Conversational AI for Indian Languages: How to Test One Before You Buy
TL;DR: Good conversational AI for Indian languages does more than “support Hindi”. It follows Hinglish and other code-mixed speech, reads back numbers, amounts and pincodes correctly, switches language mid-call when the customer does, and logs answers cleanly into your CRM. Test these with your own scripts in a free trial before signing anything, and check the ₹ per-minute cost and TRAI calling rules alongside.
Almost every voice AI vendor in India now claims to support “10+ Indian languages”. That line tells you very little. The hard part isn’t producing Tamil or Bengali audio; it’s handling how people in India speak on a real phone call: switching between languages mid-sentence, saying numbers in English, giving addresses with landmarks, and cutting in before the bot finishes.
This guide gives you a practical way to judge any conversational AI for Indian languages, including Twenty2, Shiprocket’s AI calling platform. You’ll get eight call tests you can run in a day, sample scripts in native script, what it should cost in ₹, and the compliance points to check.
What does “handling multiple Indian languages effectively” mean?
It means the agent understands and responds naturally to the way your customers speak, not just to textbook versions of their languages. For a voice agent, that breaks into four abilities:
- Understanding (speech recognition): transcribing Indian accents, background noise and code-mixed speech like “कल evening में deliver कर दो”.
- Reasoning: grasping intent across languages, so “haan, le lunga” and “yes, I’ll take it” both register as confirmation.
- Speaking (text-to-speech): a voice that sounds local, pronounces names and places correctly and reads ₹1,49,999 the way an Indian would say it.
- Recording: saving the outcome in a usable form, e.g. a structured “confirmed / cancelled / reschedule” field in your CRM, not only a raw transcript.
India has 22 languages in the Eighth Schedule of the Constitution. Twenty2 takes its name from those 22 languages, and our mission is to cover all of them. In practice, most businesses need 3–5 languages done well rather than 22 done badly. Start from where your orders, leads or borrowers actually are.
Why “we support multiple languages” isn’t enough: code-mixing is the norm
Most urban and many semi-urban Indians mix English into their mother tongue on everyday calls, especially for numbers, dates, brand names and anything related to orders or money. A customer in Pune might answer a Marathi question in Hinglish. A caller in Chennai might say the entire pincode in English.
An agent trained only on “pure” Hindi or “pure” Tamil will stumble on exactly these moments, and they are the moments that decide whether an order gets confirmed or a lead gets qualified. So when you evaluate multilingual conversational AI, treat code-mixing as the default case, not an edge case.
8 tests to run before you choose a multilingual voice AI
Run each test with your own script, on a real phone (not a browser demo), from a noisy room at least once. Ask two or three colleagues who speak each target language natively to play the customer.
| # | Test | What to try | Pass looks like |
|---|---|---|---|
| 1 | Code-mixing | Answer in Hinglish, Tanglish or Benglish | Correct intent, no “sorry, I didn’t understand” loops |
| 2 | Numbers and ₹ amounts | Say “ek hazaar char sau ninety-nine” or “fourteen ninety-nine” | Reads back ₹1,499 correctly, in the customer’s style |
| 3 | Addresses and pincodes | Change a flat number; give a landmark; say the pincode digit by digit | Captures the change and confirms it back |
| 4 | Mid-call language switch | Start in English, then say “Marathi mein bolo” | Switches without restarting the call or losing context |
| 5 | Interruptions | Cut in halfway through the agent’s sentence | Stops, listens and responds to what you said |
| 6 | Dialect and accent | Use a Bhojpuri-inflected Hindi or Kongu Tamil speaker | Understands, even if it replies in the standard form |
| 7 | Silence and noise | Stay silent 5 seconds; call from a street or shop floor | Prompts politely; doesn’t hang up or hallucinate an answer |
| 8 | Data quality | Check the CRM/log after each call | Clean outcome field, native script names spelt consistently |
Score each test pass / partial / fail per language. A vendor that passes tests 1–4 in your top two languages is usually worth a pilot. One that fails test 2 or 3 will cost you money on every call, because wrong amounts and wrong addresses become failed deliveries and angry customers.
What do multilingual calls actually sound like? Sample scripts
Below are three short scripts you can reuse as test cases. They use synthetic data (Merchant A, sample pincodes) so you can share them freely inside your team.
Hinglish: COD order confirmation with an address change
Agent: नमस्ते! मैं Merchant A की तरफ़ से बोल रही हूँ। आपका ₹1,499 का COD order कल dispatch होगा। क्या मैं इसे confirm कर दूँ?
Customer: हाँ, but address में थोड़ा change है। Flat 302 नहीं, 203 है।
Agent: ठीक है, flat number दो-सौ-तीन। Pincode 411014 ही रहेगा?
Customer: हाँ, वही।
Agent: Perfect, order confirm हो गया है। Delivery के समय ₹1,499 cash या UPI से pay कर सकते हैं।
Transliteration (first line): Namaste! Main Merchant A ki taraf se bol rahi hoon. Aapka ₹1,499 ka COD order kal dispatch hoga. Kya main ise confirm kar doon?
English gloss: Hello! I’m calling from Merchant A. Your ₹1,499 COD order ships tomorrow. Shall I confirm it? → Yes, but the flat is 203, not 302. → Noted, 203. Is the pincode still 411014? → Yes. → Confirmed; you can pay by cash or UPI on delivery.
This one script covers tests 1, 2 and 3. Watch for whether the agent reads the amount back as “ek hazaar chaar sau ninyaanve” or “fourteen ninety-nine”. Either is fine, but it should match how the customer spoke.
Tamil (Tanglish): failed delivery (NDR) and reattempt slot
Agent: வணக்கம்! உங்க parcel இன்னைக்கு deliver பண்ண முடியல. நாளைக்கு எந்த நேரம் வசதியா இருக்கும்?
Customer: சாயங்காலம் ஆறு மணிக்கு மேல, office-ல இருந்து வந்த அப்புறம்.
Agent: சரி, நாளைக்கு மாலை ஆறு மணிக்கு மேல reattempt பண்றோம்.
Transliteration: Vaṇakkam! Unga parcel innaikku deliver paṇṇa mudiyala. Naalaikku endha neram vasathiyaa irukkum? / Saayangaalam aaru maṇikku mela, office-la irundhu vandha appuram. / Sari, naalaikku maalai aaru maṇikku mela reattempt paṇrom.
English gloss: Hello! We couldn’t deliver your parcel today. What time tomorrow suits you? → After 6 in the evening, once I’m back from office. → Okay, we’ll reattempt tomorrow after 6 pm.
The test here is whether “after 6, once I’m back” becomes a structured reattempt window your logistics team can act on. In e-commerce, a failed delivery that isn’t reattempted quickly often turns into a return to origin (RTO), so this is where language handling turns directly into ₹ saved.
English → Marathi: mid-call language switch
Agent: Hi, this is a call from Merchant A about your cash-on-delivery order.
Customer: माफ करा, मला मराठीत बोला ना.
Agent: हो, नक्की. तुमची order ₹899 ची आहे, cash on delivery. तुम्ही ती घ्याल का?
Customer: हो, घेईन.
Transliteration: Maaf kara, mala Marathit bola na. / Ho, nakki. Tumchi order ₹899 chi aahe, cash on delivery. Tumhi ti ghyaal ka? / Ho, gheen.
English gloss: Sorry, please speak to me in Marathi. → Yes, of course. Your order is ₹899, cash on delivery. Will you accept it? → Yes, I’ll take it.
If the agent carries on in English, or restarts from “Hi, this is a call…”, it fails test 4. Customers rarely ask twice; they hang up.
How to roll out a multilingual voice agent in 5 minutes
With the right platform, a pilot can be live the same day. The first call goes out within minutes. Tuning the script from real transcripts takes a week or two.
You can start within 5 minutes: simply pick a template such as COD confirmation, edit the script, choose the language, buy or connect the number and run test calls. Read 25–30 transcripts, fix and rework the script, and you are ready to connect outcomes to your CRM or order management system through webhook integrations.
Twenty2 is built to go live in 5 minutes without engineers. The platform includes ready-to-use templates, campaign scheduling with auto-retries, and transcripts plus AI summaries for every call. The getting-started guide walks you through the first campaign.