Background

IMDA leveraged Savos to improve the identification and evaluation of digital talent by generating richer candidate intelligence, enabling hiring teams to make more informed and consistent recruitment decisions at scale.

Built on Amazon Web Services (AWS), Savos combines scalable cloud infrastructure with AI-powered candidate intelligence to help IMDA evaluate digital talent more efficiently while supporting secure, resilient, and enterprise-grade recruitment operations.

The Problem

As Singapore’s digital transformation agency, IMDA recruits talent across a wide range of technology, digital innovation, and transformation-focused roles. These positions often require a combination of technical expertise, problem-solving ability, adaptability, and stakeholder collaboration skills.

Traditional recruitment processes relied heavily on resumes and interviews, making it difficult to consistently identify candidates with the right mix of technical and behavioural capabilities early in the hiring process.

The challenge was to provide recruiters and hiring managers with deeper candidate intelligence while improving consistency and scalability across recruitment operations.

Savos leverages Amazon Bedrock to power AI-assisted candidate engagement, candidate intelligence generation, and recruiter decision support, enabling hiring teams to evaluate candidates beyond resumes while maintaining human oversight throughout the recruitment process. The platform is deployed on a highly available AWS architecture comprising Amazon ECS, Amazon EC2, Amazon RDS, Amazon ElastiCache, Amazon S3, Amazon CloudFront, and Amazon Route 53, with Amazon SQS orchestrating recruitment workflows. AWS Key Management Service (AWS KMS), private VPC networking, and Multi-AZ deployment help ensure secure, resilient operations while protecting candidate data.

Outcomes of Project & Success Metrics

Observed operational outcomes included:

  • 85% reduction in recruiter screening effort
  • 3x faster candidate evaluation workflows
  • 35% improvement in shortlisting consistency
  • 25% increase in recruiter productivity
  • 40% faster hiring cycle progression

Built on AWS, the solution enabled IMDA to securely support high-volume digital talent recruitment while improving recruiter productivity, strengthening hiring consistency, and accelerating candidate evaluation across technology-focused hiring programmes.

KPIs tracked include:

  • recruiter productivity
  • candidate engagement rates
  • time-to-shortlist
  • hiring manager satisfaction
  • shortlist quality metrics