Case Study: NUS improves candidate experience and saves screening time with impress.ai

NUS saves 311 hours with impress

A technology consulting firm based in Singapore and Malaysia, a client of impress.ai, was struggling with the manual screening of thousands of applicants for its graduate programs. This process was a significant drain on resources and failed to deliver a candidate experience that matched the firm's innovative brand. They partnered with impress.ai to find a solution.

impress.ai implemented an intelligent, automated workflow that acted as an Applicant Tracking System. It pre-screened candidates, automatically progressed them to technical assessments, and used machine learning to rank applicants. A custom chatbot named TARA was also deployed to answer candidate questions. This solution processed over 900 applications, saved 311 hours of screening productivity, and achieved a 90% candidate satisfaction score.

NUS