Recruiting with
visible fit signals. Not gut feel.
Kempian replaces opaque scoring with multi-signal AI Confidence. Every shortlist shows the factors, every decision creates an audit record, no candidate is contacted without a human approval step.
Workflow transformation
How Kempian changes recruiting at each stage, not just the search box.
Manual CV screening. Hours per role, inconsistent criteria.
Aria sources. Max scores. Factor-level confidence on every candidate.
Shortlists built on gut feel or keyword matching
Shortlist ranked by named signals: skills, experience, compliance, location
No record of why a candidate was shortlisted or rejected
Every decision logged: recruiter ID, score seen, action, timestamp, reason
Outreach sent without knowing if timing or message is right
Nova runs governed sequences with reply classification and Quinn handoff on interest
Capture before it becomes a requisition
Demand intake batches incoming role lines from VMS, email, and direct entry. Reviewers approve, assign, or convert. Every action is logged.
Demand
Review and approve role lines before converting to requisitions
AI Insight
8 roles awaiting review across 30 demands. Approve to unlock sourcing.
Next Best Action
Review 8 pending roles. Approve to unlock sourcing.
Demand Intake
25/30 demands · 30 rolesSenior SRE
Acme Cloud · DEM-A1B2C3 · VMS-sourced
Director of Clinical Operations
Globex Healthcare · DEM-D4E5F6 · Email · Urgent
Lead AI Engineer
Hooli AI · DEM-G7H8J9 · Manual
ICU Travel Nurse · 13-week
Initech Medical · DEM-K0L1M2 · VMS-sourced
Home Health Aide · Field
Stark Care Group · DEM-N3P4Q5 · Manual · Incomplete
How Kempian works in recruiting
Demand captured
Morgan parses the requirement from email, VMS, or manual entry and creates a structured requisition for Gate 1 review.
Aria sources candidates
Searches across your connected systems, the Kempian Talent Hub, and configured external channels. Cross-domain mismatches rejected before scoring.
Max scores and ranks
Every candidate receives AI Confidence with named factors: skills, experience, compliance, location. Missing signals flagged, not hidden.
Recruiter reviews
Gate 2: full factor breakdown visible. Recruiter approves, holds for more data, or rejects each candidate. Reason required.
Nova executes outreach
Gate 3: recruiter explicit approval before any candidate is contacted. No automated cold outreach ever.
AI Confidence in recruiting
Every candidate receives a named AI Confidence score. Not a single opaque number. Recruiters see which factors drove the score, what data is missing, and what the system recommends next.
Kempian evaluates named professional signals only: skills, experience, compliance status, location fit. It does not infer or evaluate demographic characteristics, personal attributes, or any protected class signal.
Full AI Confidence model →Signal groups evaluated in recruiting
Required + preferred skills confirmed
Years, domain, role seniority
Licences, certifications, background status
Distance, remote preference, relocation
Not evaluated. Avoids protected class inference.
Human oversight in recruiting
Gate 2 · Shortlist review
Recruiter reviews every AI Confidence score before the shortlist is finalised. Can approve, hold for more data, or reject with a required documented reason. No outreach until approved.
Gate 3 · Outreach approval
Recruiter explicitly approves contact before Nova sends the first message. Every approval logged: recruiter ID, timestamp, candidate, message template used.
See recruiting in a live walkthrough
A sourcing cycle for a role in your vertical. AI Confidence, missing signals, Gate 2 approval, outreach governance.