Case Study: a multilateral financial institution achieves 90% higher hiring accuracy with impress.ai

A Multilateral Financial Institution boosts its hiring accuracy by 90% to find the best candidates with impress.ai

A multilateral financial institution in Beijing was receiving more than 1,000 applications a year, and its manual pre-screening process was time-consuming, inefficient, and vulnerable to bias. It turned to impress.ai to help automate hiring and improve the quality of candidate selection, using the impress.ai chatbot SAM for pre-screening and technical assessment.

With impress.ai, the institution automated pre-screening, FAQs, and assessment workflows so candidates could be reviewed against evidence-based criteria with minimal recruiter intervention. The result was a 93% reduction in pre-screening time, a 14-day productivity gain for recruiters, 96.7% of applications completed without recruiter intervention, and more than 90% recruitment accuracy, along with a 90% satisfaction rating on candidate queries.