Resume-screening assist and structured scorecards
An AI assistant that reads each resume against a job-specific rubric and returns a structured scorecard with evidence, so your recruiters spend their time on real candidates instead of the first pass. A human still makes every decision.
Likely tools or environments
Scores run from 1 to 5. Ease and impact: higher is better. Risk: higher means more care and human review. Scored by our team as a general guide. Your tools, information and policies can change the picture. How we score
What this could change
What changes when every resume is scored on the same rubric, with evidence
- Before: Recruiters spend an average of 7.4 seconds on an initial resume scan, and two reviewers often rank the same stack differently with no record of why. After: Each candidate gets a scorecard against a job-specific rubric, with the resume line behind every score and open questions listed, and no hire or reject verdict.
- What it needs: A weighted, job-related rubric agreed with the hiring manager, controlled storage for resumes, blind screening of off-rubric signals, and a check of your local notice and audit rules.
- What stays human: A recruiter reviews every scorecard and makes every advance or decline call; nobody is rejected automatically, and selection rates are checked for adverse impact.
The exact design depends on your tools, information, policies, and tolerance for risk. Aravise explains the outcome and requirements publicly; the implementation happens inside an engagement — coached so you can run it yourself, or built with your team through Embedded AI Delivery.
Sources
- Workday Recruiting customers processed 173 million job applications in the first half of 2024 - a 31% increase - while job requisitions rose only 7%, meaning applications grew roughly four times faster than openings. — Workday Global Workforce Report, 2024
- Recruiters spend an average of 7.4 seconds on an initial resume scan, according to an eye-tracking study. — Ladders, 2018
- Amazon scrapped its experimental recruiting AI after it learned to downgrade resumes that included the word "women's". — Reuters, 2018
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