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Use Case

HR Team Screens 10x More Applicants With AI

50-person company handles 500 applicants/role instead of struggling with 50.

1 min readupdated 2026-07-04

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The HR team was drowning in applicants for engineering roles but couldn't hire more recruiters. 50-person company handles 500 applicants/role instead of struggling with 50.

50-person company handles 500 applicants/role instead of struggling with 50. The HR team was drowning in applicants for engineering roles but couldn't hire more recruiters. Outcome: Time-to-first-response dropped from 5 days to 6 hours. Time-to-hire cut in half. Hiring manager NPS on candidate quality went up. This use case node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Situation
The HR team was drowning in applicants for engineering roles but couldn't hire more recruiters.
Tools Used
Workflow Applied
Outcome
Time-to-first-response dropped from 5 days to 6 hours. Time-to-hire cut in half. Hiring manager NPS on candidate quality went up.
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What is the HR Team Screens 10x More Applicants With AI use case?

The HR team was drowning in applicants for engineering roles but couldn't hire more recruiters.

What was the outcome?

Time-to-first-response dropped from 5 days to 6 hours. Time-to-hire cut in half. Hiring manager NPS on candidate quality went up.

Which tools were used?

ai-support-agent-stack.

/ topics#hr#ops

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