Multi-language support automation
Serving a multilingual customer base usually means hiring for language coverage or losing guests who can't get a response in their language. This playbook auto-detects the guest's language and responds in kind across chat, email, and SMS - a real differentiator for hospitality and service-heavy operators.
Identify your top guest languages
Use past support tickets or guest demographic data to know which languages actually matter for your customer base - don't guess.
Connect detection and response across channels
Language auto-detection should work consistently whether the guest reaches out by chat, email, or text.
Validate quality with native speakers
Before full rollout, have native speakers review sample AI responses in each priority language for tone and accuracy, not just literal correctness.
Worth knowing
Auto-translation quality varies significantly by language pair - some languages translate cleanly, others lose nuance. Spot-check the languages that matter most to your guest base specifically.