Agentic AI In Interview Automation

Abstract - Recruitment is a very crucial process for any organization because recruiting the right candidate directly influences productivity and growth. However, traditional interview methods have several drawbacks, including human bias, being time-consuming, not easily scalable, and lacking standardized candidate evaluation. Online interviews have recently become common with remote hiring, but they introduce their own set of challenges like impersonation, cheating, and no real-time monitoring. Recent developments in Artificial Intelligence have allowed for intelligent systems capable of executing complex decision-making tasks autonomously. Agentic AI-a goals-oriented branch of AI that focuses on the self-directed behavior of autonomous entities- has already seen considerable success across health, robotics, and autonomous systems. Drawing inspiration from the success of Agentic AI in healthcare decision-making, this research investigates its application in recruitment. This paper introduces IntelliHire-an Agentic AIpowered interview automation platform that independently conducts interviews, evaluates candidates fairly, and ensures integrity in the interview process. It aspires to minimize human interaction while offering a professional, adaptive, and humanlike interview experience Key Words: Agentic AI, Interview Automation, Intelligent Recruitment, Voice-Based AI, Adaptive Questioning, Cheating Detection, Autonomous Decision-Making