Apex Recruiting
Modeled outcome: most weekly candidates screened automatically; recruiters spend their time on the close calls
Representative scenario, not a real named customer. The metrics are illustrative modeled outcomes; the workflow showcase uses current SKYCOT template data.
This profile models a high-volume technical recruiting funnel where most of a recruiter's week goes to obvious-yes / obvious-no triage. Priya is configured to score against the role rubric, attach an auditable reason code to every decision, and ask for human review on any score inside the close-call band.
Picture a recruiting firm filling senior technical roles. Its screening pipeline runs a high volume of candidates per recruiter each week — high volume, narrow funnel, low conversion to phone-screen — and recruiters report that much of their week is triage they would describe as "obvious yes or obvious no."
Generic AI resume-screeners tend to get abandoned quickly: one with no concept of bias mitigation, another with no audit trail. Both ship "decisions" recruiters cannot defend to candidates or clients.
In a SKYCOT deployment, Priya runs the people-screen-candidate workflow. She scores against the role-specific rubric the recruiter authored, flags every candidate she rejects with a structured reason code, and asks for human review on any score within the close-call band. The bias-mitigation skill is a workflow step the recruiter can audit — not a black box.
In this profile, Priya handles the large majority of the weekly volume, and recruiters spend their time on the close calls — the work humans are good at.
First-pass candidate screen against a JD with skill-match scoring.
screen_candidate
Application submitted
Greenhouse / Lever webhook on new application.
Score against JD
Skills + experience + signal match; 0-100 score + 3 highlights.
Score ≥ 70?
Move to recruiter review. Else polite decline.
Update ATS + notify recruiter
Greenhouse stage + Slack ping.
This profile uses the workflow shape shown here. The first 4 steps are shown; the full template includes triggers, approval gates, and downstream tool calls.
What this profile shows: a screening deployment where every decision carries a structured, defensible reason code rather than a black-box verdict.
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