AI-Driven Business Resilience Frameworks for Digital Economies

  • Authors

    • Dr. Anita Verma Associate Professor, Banaras Hindu University, India. Author

    DOI:

    https://doi.org/10.67228/30713315/IJAIDT-2025PI7W9F

    Published 06-05-2025

  • Artificial Intelligence, Business Resilience, Digital Economy, Machine Learning, Risk Management, Predictive Analytics, Digital Transformation, Adaptive Systems, Enterprise Resilience, Intelligent Decision Support

    Issue

    Vol. 8 No. 1 (2025)

    Section

    Articles

  • Abstract

    Digital economies face increasing risks from cyber threats, operational disruptions, and market uncertainties. Traditional resilience approaches are often reactive and insufficient for dynamic environments. This paper proposes an AI-Driven Business Resilience Framework (AIBRF) that integrates data acquisition, AI analytics, risk prediction, adaptive decision-making, resilience orchestration, and continuous learning. By leveraging machine learning, predictive analytics, and intelligent automation, the framework enables proactive risk management and real-time adaptation. Experimental results demonstrate improvements in risk detection, recovery time, decision-making efficiency, resource utilization, and business continuity. The proposed framework provides a scalable and intelligent approach for enhancing organizational resilience in digital economies, while future enhancements may incorporate generative AI, federated learning, explainable AI, and blockchain technologies.

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