Research on the Optimization of University Financial Management Models Empowered by Artificial Intelligence

Abstract

Against the backdrop of the modernization of university governance, the digital transformation of education, and the continued development of smart campuses, financial management in higher education institutions is shifting from a traditional accounting- and support-oriented model toward one that is more intelligent, collaborative, and governance-oriented. However, in practice, university financial management still faces a number of challenges, including insufficient system coordination, cumbersome operational processes, limited data utilization capacity, and increasing pressure in risk prevention and control, all of which constrain further improvements in financial management effectiveness. Based on an examination of the current development status and major challenges of university financial management, this paper analyzes the mechanisms and practical significance of AI empowerment in this field, arguing that artificial intelligence can play an important role in improving operational efficiency, strengthening decision-support capacity, and enhancing risk prevention and control. On this basis, the paper further identifies the objectives and key directions for optimizing university financial management models under AI empowerment, emphasizing the transition of financial management from traditional transactional processing to modern governance support. It also proposes implementation paths from the perspectives of data governance, platform development, and process reengineering, while outlining supporting mechanisms in terms of institutional regulation, interdepartmental coordination, and evaluation and feedback. The study concludes that AI-empowered financial management should be integrated into the overall digital governance framework of universities, and that sustained improvements in financial governance capacity and management performance can be achieved only through the coordinated advancement of technological application, process optimization, and institutional innovation.