Learn how leading enterprise teams are governing AI translation quality.

As AI translation becomes embedded in enterprise content workflows, the conversation is shifting from whether AI can translate to whether organizations can trust the output enough to publish it.

• • How do companies evaluate AI translation quality at scale?
    
  • What metrics actually matter?
    
  • When should humans remain in the loop?
    
  • How do enterprises balance speed, cost, risk, and customer experience?
    
  • And perhaps most importantly: how can organizations build systems that verify quality rather than simply assume it?
    

With AI translation volumes growing 218% year over year across enterprise programs, the question is no longer whether to use AI but how to verify the output. In this live panel, industry leaders will explore how localization teams are approaching AI translation quality in practice, including the technologies, workflows, and governance models helping organizations deliver multilingual experiences that convert.