Case Study: DBS Bank achieves faster, more accurate candidate assessments with impress.ai

DBS Bank cuts candidate drop-off by 41% with impress

A Fortune 500 global technology consulting company was facing significant challenges with its manually driven hiring process for tech talent. Their inability to personalize assessments, poor candidate engagement, and the occurrence of bias led to a slow, inefficient process with high drop-off rates and inaccurate candidate evaluations. impress.ai's recruitment automation platform was implemented to address these issues.

The impress.ai solution automated the entire assessment process, personalizing it based on candidate persona and technical skill set. The platform integrated with a third-party coding provider and used AI-powered virtual assistants for 24/7 candidate support. This resulted in a 41% reduction in candidate drop-off, saved 396 hours of recruiter productivity, and achieved a 90% candidate satisfaction score.

DBS Bank