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AI USE CASE
AI translation & localisation pipeline
Continuously translate product, marketing and support content into every market.
What it is
An LLM pipeline with translation memory and glossary support translates docs, UI strings, support articles and marketing pages into 5–20 languages, with human reviewers polishing high-stakes content. Cuts localisation cost 60–80% vs traditional agencies.
Data you need
Glossary of terms, brand guidelines per language, optional translation memory.
Required systems
- marketing automation
- project management
Why it works
- Always have a native reviewer on customer-facing copy
- Centralise glossary and term-base ownership
How this goes wrong
- Idiomatic content that lands flat in target locale
- Glossary drift across languages over time
When NOT to do this
Don't auto-publish translated legal or medical content without licensed review.
Vendors to consider
This use case is part of a larger Data & AI catalog built from 50+ enterprise transformation programs. Take the free diagnostic to see how it ranks against your specific context.