Contents
Localization is reaching a tipping point. The traditional workflow-based model - built on static templates, manual setup, and linear handoffs - is increasingly out of step with the speed of modern content. As a result, teams face growing delays, and many are turning to shadow AI tools just to move faster. This session explores what comes next: a shift toward more adaptive approaches where content is interpreted in real time based on intent, risk, audience, and urgency, and then routed dynamically through the right mix of automation and human review. In this emerging model, speed and compliance are no longer tradeoffs. We’ll also ground the discussion in a practical example of how this works in practice with XTM Go for agentic orchestration.
Takeaways
Learn why “shadow AI tools” exist and how to bring enterprise content back under a governed localization environment. Discover where localization is heading next with headless, agentic orchestration that dynamically makes workflow decisions from the content itself. Explore how AI is replacing manual project configuration, shifting localization leaders from managing workflows to defining governance, risk controls, and optimization rules.