A multilingual publishing workflow with AI speed and human accountability

The organisation needed to publish a substantial body of multilingual content with consistent structure. Purely manual translation created a severe cost and throughput constraint, while unreviewed machine output was not acceptable.

We built a local AI-assisted workflow for first-pass translation and connected it to a deliberate human audit process for terminology, tone and edge cases.

Translation became a governed production workflow rather than a choice between slow manual work and uncontrolled automation. People remained responsible for final quality while the system handled repeatable effort.

• A substantial body of multilingual content can be published with consistent structure and terminology.
• People stay responsible for nuance and accuracy before anything is released.
• The publisher gained throughput without giving up editorial control.

• First-pass translation runs locally and feeds a deliberate human audit rather than publishing directly.
• Hebrew and French content are produced through one governed pipeline.
• Terminology, tone and edge cases are handled at a defined review gate rather than patched after publication.