Optimizing Employee Engagement and Retention in the Banking Sector using AI-Driven Strategies

This study explores Optimizing Employee Engagement and Retention in the Banking Sector using AI Driven Strategies. The research aims to identify the key factors influencing employee perception and satisfaction, retention such as convenience, policies, gains etc.. A survey was conducted with a sample of 50 employee across different age groups, income levels, and professions. Data collected through structured questionnaire and the study is descriptive and an analytical type of research in nature and is based on both Primary and Secondary Data. Simple Random Sampling Technique has been adopted to select the sample respondents. Simple statistical tools like Percentages and Averages were used to analyse the data. The banking sector faces significant challenges in maintaining high levels of employee engagement and retention due to dynamic work environments and rising employee expectations. Artificial Intelligence (AI) has emerged as a transformative tool to address these issues, offering data-driven insights and personalized interventions. This paper explores how AI-driven strategies enhance employee engagement, predict turnover risks, and create more fulfilling workplace experiences. By reviewing existing literature, the study identifies key AI applications, challenges, and best practices to improve workforce satisfaction and organizational performance in the banking sector.