The provided text explores how artificial intelligence and machine learning are revolutionizing the way organizations identify and prevent internal payroll fraud. Traditional manual reviews often fail to catch subtle irregularities like ghost employees or inflated hours, which can result in significant financial losses over time. By establishing a baseline of normal behavioral patterns, AI tools can continuously monitor massive datasets to flag anomalies in real-time. This proactive approach shifts the focus from backward-looking audits to immediate risk management, allowing teams to address suspicious activity before it persists through multiple pay cycles. Ultimately, layering AI onto existing systems enhances security and accuracy without disrupting the speed of essential payroll operations.