Case Study: Global Software Company achieves 90% reduction in candidate processing time with SHL

90% reduction in candidate processing time by using AI-powered spoken English assessment

Global Software Company, a large technology firm recruiting in China, faced slow, manual English evaluations that took over two weeks, caused candidate dropouts and introduced bias and scaling limits. To address this, they engaged SHL and deployed an AI‑powered spoken English assessment (SVAR) to standardize and accelerate candidate screening.

SHL’s SVAR used machine learning and voice recognition to score pronunciation, fluency, comprehension, grammar and vocabulary across thousands of applicants, with 100% cloud deployment and mobile access. The solution cut candidate processing time from two weeks to one day, evaluated 5,000 candidates in two days, reduced hiring‑cycle dropouts by 40%, and showed a 0.7 correlation with the company’s manual scores—delivering faster, more objective hiring outcomes.