Multilingual voice support
Serving customers in three to five languages usually means specialised teams per language, or restricting coverage. Both approaches cap service quality at the wrong place.
An AI voice agent handles Tier-0 and Tier-1 queries in multiple languages, with warm handover to a human when the conversation warrants it.
- 01
The agent detects the caller's language and responds natively in Hindi, Tamil, Bengali, Arabic, English and more.
- 02
A shared intent catalogue works across languages so you build the capability once, not per language.
- 03
Pronunciation dictionaries ensure product, brand and place names are handled correctly in every language.
- 04
If the caller wants a human, the handover includes a written transcript and summary in the agent's working language.
- 05
Call-quality scoring runs continuously so drift in any one language is caught early.
with 3x to 5x language coverage vs a human-only team.
Ranges drawn from production deployments and public enterprise benchmarks. For a specific rupee or dollar figure tailored to your volume, use the calculator below.
Prerequisites for a clean deployment.
- Telephony integration (SIP, Twilio, or similar)
- A multilingual intent catalogue
- A pronunciation dictionary for product and brand names
- Agreed handover criteria per language
Put your own numbers on it.
“At 5,000 tickets a month and a loaded monthly cost of ₹1,50,000 per person, multilingual voice support would typically save ₹17 L to ₹28 L a year.”
Range uses this use case’s typical automation rate (30 to 50 percent) against the baseline time per task for support work, with your cost per person converted at 160 working hours a month.
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