Multilingual customer support on autopilot

The internet is global. Your customers are not all writing in English. And yet most chatbot setups — and most support operations generally — are built around an English-first assumption that falls apart the moment a customer types "¿Cuánto cuesta el envío a España?" or "Ich habe eine Frage zu meiner Bestellung."

The traditional workaround is either to run separate bots for each language (expensive, high maintenance, never quite in sync with each other) or to translate your entire knowledge base manually (extremely expensive, always out of date). There is now a better option.

Automatic language detection

When a customer sends their first message, Promptly detects the language it was written in. This detection happens in real time and does not require any configuration — it works for over 100 languages out of the box. The bot then responds in the same language the customer used.

Your knowledge base does not need to be translated. Promptly's underlying AI models understand the semantic meaning of your English (or French, or Spanish, or German) content and can answer questions about it in whatever language the customer prefers. A customer asking in Italian about your return policy gets a fluent Italian answer drawn from your English help center — correctly, without you doing anything special.

What this means in practice

For a small team, this is transformative. You do not need to hire native-language support agents for every market you sell into. You do not need to maintain separate knowledge bases for each region. You publish content once, in whatever language you work in, and the bot handles the translation layer dynamically.

• A French customer asking about your subscription options gets a French-language answer.
• A Brazilian customer asking about shipping to São Paulo gets a Portuguese response with your actual shipping rules applied.
• A Japanese customer asking a technical question about your product gets the answer from your English documentation, translated fluidly.

The quality of the translation is good enough that customers rarely notice it is happening. The response reads naturally in their language — not like a machine-translated corporate document.

The agent dashboard — one view, every language

When a multilingual conversation escalates to a human agent, the agent dashboard shows the conversation in its original language alongside an automatic translation into your team's working language. An English-speaking support agent can read and respond to a German conversation — the customer sees their response in German, the agent reads and writes in English.

The Promptly dashboard itself is available in ten languages: English, Spanish, French, German, Italian, Russian, Turkish, Chinese, Arabic, and Serbian. For international teams where the people managing the chatbot are not all English speakers, this matters — configuration and analytics should be readable in the language you work in.

Localization vs. translation: knowing the difference

Auto-language detection handles translation. It does not handle localization — the deeper adaptation of content to a regional market. If your return policy differs between the EU and the US, or if your product catalog has region-specific items, you will want to configure that explicitly rather than relying on translation alone.

The practical way to handle this is with separate knowledge entries for region-specific policies, tagged so the bot applies them when it detects a customer in that region. For most small and mid-sized teams, the auto-translation layer alone is enough to dramatically improve non-English support quality without any incremental work.

The global-first mindset for support

The businesses that win globally are the ones that make every customer feel like they are the intended audience, not a translated afterthought. A chatbot that responds to a Spanish speaker in Spanish — instantly, accurately, at 2am — communicates something that transcends whatever it actually says: we built this for you.

You do not need a team in every timezone or a budget for professional translation services to deliver that experience. You need a chatbot that speaks every language your customers do, connected to the knowledge you already have.