AI Talent Screening
A screening assistant that surfaces and ranks qualified candidates against your real requirements, with fairness controls and human decisions at every gate.
Screening is slow and inconsistent, and naive AI screeners encode bias and reject good people for the wrong reasons. arosplatforms builds a screening assistant grounded in your roles, rubrics, and hiring outcomes, deployed in your cloud and owned by you. It matches candidates to structured requirements, explains each match against the rubric, and routes the shortlist to recruiters who make the call. We build in fairness checks, suppress proxies for protected attributes, and keep humans deciding at every gate. Every recommendation is explainable and logged so your process stays defensible.
We translate your job requirements into structured, auditable rubrics with input from your hiring teams.
The assistant parses applications and matches candidates to each rubric criterion, citing the evidence behind every match.
Fairness checks run continuously to suppress proxies for protected attributes and flag adverse-impact patterns.
Recruiters review explained rankings and make every advance or reject decision, with the full trail logged.
What it does
Rubric Matching
Candidates are scored against structured, role-specific criteria rather than keyword guesswork. Screening reflects what the job actually requires.
Explained Rankings
Each ranking cites the evidence behind every criterion met or missed. Recruiters understand the why and can challenge it, not just accept a number.
Fairness Controls
The system suppresses proxies for protected attributes and monitors for adverse impact. Bias mitigation is built in, not bolted on after a complaint.
Human Decisions
The assistant ranks and explains, but recruiters make every advance and reject call. People own consequential hiring decisions at every gate.
Defensible And Owned
Runs in your cloud with a complete, auditable log of every recommendation. You own the rubrics, the models, and the candidate data.
Recruiting teams cut time-to-shortlist by 50 to 70 percent while widening the qualified pool and maintaining documented fairness checks.
Questions, answered
We score against structured rubrics, suppress proxies for protected attributes, and continuously monitor for adverse impact. Every recommendation is explainable and logged, and humans make the final decision at every gate.
No. It ranks and explains matches against your requirements, but recruiters make every advance and reject decision. The assistant supports your hiring team rather than replacing its judgment.
Yes. Rankings cite the rubric evidence behind them, fairness checks run continuously, and every recommendation and decision is logged. The full trail is built to withstand audit and legal review.
Bring ai talent screening to your team
Book a free consultation and we'll map the fastest path to production.