Voice AI in Hindi, Punjabi and mixed-language calls
Real calls here are not in one language. A system that handles each language separately can still fail on the switching.
Callers open in English, explain the problem in Hindi or Punjabi, and give the order number back in English. That is the normal case, not the edge case.
Typical timeline: Language assessment 2 weeks, pilot 6–8 weeks
Confidence, not language, decides the handover
These are the signs this is worth doing
If several of these are true, this is usually where the fastest return sits.
Almost every voice product demonstrates in one language, cleanly recorded. That is not what arrives on your line. A caller opens in English out of politeness, switches to Hindi or Punjabi when describing what actually went wrong, and reads the order number back in English digits. Within one sentence.
A system that scores well on each language in isolation can handle that badly, because the hard part is not recognising Hindi — it is noticing the switch mid-utterance and not losing the sentence.
What we test before recommending anything
Fifty real recordings from your own queue. This is the whole decision, and it costs a fortnight.
- Mixed-language utterances, not one language per call.
- Your product names, place names, and industry vocabulary.
- Background noise typical of where your callers actually are.
- The lines they actually call on — mobile and PRI, not lab VoIP.
- Digit recognition under noise, which fails more often than words do.
- Accents across the regions you actually serve.
Designing for imperfect recognition
Recognition will not be perfect, so the design has to assume that rather than hope otherwise. Anything consequential is confirmed back to the caller — order numbers, amounts, dates — in a way that invites correction rather than a yes.
Confidence drives behaviour. Repeated low-confidence turns escalate to a person rather than triggering another attempt at understanding, because a caller repeating themselves for a third time has already formed a view about your business. The escape hatch is explicit and stated early: say agent at any point.
Take fifty recordings from your own queue and run them through whatever you are considering. The gap between the demo and your calls is the decision.
We would rather tell you now than three weeks into a project. This work is usually the wrong call if any of the following describes you.
- Single-language operations on clean lines — you do not need this page, just a standard deployment.
- Languages with genuinely thin model support, where accuracy will not reach a usable level. We will tell you after testing rather than build something disappointing.
- Calls that are mostly emotional or complex regardless of language.
The systems involved
We integrate rather than replace wherever it makes sense. These are the systems this work most commonly touches.
Multilingual voice — questions we get asked
Which Indian languages work well?
Hindi and English are strong. Punjabi, Marathi, Gujarati, Tamil, Telugu, Bengali and Kannada are usable and vary by accent, domain vocabulary, and line quality. We test on your recordings rather than quote a league table.
Does the caller pick a language?
They should not have to. The agent detects and follows, including mid-call. Forcing a choice at the start is where most multilingual IVRs already lose people.
What about poor phone lines?
It is a real constraint and we test on your actual lines. Performance on a compressed mobile call is meaningfully worse than on clean VoIP, and that belongs in the expectation before you buy.
The services this work sits inside
Where this comes up most
The sectors where we most often do this work, and where the payback is usually clearest.
Others worth reading
Voice AI for order and delivery status calls
Where is my order is a question with a verifiable answer already sitting in a system. That is exactly the shape of call worth automating first.
Read itVoice AIVoice AI for first-round candidate screening
First-round screening is structured, repetitive, and time-critical. Automating it means calling every applicant within the hour instead of the best ones next week.
Read itThinking about multilingual voice?
Start with a short conversation. We will tell you honestly whether this is the right place to begin, or whether something else pays back faster.