Shortlist candidates from resume submissions
Run AI resume screening on every submitted application, score candidate fit against your hiring rubric, and surface standout applicants to the hiring team with automated candidate screening that logs each assessment.
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On a set schedule (e.g. daily), the automation retrieves newly submitted candidate applications from [applicant tracking system, e.g. Greenhouse, Lever, Workable, or form (e.g. Google Forms, Typeform)]. An AI agent retrieves the attached resume and evaluates it against the hiring rubric and criteria held in its knowledge base. It reasons about how the candidate's experience maps to the [role information retrieved from ATS], produces an evidence based fit score with a summary, key strengths, and key gaps, and decides whether the candidate clears the bar for the team's attention. Every assessment is recorded in [applicant tracking system] for comparison, and standout applicants are surfaced to the hiring team in real time via [notification channel, e.g. Slack, email].
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Problem
Recruiting teams read every inbound resume by hand, judging each one against the role's criteria before deciding who advances. When applications pile up, screening becomes slow and the bar drifts from reviewer to reviewer and day to day. Strong candidates get buried and accept other offers, and there is rarely a documented record of why anyone was passed over.
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Solution
When a candidate submits an application in the applicant tracking system, an AI agent retrieves the resume and evaluates it against the hiring rubric held in its knowledge base. It reasons about how the candidate's experience maps to the role, produces an evidence based fit score with a summary, key strengths, and key gaps, and decides whether the candidate clears the bar. Every assessment is recorded for comparison, and standout applicants are surfaced to the hiring team in real time.
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Impact
Every applicant is judged against the same rubric and strong candidates reach the hiring team while still available, with a documented reason behind every decision.
Benefits
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Consistent candidate scoring
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Faster shortlist creation
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Evidence based assessments
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Reduced time to hire
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Success stories
Adapt at speed with visual-first automation and AI
Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.
