| With the rapid development of information technology such as artificial intelligence,all walks of life are undergoing profound changes,and the financial field has also entered an era of transforming from informatization to intelligentization.Although the machine only looks smart and does not really have the sense of autonomy under the current technical conditions,enterprises should plan in advance for their intelligent transformation,have in-depth understanding and bold attempts,and use new technology actively to improve the operation efficiency.In the current stage of weak AI,RPA has gradually been known by many companies due to its characteristics like lightweight,plug-in,and low investment,and has become one of the technologies that are more easily accepted and implemented by companies.Nowadays,more and more enterprises are achieving centralized financial management and the establishment of financial shared service Center.RPA technology is more suitable as an entry and breakthrough to promote the intelligent transformation of enterprises.At present,RPA can use AI components such as OCR,NLP and ASR to achieve preliminary recognition,language processing and other functions.In the future,it will combine more AI components to achieve deeper intelligence.With the popularization of various information systems,the automation level of enterprises has been greatly improved,but there are still many pain points.There are still many blind areas in automation among multiple heterogeneous systems.And data islands still exist.Repetitive and complicated operations still need to be completed manually.Therefore,RPA technology has become one of the practical technologies urgently needed by enterprises.RPA technology ranks fifth among the top ten information technology ranking affecting Chinese accountants published by Shanghai National Accounting Institute in 2020.However,as a new technology,RPA has begun to be applied to various business processes including financial services.Managers and employees of enterprises probably lack sufficient understanding about it.RPA technology itself may also have some defects and loopholes,which will cause some application risks to enterprises.Due to its high-volume and highfrequency mode of operation,once an error occurs,the impact will be more profound and the consequences will be more serious.Therefore,enterprises also need to comprehensively identify and rationally evaluate the potential risks,and establish an effective risk management system while concerning about its powerful functions and economic benefits.This thesis studies the potential risks of RPA used in financial field during the process of application.First,the common application risks of RPA in finance are identified by literature analysis method,field investigation method,case study method,experience summary method and other methods,,and a risk list containing 21 risks is obtained.Then,the importance of the identified risks is evaluated by AHP,and the risk levels are divided to get the key risk factors.Finally,corresponding risk control measures which need to be taken beforehand,halfway and afterward are put forward from the technical and management perspectives.At the same time,this thesis also takes the RPA project of H company as an example,evaluates the risk in the application of RPA according to the specific situation of the company,and puts forward corresponding control measures.The application and verification of the risk management system established in this thesis can prove its practicability and effectiveness.Although the deployment of RPA in enterprises is still in its stage of infancy and promotion,how to deal with the risks brought by RPA technology will receive more and more attention from enterprises as it's an important way for enterprises to make financial intelligence transformation.It is hoped that through the analysis of this thesis,it can provide some suggestions and references for the risk management of enterprises in the process of applying RPA in finance. |
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