AI-DRIVEN CORPORATE GOVERNANCE MODELS TO ENSURE THE SUSTAINABILITY AND PERFORMANCE OF ENTERPRISES IN THE DIGITAL ECONOMY

Abstract

The article examines the theoretical, methodological, and applied aspects of developing AI-oriented corporate governance models in the context of the digital transformation of the economy. The relevance of the study is обусловлена growing complexity of business processes, increasing uncertainty in the external environment, and the rapid expansion of corporate data volumes, which necessitate more adaptive and efficient governance mechanisms. Traditional corporate governance approaches often lack the flexibility and analytical capacity required to respond promptly to dynamic market conditions, thereby justifying the integration of artificial intelligence technologies into managerial decision-making. The study proposes a conceptual and mathematical framework for integrating analytical, predictive, managerial, control, and ESG-oriented subsystems into a unified digital governance architecture. The developed model enables centralized data collection and processing, intelligent forecasting of key performance indicators, multi-criteria optimization of strategic and operational decisions, automated performance monitoring, and the implementation of feedback-driven self-adaptation through machine learning algorithms. The results demonstrate that AI-oriented governance contributes to reducing information asymmetry, enhancing forecasting accuracy, optimizing resource allocation, improving risk identification, and increasing organizational adaptability to environmental changes. At the same time, the implementation of AI in corporate governance is associated with several challenges, including dependence on data quality, ethical and legal constraints, cybersecurity risks, and the limited transparency of algorithmic decision-making. The study highlights the importance of developing responsible AI governance practices, strengthening digital competencies, and implementing ethical standards for AI deployment. The proposed model offers practical value for and the integration of advanced AI solutions into strategic governance processes.