Interview workflows with
readiness context and clear checkpoints
Kempian interview workflows surface candidate readiness signals before the conversation starts. Every evaluation has a human decision point. AI Confidence supports, not replaces, interviewer judgement.
How the interview workflow works
Interview stage created
Cal schedules the interview from approved outreach. Candidate context — AI Confidence score, missing signals, role requirements — is packaged for the interviewer.
Readiness context surfaced
Before the interview, the system surfaces relevant signals: skill gaps to probe, licence verification status, shift preference gaps. Interviewer enters prepared.
Evaluation recorded
Interviewer captures structured feedback. AI Confidence from sourcing is shown alongside — not replacing — the interviewer's own assessment.
Operator decision
Recruiter reviews combined AI + interviewer signal. Approves for next stage, holds for additional evaluation, or rejects with a documented reason.
Human oversight in interview
No automated interview decision. AI Confidence is context — the interviewer and recruiter make the evaluation call. Override always available with documented reason.
AI Confidence in this stage
Readiness signals — skill verification, licence status, experience alignment — are shown to the interviewer as context, not as a verdict. Interviewer assessment is the primary input.
Full AI Confidence model →See interview workflows in action
We will walk through the interview stage flow, readiness context display, and recruiter review gate.