AI calling for loan recovery
Automate EMI reminders and soft-collection calls that capture a promise-to-pay date on every connected call.
Learn moreAI calling for clinic appointment reminders
Send automated confirmation and reminder calls for every booked appointment — capturing reschedules before the slot is lost.
The problem
Front desks miss callback calls during busy hours and no-shows cost booked slots that could have been reallocated. Manual reminder calls are inconsistent: some patients get called twice, others not at all, and reschedule requests get lost in the handover.
How Vaanicall runs it
Day-before confirmation call
The system places a call to the patient the day before their appointment, confirming the date, time, and location. The patient can confirm or request a reschedule in the same call.
Reschedule captured as callback
If the patient needs a different slot, the preferred day and time are extracted as structured fields and a callback task is raised for the front desk — so no reschedule request is dropped.
Results-ready notification
When a diagnostic result is ready, an outbound call notifies the patient and either confirms a collection visit or directs them to contact the clinic — reducing inbound call load on the front desk.
Post-visit feedback call
After the appointment, a short feedback call captures the patient's experience as structured ratings and an open verbatim — giving the clinic actionable satisfaction data without a manual survey.
Hear it
Sample call — the agent opens with your brand and script
AI Agent: Hello, this is Pooja calling from Arogya Diagnostics. May I speak with Sunita Agarwal?
Customer: Haan, main hoon. Kya baat hai?
AI Agent: Sunita ji, aapka blood test appointment kal — 7 June — suba 8 baje ke liye hai. Kya yeh time aapke liye theek hai?
Customer: Kal thodi problem hai. Kya 9 June ko ho sakta hai, same time?
AI Agent: Zaroor. Maine 9 June, suba 8 baje ka reschedule request note kar liya hai. Hamare receptionist aapko confirm karenge. Kya koi aur help chahiye?
Customer: Nahi, shukriya.
Sample transcript for illustration. Actual call content varies by contact data and agent configuration.
What you get
- Sends a confirmation call to every booked patient before their appointment — reducing no-shows with advance notice.
- Captures reschedule requests as structured callback tasks so front-desk staff have full context when they call back.
- Notifies patients when diagnostic results are ready, reducing inbound "is my report done?" calls.
- Collects post-visit feedback as structured ratings and verbatims for clinic quality monitoring.
Compliance
Compliance
- DPDP consent: patient contact data is held under a recorded consent action with timestamp, and erasure requests are honoured on request.
- TRAI calling window: all outbound calls dial only within 09:00–21:00 IST.
- Audit log: every call action, extraction outcome, and consent event is written to the immutable audit log.
Questions, answered
Yes — Indian customer data is stored in an India region as a platform baseline, in line with DPDP requirements. This is not a configurable option; it is the default and only deployment for Indian data. A self-hosted deployment path is under evaluation for future releases (roadmap).
Related use cases
Lending & Fintech Real Estate AI calling for real-estate lead follow-up
Call every portal lead within minutes, qualify budget and locality, and book a site visit — before the lead picks up a rival broker.
Learn moreB2C Sales AI calling for speed-to-lead qualification
Call every web lead the moment it lands, run your qualification questions, and capture a structured hot-cold-dead verdict, ready for your CRM, before the lead moves on.
Learn more
Make your first AI call today
Spin up an agent, import a list, and watch outcomes reconcile in real time. Free to start — pay only for talk-minutes.