| Artificial intelligence technology has gradually penetrated into the field of finance through continuous iterations,bringing profound changes to enterprise financial management.in March 2022,the State-owned Assets Supervision and Administration Commission of the State Council issued the Guidance on Accelerating the Construction of a World-Class Financial Management System for Central Enterprises,which clearly puts forward the need to promote the transformation of finance to intelligence.With the development of economic globalization,the financial sharing service model is widely used in many multinational conglomerates.How to give full play to the role of financial sharing centers and better reduce costs and increase efficiency for enterprises is the current challenge faced by many enterprises.In the context of Information Technology,how to optimize the financial sharing center of group enterprises by using the fast-developing emerging technologies has become the focus of attention.Taking Group A as an example,this paper focuses on the basic question of "How to optimize the business process of the financial sharing center with the perspective of artificial intelligence It compares relevant theoretical research results at home and abroad,summarizes relevant theories,and explains the overall framework and scope of business processes of Group A’s financial sharing center.By analyzing the current situation and problems of three key business processes,namely expense reimbursement,general ledger management and payable management,which are highly adaptable to AI technology in Group A’s financial shared center,the study combines RPA,OCR,NLP,machine learning and other AI technologies to optimize the design,mainly involving: applying electronic invoices and NLP technology to voice intelligent order filling,adopting OCR intelligent invoice recognition and credit rating,using machine learning technology to complete intelligent auditing of documents,automating report information with RPA preset program,intelligent management of supplier master data,human-machine collaborative invoice management and automatic three-sheet matching,as well as explaining the effects expected to be achieved by the optimization of the three processes.In order to guarantee the smooth implementation of the optimization program,four safeguards are proposed to strengthen the maintenance of software and hardware tools,cultivate the database management system,optimize the allocation of practitioners and strengthen the R&D information platform.Optimizing the business process of Group A’s financial sharing center through artificial intelligence technology helps solve the problems arising from the expense reimbursement,general ledger management,and payable management processes,and promotes the group’s achievement of cost reduction and efficiency increase,while providing new ideas for Chinese enterprises to optimize the business process of the financial sharing center. |