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Conversation design 7 min read

Designing multilingual AI calls for the way India actually speaks

A practical framework for code-switching, confirmation, pacing and respectful fallback in customer calls.

Illustration for "Designing multilingual AI calls for the way India actually speaks"
Key takeaways
  • Real conversations do not stay inside neat language boxes.
  • Names, dates, amounts, phone numbers and appointment times deserve explicit confirmation.
  • When the employee does not understand, it needs a specific recovery path: ask for a slower repeat, offer another language, or route to a person with the captured context.
  • Rehearsals should include overlapping speech, silence, background noise, corrections and unexpected questions.
01

Start with the caller, not the language selector

Real conversations do not stay inside neat language boxes. A caller may begin in English, explain the important detail in Hindi, and use a regional phrase for a location or service. Good conversation design notices the change without making the caller restart.

02

Confirm the details that carry risk

Names, dates, amounts, phone numbers and appointment times deserve explicit confirmation. The voice employee should repeat only the critical detail, not the whole conversation.

English

Hi, I wanted to ask about the 3 BHK flats.

Hindi

Budget thoda kam hai, 1.2 crore tak.

Hinglish

Koi baat nahi. 1.2 crore mein Tower A ke options hain.

Telugu

Gachibowli daggara unte baguntundi.

Telugu + English

Sare, Gachibowli lo 2 options unnayi. Saturday visit book cheyana?

One caller, several languages, one conversation. The AI follows the switch instead of asking them to start again.
03

Give every fallback a graceful sentence

When the employee does not understand, it needs a specific recovery path: ask for a slower repeat, offer another language, or route to a person with the captured context.

04

Test interruptions, not just ideal scripts

Rehearsals should include overlapping speech, silence, background noise, corrections and unexpected questions. These moments reveal whether the design feels conversational or merely scripted.

Written by the EnableCalls team

We build AI calling employees that answer, call and follow up in Hindi, Telugu and English. These notes come from designing and testing real call flows.

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