A Case Study in AI-Driven Localization Strategy

Track: Multilingual AI | AI6 |   Everyone |
Thursday, October 16, 2025, 11:30am – 12:00pm
Held in: Steinbeck 1
Presenters:
Mandy Morgan - Welocalize 
Jenny Reid - RingCentral
Host: George Zhao

In this case study, the presenters will share how AI-driven localization workflows have optimized multilingual content production by accelerating turnaround times, reducing costs, and expanding language coverage without increasing budget. By strategically integrating machine translation (MT), AI post-editing (AIPE), and AI quality estimation (AIQE) with human-in-the-loop (HITL) oversight and our in-house TMS, we have achieved scalable, high-quality global content delivery. This session will provide actionable insights into our AI-powered localization strategies, tool integration, and measurable business impact, offering practical takeaways for organizations looking to optimize localization at scale.

Key Takeaways:

• Unlocking AI ROI: How AI-driven localization accelerates turnaround times and reduces costs without sacrificing quality
• More Languages, Same Budget: How AI-enabled workflows helped us scale localization without overspending
• The AI-Human Balance: How to blend automation with human expertise and measure real-world success