Recruitment operations demo

AI Candidate Intake & Shortlisting System

A production-style MVP showing how recruitment agencies can automate candidate intake, AI-assisted screening, shortlist decisions, ATS updates, and audit logging without removing recruiter oversight.

Business outcome

Speed up recruiter response times and reduce repetitive screening work while keeping clear human approval points.

Reduce manual candidate screening
Improve shortlist consistency
Keep recruiters in the review loop
Prepare ATS-ready candidate notes

Candidate intake

Profile input

Mock AI

AI evaluation

Aisha Morgan

Senior Cloud Engineer

Fit score

96

Aisha Morgan appears to be a strong match for Senior Cloud Engineer. The profile shows relevant experience that can be quickly reviewed by a recruiter before client submission.

Shortlist for recruiter screening and prepare a client-facing candidate summary.

Matched skills

AWSAZURETERRAFORMKUBERNETESCI/CDSECURITY

Review gaps

PYTHON

Recruiter action

Pending recruiter review

ATS update

Candidate record: created

Status: Pending recruiter review

Recruiter note: generated

Notification: ready for email or Slack

Audit trail

  1. Demo system initialised
  2. Open roles loaded from ATS
  3. Recruiter review queue ready

Architecture shown

Intake form, AI scoring layer, recruiter review queue, simulated ATS update, notification readiness, and audit log. The mocked AI layer is isolated so it can be replaced with a real OpenAI API route later.

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