Automatic approval method for financial reimbursement of electric power enterprises based on RPA robot

In order to effectively solve the problems of large audit errors and low operation efficiency in current enterprise financial reimbursement audit methods, based on RPA robot, the automatic financial reimbursement audit method is optimized. Combined with numerical probability algorithm, a large number of financial reimbursement data are reasonably classified, and the classified data is transmitted to the financial project configuration module for approval. This paper optimizes the safety evaluation process of financial audit, checks the accuracy of audit processing structure, and achieves the design goal of optimizing the operation effect and accuracy of financial automatic reimbursement audit. The experimental results show that the error rate of financial audit based on RPA robot is significantly lower than that of the traditional method, and the operation efficiency of the method is significantly higher than that of the traditional method.