Background

IRAS leveraged Savos to improve the evaluation of candidates for analytical and compliance-focused roles by generating richer candidate intelligence and enabling more consistent hiring decisions.

The Problem

IRAS recruits for roles that require strong analytical thinking, attention to detail, sound judgement, and the ability to operate within highly regulated environments.

While candidates often possess similar academic credentials and professional experience, traditional recruitment methods provide limited visibility into how individuals approach complex problems, interpret information, and make decisions.

The challenge was to improve the quality and consistency of hiring decisions while reducing the effort required to evaluate large volumes of applicants.

Outcomes of Project & Success Metrics

Observed operational outcomes included:

  • 50% reduction in evaluation effort
  • 45% faster applicant assessment cycles
  • 70% improvement in evaluation consistency
  • 80% increase in recruiter productivity
  • 35% faster time-to-shortlist

KPIs tracked include:

  • recruiter productivity
  • application processing time
  • hiring manager satisfaction
  • candidate engagement rates
  • shortlist quality metrics

Lessons Learned

Key lessons learned included:

  • traditional screening methods provide limited visibility into analytical capabilities
  • AI-assisted investigations improve evaluation consistency
  • structured candidate intelligence supports stronger hiring decisions
  • evidence-backed recommendations increase recruiter confidence