Prescreener

Set criteria · Apply · Score · Recruiter reviews

How to screen resumes with an AI screening agent

Set the role criteria and knockout rules, and the AI screening agent reads the inbound pile the moment applications land. It parses every resume, applies your rules, scores each applicant against your criteria, and hands recruiters a ranked pile with transparent reasons. Here is exactly how it works, from criteria to ranked pile, with a recruiter making every final decision.

Candidate consent and clear AI disclosure before any application is screened. Structured, criteria-based scoring that is bias-audited for fairness aligned to EEOC and NYC Local Law 144. The AI ranks and flags for recruiter review and never auto-hires or auto-rejects.

Resume screening, end to end

How to screen resumes in four steps

Prescreener handles the repetitive reading and triage so your recruiters spend their time on the top matches. You set the criteria, the AI does the parsing, scoring and ranking, and a human makes every hiring decision.

01 / DEFINE

Set role criteria and knockouts

Pick the role and set the criteria the AI scores against, plus the knockout and eligibility rules. You choose what good looks like and which signals matter, so every applicant is measured on the same job-related criteria.

02 / APPLY

Applicants apply with consent

Each applicant sees a clear disclosure that AI is used to screen their application and gives consent before resumes are processed. If the role uses screening questions, every applicant answers the same ones for a consistent screen.

03 / SCORE

The AI parses, scores and ranks

Every resume is parsed into structured data, your knockout rules are applied, and role-fit is scored against your criteria, then the pile is ranked with a reason behind each placement. Scoring is bias-audited for fairness aligned to EEOC and NYC Local Law 144, with no face or personality pseudoscience.

04 / REVIEW

Recruiters review the top matches

Recruiters open a ranked pile with scores, reasons and knockout flags, review the top matches first, and make every final call. The AI only ranks and flags for recruiter review. A human stays in the loop and no one is rejected automatically.

See it for yourself

Watch Prescreener rank an inbound pile

Run it and watch Prescreener parse each resume, apply your knockout rules, score the applicant against your criteria, and rank the pile with transparent reasons and knockout flags, ready for a recruiter to review the top matches.

  • Applicants see a clear AI disclosure and consent before they are screened
  • Prescreener parses every resume and applies your knockout and eligibility rules
  • Each applicant is scored against your criteria, with a transparent reason on every score
  • Applicants are ranked into a pile and the top matches are surfaced for the recruiter to decide
Shortlist Desk
Criteria

top · held

Screen the pile to watch Prescreener parse every resume, apply your criteria and knockouts, and rank the inbound applicants with a transparent reason on each.

Live, interactive · AI assists, you decide · no signup needed

top matches surfaced held for review Reasons on every card

AI assists · you decide · bias-audited (EEOC / NYC Local Law 144)

Across the whole screen

One agent parses, scores and ranks the inbound pile

The same agent runs every stage of screening, so you are not stitching a parser to a scoring tool to a spreadsheet. Recruiters keep the final say at every step.

Automated resume screening

Every applicant is parsed and screened the moment they apply, on consistent criteria, with consent and a clear AI disclosure first. No more inbox backlog or strong resumes sitting unread at the bottom of the pile.

Criteria-based scoring

Each applicant is scored against the criteria you set, so candidates are compared on the same job-related signals. Scoring is bias-audited for fairness aligned to EEOC and NYC Local Law 144.

Ranked applicant pile

Scored applicants are ranked with reasons and knockout flags, and the top matches are surfaced for recruiter review. Prescreener never hires or rejects on its own, a recruiter makes every final call.

What changes when the AI screens the pile

Screen faster, read every resume, keep recruiters in control

When Prescreener screens the inbound pile at scale instead of your team reading resumes one at a time, the time-to-shortlist drops and no qualified applicant gets missed.

Cut time-to-shortlist

Resumes are screened the moment candidates apply instead of waiting in a queue, so recruiters get a ranked pile in minutes, not weeks.

Read 100% of resumes

Every applicant is parsed and screened against the same criteria, so strong candidates in a high-volume pile never slip through because no one had time to read their resume.

Fairer, consistent scoring

Consistent criteria-based scoring that is bias-audited for fairness aligned to EEOC and NYC Local Law 144 replaces inconsistent manual review, with a transparent reason on every score.

Recruiters keep the decision

Prescreener ranks and flags for recruiter review and never auto-hires or auto-rejects, so your team makes every call with the full context in front of them.

Prescreener is decision-support for your recruiters. The AI scores and ranks, people decide. It does not make hiring decisions on its own.

Go deeper

Explore how each part of screening works

Stop reading the pile by hand. Let the AI screen your resumes.

Set your criteria and knockouts and Prescreener parses every resume, scores each applicant, and hands recruiters a ranked pile with reasons. Candidates consent and the AI is disclosed up front, and your recruiters make every final decision.

Consent & AI disclosure up front · Bias-audited, criteria-based scoring · Recruiter makes the final call