Systems involved
Telephony or SIP trunkNIM voice modelsScheduling systemSMS or WhatsApp confirmation
Appointments, handled in the caller’s language.
An example of how voice ai could turn a business challenge into a working process. This is a proposed scenario, not a published client engagement.
The scenario
The challenge
A clinic’s front desk handles a high volume of booking and reschedule calls in Tamil, Malayalam, and English. At peak hours calls go unanswered, and details are entered by hand.
The approach
A voice assistant answers in the caller’s language, captures the appointment request, checks availability through a scheduling integration, and confirms. Clinical questions and unusual requests go straight to staff.
What we would measure
- Language and intent understanding on representative calls
- Booking completion and successful handovers
- Staff time spent on routine calls
The proposed workflow
- 01Caller speaks in their preferred language
- 02Intent and details captured
- 03Schedule checked through integration
- 04Booking confirmed or handed to staff
How people stay in charge
- AI disclosure at the start of each call
- No clinical advice: clinical questions go to staff
- Consent and retention agreed up front
