Global training only works when it reaches people in their own language. But keeping content current across a hundred-plus languages every time it changes is one of the hardest scale challenges in learning and enablement today. Cummins, a global power and technology leader with more than 70,000 employees, tackled this by building a localization approach that pairs AI-assisted translation with structured human review and technical validation.
Their enablement team moved away from manual course rebuilds, to a workflow where reviewers focus on nuance, terminology, and compliance while AI handles repetitive first-pass translation at scale. The team was able to significantly expand its ability to deliver multilingual learning at scale while maintaining a focus on technical accuracy, quality, and compliance through a combination of AI-assisted translation and structured human review.
In this session, you’ll learn:
- What Cummins delegates to AI, where human judgment is directed, and the lessons learned along the way
- How the process reduced reviewer effort, saving the equivalent of approximately 48 weeks of review time annually while maintaining a focus on brand and technical accuracy
- Best practices for getting started
