Multi-language voice
Multi-language voice is the ability of an AI receptionist to detect a caller's language and respond in that same language, in the owner's cloned voice with native cadence. It closes the booking gap on non-English callers in mixed-language US metros.
Why it matters
A meaningful fraction of inbound calls in major US metros are not in English. Atlanta has Spanish, Vietnamese, Korean, Mandarin, French. Houston adds Punjabi, Arabic, Tagalog. New York adds everything. Service businesses without multilingual receptionists routinely lose those calls; the customer hears voicemail in English, hangs up, and books with a competitor.
Multi-language voice solves this with three layers:
- Language detection on the first sentence. The agent identifies the caller's language with high accuracy.
- Cloned-voice synthesis in the detected language. The owner's voice, in Spanish, with Spanish cadence.
- Memory persistence of the customer's preferred language. Future calls open in that language automatically.
The result: a Spanish-speaking caller hears the owner's voice, in Spanish, with native prosody. They do not realize they are talking to AI; they are not even sure if it is the actual owner (until they realize the owner does not actually speak Spanish that fluently).
The booking-rate impact is real and consistent across industries. Service businesses in mixed-language metros typically see ~30% lower booking rates on non-English calls before multi-language voice; with it, the gap closes to near-parity with English calls.
How Ajeris handles this
Ajeris's business agent supports multi-language voice covering the languages most common in US metros (English, Spanish, Mandarin, Cantonese, Vietnamese, Korean, Tagalog, French, Portuguese, Hindi, Punjabi, Arabic, and others). The owner enables the languages relevant to their area in the setup wizard.
The detection happens on the first sentence; the response uses the owner's cloned voice in the detected language. Customer language preference saves to memory so future calls open in their preferred language by default.