recognition quality may vary by language.