Application of Artificial Intelligence Information Security Technology in the Construction of Enterprise Financial Shared Centers

This work intends to assist SMEs in clarifying financial and enterprise management ideas in the functional implementation of the smart Financial Shared Service (FSS) Center and pointing out a specific optimal implementation path. To begin, this paper examines the primary variables influencing the smart FSS Center's functional orientation as a result of corporate demand and technical advancement. Then, utilizing the Grey Clustering Trigonometric function model, the smart FSS Center-oriented function Evaluation Index System (EIS) is built, and the functional evaluation indexes are weighted and evaluated. Finally, the 0-1 Integer Programming (IP) model is used to create the smart FSS Center-oriented function optimization path. Entropy Weight Method (EWM) and Decision-Making Trial and Evaluation Laboratory are used to determine the weight connection (DEMATEL). The findings demonstrate that the suggested smart FSS-oriented functional EIS overcomes challenges for domestic SMEs in building the smart FSS Center with limited cost, time, and technology. It can encourage the use of intelligent technology and innovative development in domestic FSS Centers. The findings have significant reference and guiding relevance for the establishment of China's smart FSS Centers.