Automation of SAP ERP Processes Using Agentic Bots and UiPath Framework

Abstract

This research focuses on an automation approach to implementing SAP ERP processes with the help of agentic bots created in the UiPath RPA platform. As enterprise resource planning systems become increasingly complex, manual processes using SAP from the modules becomes more time-consuming, increases errors, and results in highly detailed operational workflows. Using appropriate intelligent, event-driven agentic bots, and combining them with automation functionalities of UiPath, this research exhibits remarkable efficiency improvements in finance, purchasing, and human resource SAP modules. The method used was partitioning of the SAP domain into set SAP tasks that can be automated using reusable automation patterns with the support of custom bots, then measuring how fast the bots could execute the tasks compared to doing them manually. Experiments indicate that the bots were able to perform tasks with up to 72% less execution time, while also displaying more precise results and better handling of exceptions. In addition, the paper looks at scalability, organizational acceptance, and post-deployment results with different business situations. These results highlight the cognitive automation paradigm on enterprise systems as well as suggest a base model for transforming SAP systems based on RPA technology.