7 Ways AI Translation Breaks in Production (And How Teams Fix It)
AI translation fails predictably in production through placeholder mismatches, incomplete plural forms, structurally invalid files, and unwanted translation of brand names. Teams mitigate these risks with automated validation, translation memory, and treating AI output as untrusted input that requires verification before deployment.