Also on Expertini ATS — see how this works inside our applicant tracking platform.
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"AI reduces hiring time from 32 days to 9 days on average"
— SSRN (2024). Expertini Analyzed How Artificial Intelligence Is Impacting the Recruitment Industry. Computing Catalyst.
Takeaway: AI-powered recruitment at Expertini doesn’t just save time—it improves candidate quality, reduces bias, and enhances retention outcomes at scale.
View Original Research →
How Expertini Job Score™ Cuts Screening Time by 80%
23 hours
Saved per hire (vs manual screening)
92%
Reduction in unqualified applicants
6.2x
Faster shortlisting
Our AI analyzes 127+ data points per CV/Résumé, including:
Calculate Your Potential Time Savings
Expertini could save you:
69 hours/month ($4,140 at $60/hr)
Traditional Screening vs. Expertini Job Score™
| Metric | Manual Screening | Expertini AI |
|---|---|---|
| Time per application | 6-8 minutes | 12 seconds |
| Bias risk | High | Negligible |
| Cost per hire | $4,129 (Avg) | $0 |
Source: Expertini Analyzed How AI Is Impacting Recruitment (SSRN, 2024)
3-Step Implementation
1. Upload Job Requirements
Our AI extracts key competencies in 2 minutes
2. Set Priority Filters
Must-haves vs nice-to-haves (weights adjustable)
3. Receive Ranked Candidates
Get Job Score™ reports with compatibility percentages
Key Findings from Expertini's Research
Expertini Analyzed How Artificial Intelligence Is Impacting the Recruitment Industry
Expertini | March 2024
Read Full Study →Start Saving Time Today
Get Your Applicants Resume Score Book A Free Call
Predictive Hiring: How AI Boosts Retention & Performance
Expertini's algorithm evaluates long-term potential using:
All within seconds — with no manual scoring required.
Compliance, Fairness & Diversity: Built-In by Design
Expertini AI adheres to global compliance frameworks like:
Result: Diverse shortlists and inclusive hiring pipelines—without legal risk.
+34%
More underrepresented candidates reached interview stage
Expertini aims to made hiring faster and bias free. We don't guess anymore—we predict.
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