Construction of Telecom's Smart Financial Management System from the Perspective of Artificial Intelligence

With the rapid development of artificial intelligence(AI), more and more people begin to pay attention to the impact of AI on our work and life. At the same time, issues such as corporate financial management systems(FMS) and management and control capabilities have become increasingly prominent, and building a smart corporate FMS has become more and more important. Financial management is also a relatively important part of the entire enterprise management. From the current Telecom enterprise, there are problems in these aspects. The financial management lacks advanced management concepts, and the financial functions cannot reach the overall control level of the enterprise and the financial department. Collaboration with other departments of the enterprise is not in place. And in the current financial work, AI technology also has certain applications, such as AI financial robots, which will handle many repetitive, standardized, and procedural financial tasks more accurately and quickly. This article adopts the questionnaire method and experimental analysis method to analyze and research the construction of Telecom's smart FMS from the perspective of AI, learn about the existing problems in the FMS of the surveyed company, and analyze the interviewee's The attitude of the necessity of a smart FMS. According to the survey results, both M branch company and G branch company have corresponding problems in the FMS. Among them, financial information construction problems and financial accounting system problems account for a large proportion. A total of 30 of the 50 interviewees think it is necessary to build a smart FMS. Therefore, this is also worth arousing deep thinking by Telecom companies, building a smart FMS for enterprises in the field of AI, making full use of the advantages of AI technology, continuously optimizing the allocation of financial resources, and maximizing Telecom's corporate management income. Continuously improve the competitiveness of enterprises.