Interview by Cameron Rasmusson

Translated co-founder Isabelle Andrieu discusses the company’s origins, its preparations for the AI era, and the future it envisions for its many clients and translators. She also offers advice to language service professionals — build your ability to adapt — and leads by example.

By Rishi Anand

The booming language services market benefits from operational automation to assist with complex manual workflows. Translation business management systems (TBMSs) provide the intelligent infrastructure to automate client, vendor, and finance management, enabling efficient scaling and meeting enterprise compliance needs.

By Pham Hoa Hiep

AI is supposed to be a productivity accelerator, enabling linguists to do more work more quickly. But what happens when AI-driven workflows cost more time and frustration than human-driven translation?

By Christine Clay

The author discusses the “pilot-to-production gap” in adopting AI to support multilingual content. Scaling AI requires integrating it into existing translation infrastructure, maintaining human oversight, and consistently applying terminology and translation memory to ensure quality and trust.

By Josevi Abad

As a company focused on improving wellbeing in the business world, we asked the question: Could AI do the same for us? Thanks to intelligent automation, we were able to do just that.

By Maurizia Gregorio

The language industry’s future depends on recognizing that AI requires a human architecture of trained professionals. Linguists and governance experts provide essential accountability, nuance, and oversight that AI cannot replace, and eliminating these roles would destabilize the system.

By Giovanna Patruno

Despite being technically and grammatically correct, AI-generated text reads as empty because it performs only one of six functions of communication. The author examines AI content’s lack of substance from a translator’s perspective and suggests ways reclaim communication as an act of thought and relationship.

By Carol Velandia

Language access, which is a civil right, cannot be fully automated by AI, especially in high-stakes situations like legal or medical settings. Human professionals are indispensable because they provide judgment, cultural leadership, agility, and governance and manage the complexity, trauma, and ethical responsibility that AI cannot handle.