Study Case: Nike: Scaling Quality at Speed

The Stakes: Managing the Nike account meant handling a staggering volume—over 4 million words of high-visibility marketing and internal content. The traditional review process was becoming a bottleneck.

The Fix: I moved us toward innovation by designing and rolling out a Machine Translation (MT) evaluation framework. This wasn't about replacing humans, but about smartly integrating tech. I used the data to inform Nike's custom MT engine roadmap while maintaining strict human LQA oversight.

The Win: This strategy cut review cycles by 25%, significantly speeding up time-to-market, all while maintaining an error rate of less than 0.5%.