At present, there are a large number of scenarios in the process of financial business processing in China, such as manual entry, data cleaning, data aggregation, multi system operation, etc. the process is cumbersome, the operation efficiency is low, and it is unable to quickly respond to business changes and expansion. The pressure on the annual festival and monthly settlement has increased sharply, resulting in a shortage of manpower. Repetitive, unbalanced, timely, waiting, and data handling process operations can be automated to allow procedures to replace artificial, reduce the waste of human resources, improve business processing efficiency, ensure the timely completion of daily work, reduce costs and increase efficiency for enterprises, and promote their digital transformation. This paper introduces the application of computer automation RPA in financial business, the operation principle and development of automation system, and looks forward to the future development direction.

Yi Qi. Application of Computer Aided Operation in Financial Business. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 6: 55-58. https://doi.org/10.25236/AJCIS.2022.050609.

[1] Qin Haibo, Cao Li, Ye Yixiu, Zhang Meng. Analysis of RPA Process Automation Technology [J]. Automation Technology and Application, 2022,41(05): 1-3+25.

[2] Tian Gaoliang, Chen Hu, Guo Yi, Xue Yuting. Research on the application of financial robots based on RPA technology [J]. Finance and Accounting Monthly, 2019(18): 10-14. DOI: 10.19641/j.cnki.42-1290/ f.2019.18.002..

[3] Liu Hong. Research on the application of process automation robots in financial sharing [J]. Economic Research Guide, 2022(12): 104-106.

[4] Cheng Ping, Liu Hongju. Optimization of account statement verification process of financial shared service center based on RPA [J]. Friends of Accounting, 2018(21): 145-149.

[5] Liu Zezhong. Application analysis of intelligent finance under the "RPA+AI" model [J]. Modern Business, 2021(04): 177-180. DOI: 10.14097/j.cnki.5392/2021.04.054.

[6] Sun Peng. Discussion on the application of OCR technology in the financial shared service center of construction enterprises [J]. Small and medium-sized enterprise management and technology (mid-term), 2021(02):169-171.

[7] Huang Chengfu. The impact and suggestions of big data on enterprise financial management [J]. Times Finance, 2022(05): 76-77+83.

[8] Fisher Ingrid E., Garnsey Margaret R., Hughes Mark E.. Natural Language Processing in Accounting, Auditing and Finance: A Synthesis of the Literature with a Roadmap for Future Research [J]. Intelligent Systems in Accounting, Finance and Management, 2016, 23(3)