In response to the complex and diverse risks faced by Guizhou agricultural enterprises in international operations, as well as the generally weak internal risk management capabilities, a comprehensive risk identification, assessment, and early warning system construction research is carried out. By drawing on the theoretical framework of integrated risk management, the system identified key risk types at three levels: macro, meso, and micro. Furthermore, this study used factor analysis to comprehensively evaluate and rank various risks based on financial and non-financial indicators. On this basis, a dynamic warning system was constructed that includes information collection, risk monitoring, warning indicators, and response mechanisms. The research has achieved the integration of theory and practice, providing a scientific, systematic, and operable risk management solution for agricultural enterprises in Guizhou. The aim is to help them improve their risk prediction and prevention capabilities, providing guarantees for the stable and sustainable development of their international operations.