Research on the Financial Risk Intelligent Management and Control System of Listed Companies Based on Artificial Intelligence Technology
Year: 2026
Type: conference-paper
Abstract: This study establishes a closed-loop intelligent management and control system for the entire process of financial risk in listed companies, comprising the “data layer, technical layer, risk identification layer, risk response layer, and monitoring and optimization layer.” This system focuses on leveraging AI technology to empower financial risk management and control, integrating risk management and process reengineering theories. Taking Guolian Co., Ltd., a leading company in the B2B e-commerce industry, as a case study, this research validates the system's practical effectiveness in addressing pain points in traditional risk control, such as data silos and slow response times. Research indicates that this system enables the precise identification of financial risks, dynamic response and intelligent monitoring, and effectively enhances the efficiency and accuracy of risk Management and control. The results provide theoretical support and practical guidance for the intelligent management and control of financial risks in listed companies, thereby helping the B2B e-commerce industry achieve digital transformation in financial risk management.
Institution: Binzhou Polytechnic
Language: English
Subfield: Accounting
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W7213364622