Intelligent AI within a Metamodel Control System for Financial Crisis Management System

In an effort to revolutionize the detection, management, and prevention of financial crises, this study investigates the use of Intelligent AI inside a Metamodel Control System for Crisis Management. Data collection and preprocessing, metamodeling, real-time monitoring and alerting, case studies, simulations, optimization, regulatory compliance, and ethical concerns are all part of the study's approach. The results show the strong performance of the metamodel, with high values for accuracy, precision, recall, and F1-score. Consistent with the concepts of adaptive control, real-time monitoring and alerting provide instantaneous early warnings of potential crises. The framework has been shown by case studies to be consistent with conventional economic models. The framework's potential to promote financial resilience and the educated decision-making process is underlined. Real-world applications, cutting-edge AI methods, ethical issues, and global cooperation are all potential next steps. More stable and prosperous economic futures are within reach, according to the insights gained from this study on the role technology plays in financial resilience.