Insights

A realistic view on the role of AI in professional localization workflows, quality control, and decision-making.

How structured workflows, review cycles, and collaboration models support growth without quality loss.

What localization leads and procurement teams actually look for when selecting external partners.

Real-world quality risks encountered in EN–NL localization projects — and how structured QA prevents them.

How inconsistent terminology undermines quality, scalability, and brand consistency in localized content.

A practical framework to help international teams decide between translation and transcreation.