Case Study: IRAS achieves more consistent hiring and faster candidate assessment with impress

IRAS improves hiring consistency by 70% with impress

The Inland Revenue Authority of Singapore (IRAS) faced a challenge in consistently hiring for analytical and compliance roles. Traditional recruitment methods provided limited insight into how candidates approached complex problems, making it difficult to evaluate large volumes of applicants with similar credentials. To address this, IRAS partnered with vendor impress and its Savos platform, built on Amazon Web Services (AWS).

Using impress's AI-powered Savos solution, IRAS improved candidate intelligence generation and recruiter decision support. The implementation resulted in significant measurable impacts, including a 50% reduction in evaluation effort, a 45% faster applicant assessment cycle, and an 80% increase in recruiter productivity. impress enabled IRAS to make more consistent, evidence-based hiring decisions while securely scaling its recruitment operations.

IRAS (Inland Revenue Authority of Singapore)