Georg Ell, CEO of Phrase, returns to SlatorPod for round 3 to talk about how the language technology platform (LTP) is evolving amid the AI boom and the shifting dynamics in enterprise SaaS.

Georg shares how Phrase has doubled down on a platform and ecosystem strategy that encourages customers to build solutions on top of the LTP’s system rather than forcing them into a closed system.

The CEO addresses the broader AI narrative affecting SaaS companies and explains that investor uncertainty about long-term software value has created anxiety across the sector.

Georg argues that the AI boom has triggered a “build vs buy” debate inside many enterprises, with engineering teams experimenting with internal solutions. He explains how the gap between building a demo versus running a reliable, scalable system is where most internal projects fail.

Georg notes that core AI translation quality improvements seem to be plateauing, but AI continues to significantly enhance the layers surrounding translation. He highlights improvements in context handling, evaluation, automated post-editing, and orchestration that allow companies to translate more content at lower human review rates.

The CEO says localization must move beyond cost reduction narratives and instead focus on business outcomes such as hiring efficiency, support performance, and revenue metrics. 

Georg predicts 2026 will bring more production-grade AI applications, including personalization, multimodal content, and automation across the enterprise. He believes language technology will be framed as content adaptation and delivery rather than simply translation.