Key Result
70% faster hiring, 85% less screening
An enterprise HR team was processing over 500 applications per week manually. Inconsistent shortlisting criteria across hiring managers meant that candidate quality varied wildly between teams and roles.
Time-to-hire was averaging 45 days, well above industry benchmarks. Candidate experience was suffering from slow response times — top talent was accepting offers from faster-moving competitors before the HR team could complete their review cycle.
The company needed an AI-powered system that could screen candidates consistently, reduce manual effort, and accelerate the entire hiring pipeline without introducing bias or sacrificing quality.
AINinza built an AI-powered CV screening system with NLP-based skill matching. The system automatically scores candidates against role requirements using structured extraction from CVs, cover letters, and LinkedIn profiles, delivering a ranked shortlist to hiring managers within minutes of application.
Smart scheduling integration with Calendly automates interview booking for shortlisted candidates. Bias detection guardrails ensure the screening model evaluates candidates on skills and experience only, with regular fairness audits built into the pipeline.
70%
Reduction in Time-to-Hire
85%
Reduction in Manual Screening Hours
20%
Improvement in Offer Acceptance Rate
2 weeks
4 weeks
3 weeks
3 weeks