What it really takes to scale localization with AI | Smartling Masterclass Series | Session 2

Teams are under more pressure than ever to scale faster across more content and markets, with fewer resources, all while still keeping quality, brand tone, and customer experience intact. AI promises to help, but many teams are unsure how to use it responsibly or where humans should remain in the loop. In this episode of the Masterclass Series: Lessons from the Best Localization Leaders, Jourik Ciesielski, CTO at ELAN Languages, joins Smartling CEO Bryan Murphy to unpack how AI-embedded localization workflows actually work in practice. Watch to learn how leading teams reduce manual work, modernize QA, and define clear human and AI ownership so they can scale content volume and product velocity without increasing risk. What we cover: Why “quality at scale” becomes harder as speed and volume increase How to balance humans and AI, including what to automate, what requires human review, and what should never be left to AI alone How to modernize QA and LQA with AI using scalable review models and governance How to reset executive expectations around AI and position it as an amplifier of strategy, not a shortcut