Clase magistral: Lecciones de los mejores líderes de loc

Teams are under more pressure than ever to scale faster across more content and markets, with fewer resources, 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 share lessons from designing and scaling AI-embedded localization workflows in real production environments.

Drawing from hands-on experience operationalizing AI at scale, Jourik shares what holds up, what breaks, and what has to change when AI moves from experimentation into production. You’ll learn practical frameworks for reducing manual work, modernizing QA, and defining clear human and AI ownership so you can scale content volume and product velocity without increasing risk.

Lo que cubriremos:

• • 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 (Quality Assurance) and LQA (Linguistic Quality Assurance) 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