AI driving payroll management systems: A multi-case study analysis

This research explores how Artificial Intelligence (AI) technologies are transforming payroll management systems through a structured multi-case study analysis. Rather than merely summarizing prior studies, it synthesizes insights from ten carefully selected case studies to evaluate the benefits, challenges, and strategic implications of AI-driven payroll systems. The results reveal that AI significantly enhances automation, accuracy, and compliance, while also improving data security through advanced tools such as machine learning, robotic process automation (RPA), and blockchain integration. Nevertheless, challenges including high costs, regulatory complexity, and ethical concerns remain substantial. By presenting a comparative framework that merges academic and practical perspectives, this study contributes to both scholarly discourse and industry application, offering concrete strategies for organizations seeking to implement AI responsibly and effectively in payroll management.