Sendbird localized AI agent built for real-world scale
More AI agents treat localization as a translation layer only, as if changing the language is enough.
But global companies know the truth: operating across countries means navigating different regulations, support policies, workflows, and expectations. These differences don’t just affect users — they shape how your teams create, manage, and scale content across regions.
At Sendbird, we build for the complex reality of how global businesses actually operate – across countries, languages, and locations, with tens of thousands of knowledge articles, country-specific policies, and real differences across regions.
That’s why we built the Sendbird localized AI agent — not just to translate, but to retrieve and act on the right knowledge for every country, language, and user context.
What’s new
Now, a single Sendbird AI agent can dynamically adapt to each user’s country, language, and operational context – delivering the right knowledge, the right workflows, and the right experience, every time.
Geo-tagged & context-aware knowledge & actionbooks: Knowledge sources and actionbooks can be tagged global or country-specific. The AI dynamically selects the right set of actions based on the user’s country and region.
Country & language-aware retrieval (RAG): We filter and rank knowledge based on country, language, and fallback logic — ensuring the AI only sees what’s relevant to each user’s locale.
First-class language configs with precision fallback logic: You define which languages are fully supported in each country — and in what order of preference. The AI uses this config to make smart decisions: when to translate a user’s query, when to run dual-language retrieval, and when to avoid showing content from irrelevant markets.
Built for real global operations
Global enterprises don’t just need translation. Whether you’re managing 10 markets or 50, the challenge is scaling answers that stay precise across languages, regulations, and teams.
Here’s how it works in practice:
🇯🇵 User in Japan, speaks English: A user asks in English. Instead of defaulting to global answers, the AI retrieves Japan-specific policies written in Japanese, translates them back to English, and responds. The result? A fully localized answer — in the user’s language — that reflects Japan’s rules, not just global defaults.
🇩🇪 User in Germany, speaks Turkish: Turkish isn’t a supported language in Germany’s knowledge base. The AI translates the query into German, retrieves only German and global content, and replies in Turkish. The user gets local German policies in their language — not mismatched content from Turkey.
Localization isn’t just a language problem, it’s a retrieval problem
Your business doesn't operate in one language, one policy, or one workflow. Your AI shouldn’t either.
Sendbird’s localized AI Agent brings structure to that complexity. It dynamically adapts to user location, language, and your content coverage — ensuring each response is both locally accurate and globally consistent.
The result? One AI agent that scales across markets without sacrificing operational relevance. Contact us to learn more.