Author(s)

Lyuchao Dong ¹

Affiliation(s)

¹ Shanghai Youzuo Information Technology Co., Ltd., Shanghai, 201400, China

Corresponding Author

Lyuchao Dong

ABSTRACT

With the continuous increase in corporate financial data, relying solely on manual analysis and judgement falls far short of meeting enterprises' requirements for financial risk early warning and prevention. The application of artificial intelligence technology can enhance the efficiency of financial data processing, enable the timely identification of existing financial risks, achieve early warning of corporate financial risks, and provide countermeasures for risk prevention and control through decision-making recommendations. Consequently, this paper examines how artificial intelligence technology can be employed to achieve corporate financial risk prevention and control objectives, presenting corresponding countermeasures.

KEYWORDS

Artificial Intelligence; Corporate Financial Risk; Risk Prevention and Control

CITE THIS PAPER

Lyuchao Dong, Exploration of Application Strategies of Artificial Intelligence Technology in Enterprise Financial Risk Control. Information Systems and Economics (2025) Vol. 6: 150-157. DOI: http://dx.doi.org/10.23977/infse.2025.060219.

REFERENCES

[1] Zhang Xiuzhen. How to Effectively Prevent and Control Corporate Financial Risks in the Context of the Digital Economy [J]. China Business World, 2024(7):187-189.
[2] Li Jingming, Huang Jincheng. Research on the Impact of Digital Transformation on Financial Risks in Listed Companies [J]. Accounting and Finance Bulletin, 2023(6):36-39.
[3] Cha Jinlian. Research on Financial Risk Identification and Internal Control in Modern Seed Industry Enterprises [J]. Molecular Plant Breeding, 2025, 23(1):306-311. 

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