Optimising Employee Referral Programs: A Comprehensive Artificial Intelligence-Based Approach

The study investigates how using artificial intelligence (AI) in employee referrals can revolutionise the hiring process and improve candidate quality by coordinating technology innovations with organisational objectives. AI hiring facilitates developing and managing networks of committed workers that meet business requirements. The primary means of gathering information involved conducting focused group discussions. Content and thematic analyses were applied to responses from 21 focused groups comprising four to six managers each, targeted explicitly at HR Managers in various organisations. The study sourced data primarily from Pune city in India. The derived conclusions result from a comprehensive examination of existing literature and engaging in focused group discussions with HR Managers. This research paper presents a comprehensive Agile-AI Referral Optimization Framework (AROF) for implementing and advancing AI-based employee referral systems. In a rapidly evolving employment landscape, this conceptual framework is a practical guide for organisations seeking to leverage AI, optimise recruitment outcomes, and foster a positive work environment conducive to sustained success.