Authors : John Selvaraj Arulappan

Volume/Issue : Volume 10 - 2025, Issue 1 - January

Google Scholar : https://tinyurl.com/2npjst2y

Scribd : https://tinyurl.com/4avctx88

DOI : https://doi.org/10.5281/zenodo.14792213

Abstract : The application of Artificial Intelligence (AI) in payroll systems is revolutionizing traditional workflows by enabling process discovery and automation. AI-driven tools analyze operational data to identify inefficiencies, uncover hidden patterns, and streamline payroll processes. Through intelligent automation, tasks such as payroll calculations, tax compliance, and error detection are executed with greater speed and accuracy, reducing manual interventions and associated costs. Advanced algorithms facilitate real-time monitoring and optimization, ensuring compliance with evolving regulations while enhancing system resilience against fraud and anomalies. This paper delves into the transformative role of AI in automating payroll workflows [1], showcasing how process discovery methodologies uncover bottlenecks and drive operational efficiency. Case studies are presented to highlight the measurable impacts of AI-powered automation on cost reduction, workforce productivity, and strategic decision-making. As organizations adapt to an AI-driven payroll landscape, the shift toward automated workflows signifies a new era of financial and operational excellence.

Keywords : AI in Payroll, Process Discovery, Workflow Automation, Payroll Management, Cost Efficiency, Operational Excellence, Anomaly Detection.

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