The client’s HR team was manually screening 300–500 applications per role, resulting in heavy operational load and inconsistent shortlisting. Recruiters were spending most of their time reviewing resumes, which extended the average time-to-hire to 28 days. This slowed down hiring cycles and affected project staffing timelines.
TheNoah.ai was adopted to automate early-stage recruitment using AI-driven workflows.
Pre-trained AI models for resume screening and skill matching
AI agents for candidate ranking and shortlisting
No-code workflows for end-to-end screening automation
Contextual intelligence mapping candidate profiles to job requirements
Reduction in resume screening time
Faster time-to-hire
Increase in recruiter productivity
Improvement in application processing capacity
Reduced revenue loss through faster role fulfillment
Lower cost per hire with improved recruiter efficiency
Improved talent quality from broader candidate evaluation
Better hiring decisions through standardized screening