Enhancing ERP Efficiency: Optimizing Peoplesoft Financial Workflows with Robotic Process Automation (RPA)

Abstract

Robotic Process Automation (RPA) has become an essential way to streamline the work processes in the people soft financials in the perception that organizations are under pressure to speed up financial activities, combine expenses, and comply with strict legislative regulations. This review assesses the use of RPA as a way of automating rule-based, process-monotonous operations in PeopleSoft financials modules in terms of efficiency, cost, accuracy, and compliance results. The empirical data shows that RPA can decrease the average processing time by up to 50-65 per cent; decrease the error rates of a given process by up to 70 per cent; decrease operation costs by up to 40-55 per cent and increase the compliance levels by up to 30 per cent in relation to the traditional workflows. The difficulties that remain unaddressed and that the article identifies as challenges pertain to scalability, orchestration, and adaptive automation requirements, whereas future research directions include using AI to optimize processes, predictive anomaly detection, and integration into advanced auditing tools. This review captured the findings of the industry benchmarks and case studies and assisted interested organizations in providing a guide that will maximize the usefulness and productivity of RPA in improving the functionality and dependability of the PeopleSoft financial activities, enabling the concerned organizations to stand to gain quantifiable ROIs and operational flexibility.