Off-the-shelf models don't know your product terminology, compliance requirements, brand voice, or what you've already approved. The output can often be technically correct but still wrong for your brand.
That leads to a lack of trust in AI translations, and you can't use what you don't trust. This one-pager lays out how enterprise localization teams are closing that gap to reap the full benefits AI has to offer.
You'll see:
You'll see:
- How AI trained on your own approved translations and glossaries produces output that sounds like your brand, not a generic model's guess
- How confidence scoring decides which translations need a human and which don't — so review effort goes where the risk actually is
- What the workflow looks like for marketing copy, product UI, legal documents, and support content, including who signs off at each stage
- The audit trail, version history, and certifications (SOC 2 Type II, ISO 27001, GDPR) your legal and security teams will ask about
