What is an AI interview, how does it work, which positions is it suited for, and what are its advantages over traditional interviews? A comprehensive guide for HR teams in Turkey.
An AI interview is an automated interview flow that analyzes the candidate's voice, video, or written answers in real time with AI models, runs position-specific structured question sets, and produces a comparable evaluation report for the hiring manager. Unlike classic one-way video interviews, the content of the answers is analyzed, not just recorded.
The process consists of four steps: (1) The HR team defines position-specific questions and evaluation criteria. (2) The candidate joins the interview whenever they want via a shared link. (3) The AI assistant interviews the candidate with the structured question set, transcribes the answers, and scores them by competency. (4) A report is generated for the hiring manager with summary, strengths, risks, and missing-information sections.
It suits every position with high-volume pre-screening needs: software developers and technical interviews, sales specialists, customer representatives, store staff, warehouse and logistics staff, call centers, healthcare staff, and finance positions. It works at every scale, from a single position to bulk hiring.
1) Comparable results, since every candidate gets the same questions. 2) The recruiter team is freed from repetitive screening calls. 3) Candidates join at whatever time they want, with no calendar conflicts. 4) Competency-based scoring reduces bias. 5) Interview time drops to hours instead of days.
Designed well, it strengthens the candidate experience: the candidate gets clear information about the process, doesn't wait on calendars, has time to prepare for questions, and sees a transparent evaluation. AI is not a filter but an accelerating layer; the final decision is always made by a human.
To operate under KVKK and GDPR, retention, visibility, and deletion processes for candidate data are structured. Candit.ai provides this operational foundation with role-based access, audit trails, and data lifecycle controls.
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