FAQs
What happens if no human agent speaks the customer's language?
Be honest in the handoff message. Tell the customer which hours that language is covered and give a specific callback window rather than dropping them into a queue that will answer in English. A second option is a human-in-the-loop setup where an agent who doesn't speak the language reviews and approves AI-drafted replies, which keeps quality control in place without requiring a native speaker on every shift.
How does an AI agent detect Hinglish or other mixed languages?
Character-set detection fails on code-mixed text because Hinglish, Spanglish and Arabizi all use Latin characters. Reliable detection works at the conversation level instead: the agent reads several messages together, weighs grammar and vocabulary rather than script alone, then holds that language for the rest of the thread. Re-detection runs only when there's a clear switch, which avoids a bot flip-flopping between languages mid-conversation.
Do WhatsApp message templates need separate approval for each language?
Yes. Meta reviews each language variant of a template independently, so a library of twelve templates across six languages means seventy-two approvals to manage. Rejections affect your account quality rating, which throttles messaging limits across every language, so avoid submitting machine-translated variants without review. Also check variable placeholder order, since word order changes between languages and Meta reviews the rendered output.
Should I translate my knowledge base into every language I support?
Usually no. Maintaining parallel copies of your policies means every future edit has to be repeated across all of them, and in practice most of the copies go stale within a couple of quarters. Keep one source of truth in your team's working language and let the agent generate answers in the others. The exception is regulatory and legal wording, which should be human-translated once and stored as fixed strings.
How many languages can a WhatsApp AI agent handle?
Most current AI agents support somewhere between 30 and 100 languages, though the number matters less than the quality distribution behind it. Robylon supports 40+ languages, with the practical caveat that high-resource languages like Spanish, Hindi and Arabic perform noticeably better than low-resource ones. Ask any vendor for resolution rate and CSAT broken out by language rather than a headline count, since a supported language with a 55% CSAT isn't really supported.

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