AI Interviewing
AI interviewing is the use of a conversational AI agent to conduct live, adaptive candidate interviews, asking role-specific questions, probing follow-ups based on candidate responses, and producing a structured, scored evaluation backed by transcript evidence.
AI interviewing is distinct from video interviewing, where candidates record responses to pre-set questions. In AI interviewing, the conversation adapts to what the candidate says, producing richer data and enabling integrity checks that video recording cannot.
How AI interviewing works
- •The candidate receives a unique, time-limited interview link
- •An AI agent greets the candidate and explains the process
- •The AI asks role-specific questions based on the job description
- •The AI listens to responses and asks follow-up questions dynamically
- •Proctoring checks run in real time throughout the interview
- •The transcript is scored immediately after the interview by an AI scoring agent
- •The recruiter receives a hiring summary with scores, evidence, integrity report, and recommendation
What AI interviewing produces
- •Full transcript of the conversation
- •Score across defined dimensions (e.g. technical competency, communication, problem-solving, behavioural indicators, role alignment)
- •Evidence references - specific quotes that supported each dimension score
- •Integrity report from proctoring checks
- •AI hiring recommendation
- •PDF export for sharing with hiring managers
AI interviewing vs video interviewing
The key differences: AI interviewing is a live conversation; video interviewing is pre-recorded responses. AI interviewing adapts questions; video interviewing uses fixed questions. AI interviewing produces structured scores with evidence; video interviewing requires human review of recordings.
Compliance requirements for AI interviewing
AI interviews must comply with data protection obligations including candidate consent before the interview begins, AI disclosure so the candidate knows they are being assessed by AI, recording consent for transcript storage, and audit logging of all AI scoring decisions.