AI-Assisted Candidate Screening

Surface qualified candidates faster — with human review gates and bias-auditable criteria

Why manual screening doesn't scale

The average corporate job posting receives 250+ applications. For popular roles at mid-market companies, that number can reach 500+. Recruiters spending 6–10 seconds per resume miss qualified candidates and rely on superficial signals like employer brand and educational pedigree.

Keyword-matching algorithms in traditional ATS platforms reject candidates who don't use the exact terminology in the job posting — even when they have the right skills. Research suggests that up to 75% of qualified candidates are filtered out by automated resume screening before a human ever sees their application.

Without structured screening criteria, different recruiters evaluate the same candidate pool against different standards. This inconsistency leads to bias (both conscious and unconscious) and makes it impossible to audit or improve the screening process.

Compliance requirements are tightening. NYC Local Law 144, the EU AI Act, and emerging state legislation require transparency, bias auditing, and candidate notification when AI is used in hiring decisions. Black-box screening tools create regulatory risk.

How Aurevity HR approaches candidate screening

Structured criteria definition

Before screening begins, Aurevity helps you define explicit, role-specific evaluation criteria — skills, experience patterns, and qualifications — that every candidate is assessed against consistently.

AI-assisted candidate surfacing

Aurevity analyzes applications against your defined criteria, highlighting candidates who match on skills and experience rather than just keywords. Every surfaced candidate includes a clear explanation of why they were highlighted.

Human review gates

No candidate is advanced or rejected without human review. Aurevity surfaces candidates and provides structured reasoning — your recruiters make the decision.

Bias-auditable process

Every screening decision is logged with the criteria used, enabling bias audits and compliance reporting. You can see exactly how candidates were evaluated and identify patterns.

Continuous calibration

As hiring managers provide feedback on candidate quality, the screening criteria can be refined — keeping humans in control of how 'qualified' is defined for each role.

Expected outcomes

70%

reduction in time spent on initial application review

more qualified candidates surfaced from existing applicant pools

100%

of screening decisions include human review

black-box rejections — every decision is explainable

Frequently asked questions

Does Aurevity HR automatically reject candidates?

No. Aurevity surfaces and highlights candidates based on structured criteria, but no candidate is rejected without human review. Recruiters see AI-assisted recommendations with clear reasoning and make the final call on every candidate.

How is this different from ATS resume screening?

Traditional ATS screening uses keyword matching, which misses qualified candidates who describe their experience differently. Aurevity evaluates candidates against structured skills and experience criteria, providing more nuanced matching with transparent reasoning.

Is this compliant with AI hiring regulations?

Aurevity is designed with compliance in mind: human review gates on every decision, bias-auditable criteria, transparent reasoning, and candidate notification support. This approach aligns with NYC LL144, EU AI Act, and emerging state-level AI hiring regulations.

Screen smarter without removing human judgment

See how Aurevity HR surfaces qualified candidates with transparent, auditable AI-assisted screening.