Artificial intelligence in the information support of corporate management: from a technological trend to a managerial paradigm

Анотація

The article investigates the role of artificial intelligence in the information support of corporate management under conditions of digital economic transformation and increasing complexity of the business environment. The subject of the study is the integration of artificial intelligence tools into decision-support information systems and the transformation of managerial approaches influenced by data-driven technologies. The purpose of the research is to substantiate the shift from perceiving artificial intelligence as a technological trend to understanding it as a managerial paradigm that shapes modern information support systems in corporate governance through Human-AI interaction. The methodological framework of the study is based on systemic and structural-functional approaches, comparative analysis, generalization of contemporary digital management concepts, and logical-analytical modeling of managerial processes. The research analyzes current approaches to applying artificial intelligence in corporate management and identifies the transformation of information support from a data-processing instrument to a key mechanism for managerial decision-making. The study proposes a conceptual differentiation of three Human-AI interaction models in corporate management systems – human-centered, hybrid, and AI-driven – reflecting different levels of artificial intelligence integration into managerial processes. Their structural characteristics, operational logic, stages of implementation, and sectoral applicability are defined depending on organizational digital maturity and the nature of managerial decisions. The research substantiates the possibility of simultaneous application of these models within a single corporation as elements of a multi-level information support architecture. The practical significance of the results lies in the potential applications of the proposed models for developing corporate digital strategies, improving decision-support systems, enhancing managerial adaptability, and reducing operational risks amid economic uncertainty. The findings may be applied in corporate practice, consulting activities, and educational programs in management and corporate governance. Keywords: Human-AI interaction, information support of management, corporate decision-making, digital management transformation, decision support systems, algorithmic management, corporate digital maturity.

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