Research on Optimization of Enterprise Compliance Management System Based on Artificial Intelligence

This paper explores the optimization design and implementation of corporate compliance management systems, proposing a compliance management solution based on intelligent technologies. By constructing a system framework integrating data collection, risk assessment, and intelligent decision-making, the efficiency and accuracy of compliance management are improved. Experiments conducted with a multinational corporation as the test subject demonstrate that the system outperforms traditional methods in risk prediction accuracy, data processing speed, and cost control. The research shows that intelligent technologies can effectively optimize the compliance management process, significantly reducing corporate violation risks and management costs.