AI is reshaping how we design, build, and localize learning - but speed without sense can miss the mark. In this session, RWS shares a practical, human-in-the-loop approach that turns AI from a headline into real production value. AI can accelerate everyday eLearning tasks - storyboards, scripts, assessments, and multimedia - while experts ensure pedagogy, accuracy, and brand alignment. You’ll see how translation and audio impact multilingual delivery scalability, and get a peek at what’s next, including AI dubbing in development. Along the way, we’ll tackle the realities teams face: volume, multilingual demands, and tight timelines and budgets. At RWS, AI speeds up the process; people make it work - for learners, for quality, and for impact.

• Identify where AI can be most beneficial in an end-to-end eLearning project.
• Explain why AI alone isn’t enough and where human‑in‑the‑loop safeguards pedagogy, cultural intelligence, and quality.
• Identify how translation, localization, audio, and emerging AI capabilities (e.g., dubbing) influence scalable multilingual eLearning delivery.