How accurate are AI translators today?

AI translators can deliver strong draft quality for repetitive and domain-limited text, but human review is still essential for legal, medical, regulated, and brand-sensitive content.

How can teams improve AI translation quality in production?

Teams usually improve outcomes by combining glossary and terminology control, domain-specific prompting, translation memory, bilingual QA checks, and a human post-editing workflow.

When is human translation still preferred?

Human translation remains preferred when nuance, liability, cultural adaptation, and publication quality are required, including contracts, life-science documents, and external marketing assets.

Quality Metrics: What Procurement Should Actually Measure

2026-04-12 02:00:48

The best quality metric is one you can audit

Many vendors present quality dashboards. Procurement should focus on metrics that translate into acceptance actions:

can you reproduce the defect?
can you trace the fix?
will it be prevented next release?

Three procurement-grade metrics

1) Critical defect rate

Terminology, numbers/units, compliance wording.

2) Sampling coverage

Without sampling, there’s no evidence.

3) Closure cycle time

How fast defects move from discovery to verified fix.

Our delivery model

We attach QA evidence to delivery: sampling approach, defect severity, and traceable closure — so procurement can manage vendors with control, not vibes.

Related services

Quick FAQ: AI Translation Accuracy

How accurate are AI translators? Accuracy is often high for repetitive or general content, while domain-sensitive content still needs expert review.
How to improve AI translation quality? Use glossary control, domain prompts, QA checks, and human post-editing in one workflow.
Where does human translation still win? Legal, medical, and high-stakes brand content usually requires human nuance and accountability.