Automate It All? DHL’s GenAI Translation Pilot, Our Leap of Faith—and Why We’re Still Smiling

Explore DHL’s journey from traditional machine translation to a smart, GenAI-powered translation ecosystem. This session presents a comparative evaluation of GenAI, memoQ’s AGT, and human translation workflows using a standardized LQA framework. We’ll share insights from blind testing, error scoring, and style guide optimization—highlighting how (Gen)AI can complement human expertise in multilingual content delivery. Learn how we integrated memoQ, translation memory and glossary data, as well as AI proofreaders into a unified workflow with the help of APIs, supported by real-world testing across six languages—only to discover that humans still have the upper hand (for now). Join us for a candid look at what worked, what didn’t, and how we’re gearing up to scale this solution, deepen TM integration, and bring this hybrid system into production—with a smile and a few lessons learned.

Christian Wecke leads the Language Data & Technology Management team at DHL’s Corporate Language Services (CLS), where he’s shaping the future of how the world’s largest logistics company communicates flawlessly across borders, connecting people, and improving lives. At the intersection of AI, language data, and enterprise platforms, Christian explores how APIs unlock the power of LLMs in the field of translation and localization—because in a world of AI, everything speaks API. His work focuses on building scalable, intelligent language and translation infrastructures that connect people, data, and platforms across more than 220 countries and territories. At NFTI 2025, Christian shares insights from CLS’s global transformation journey and its first steps toward an orchestrated, LangOps-driven ecosystem—where automation, intelligence, and human expertise converge.