Smart Payroll: Harnessing AI and ML for Efficient Payroll Systems

Smart Payroll: Harnessing AI and ML for Efficient Payroll Systems explores the intersection of intelligent technologies and payroll management in modern enterprises. This comprehensive guide delves into how Artificial Intelligence and Machine Learning are streamlining payroll functions—from salary predictions and automated tax compliance to chatbot-driven employee support and predictive analytics. Designed for HR professionals, data scientists, payroll administrators, and business leaders, the book presents core concepts, key algorithms, and real-world case studies. Readers will gain a clear understanding of how smart payroll systems can minimize human error, improve compliance, enhance employee experience, and support strategic decision-making.
The book covers critical topics including algorithmic salary forecasting, attendance tracking, anomaly detection in payroll data, and integration with enterprise systems. Tools like Python, TensorFlow, and Scikit-learn are introduced for hands-on learners, along with overviews of industry-leading platforms such as Gusto, ADP, and Workday. By focusing on both technical depth and business relevance, this book bridges the gap between theory and practical application. It serves as a roadmap for organizations seeking to modernize their payroll operations through AI/ML, and for learners aiming to stay ahead in the rapidly evolving HR tech landscape.