A support organization training reps in Mexico City, Manila, and Warsaw used to mean three separate programs and no easy way to compare how any of them were actually performing. Now those reps train, get coached, and get scored inside the same platform, in their own language.
Why this matters
Global organizations face a real tension in training: standardize the program and lose regional relevance, or let every region build its own and lose any ability to compare performance across markets. Language is usually the reason. A scorecard written in English doesn't help a manager evaluate a call conducted in Polish, and a roleplay bot that only speaks English doesn't help a rep in Manila rehearse the actual conversation they'll have on the job.
How it works
Outdoo supports roleplay practice, coaching, and scoring in more than 120 languages. Inside AI Roleplay's voice mode specifically, where reps have spoken conversations with an AI persona rather than typing responses, 74+ languages are supported, covering everything from Mandarin Chinese and Arabic to Swahili and Vietnamese. The language for a bot is set from Bot Persona > Language when creating the agent, and the same scorecard criteria apply no matter which language a session runs in, so scores stay comparable across regions and teams.
Quality varies by language depending on training data and linguistic complexity. Major languages such as English and Spanish generally deliver the strongest results, and for less common languages, shorter and more direct prompts tend to perform better. Testing a bot with a real conversation before rolling it out to a region is worth doing regardless of which language it runs in. For teams building bots for an audience that speaks several languages, the guidance is to create a separate bot per language rather than mixing languages inside one bot, since that keeps each persona's responses consistent rather than switching languages mid-conversation.
More detail on supported languages is in 74+ languages supported in AI Roleplay.
What this unlocks
A distributed support organization running phone-based service across Latin America, Southeast Asia, and Eastern Europe can run the same objection-handling or de-escalation scorecard everywhere, in Spanish, Tagalog, and Polish, and compare pass rates across regions instead of running disconnected programs per market.
Insurance and financial services firms operating across multiple regulatory jurisdictions can train and score reps on the same disclosure and compliance language in each local language, rather than maintaining an entirely separate training system per market.
Healthcare organizations with multilingual patient populations can practice intake and consent conversations in the language a patient actually speaks, scored against the same rubric used everywhere else.
An enterprise software company with account executives based in Tokyo, Sao Paulo, and Berlin can run the same discovery-call scorecard on all three, coached in Japanese, Portuguese, and German, so a global sales leader can rank pipeline health rep by rep instead of guessing how much of a gap is skill and how much is just the language a market runs in.
A global team's biggest training risk usually isn't a skill gap. It's a program that only works in one language.
See it in Action
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