With the continuous deepening of global economic integration, the complexity and uncertainty of the market environment have significantly increased, and all industries are facing unprecedented risks and challenges. In this context, building an efficient, precise, and adaptable risk management system has become the key to the steady development of enterprises. The rapid development of information technology, especially the breakthrough of artificial intelligence (AI) technology, has brought revolutionary changes to the field of enterprise risk management. This article innovatively proposes an enterprise risk management model based on AI technology, which deeply integrates advanced machine learning (ML) algorithms and big data analysis techniques. By deeply mining and analyzing massive historical data and real-time market information, the model can automatically identify potential risk sources, predict the probability of risk occurrence and the possible impact range, thereby providing scientific basis for enterprise decision-making. The experimental results show that compared to traditional risk management methods, this model exhibits significant advantages in risk identification speed, accuracy, and warning capability.