The Impact of Large Language Models on Financial Shared Service Centers

Abstract

Using a case study approach, two representative companies, Henkel and Shanghai GFC Consulting, are examined for their application of the large model in their financial shared service centers. By analyzing the impact of two AI applications, Henkel’s SMART AR and Shanghai GFC Consulting’s G-smart, in the real world, the positive and significant impact of the emergence of large model AI applications on financial shared service centers is further analyzed. The feasibility of large-scale use of AI applications of large models in financial shared service centers can be found, and the rise of large language models has triggered a new round of financial changes in financial shared service centers, realizing the mutual empowerment of financial shared service centers and large language models. It brings many benefits to enterprise groups, such as reducing operating costs, improving operational efficiency, strengthening group control and improving service quality.