ISSN: A/F

Revolutionizing Decision-Making: AI-Powered Tools for Modern Management (P1-P1)

Abstract

It addresses the transformational impact that AI-based tools have been having on managerial decision making in contemporary organizations. In this research, a qualitative methodology was used to establish a deeper understanding of a case study, interviews, and additional data sources-including industry reports and testimonies from experts. Overall, it was found to have great improvements in data analysis efficiency, prediction accuracy, and speed and quality of decision making, evidencing that AI can radically transform the traditional management functions. However, integration barriers, ethical considerations, and the need for continuous updates of the model are also critical areas that require focus. The study highlights robust ethical frameworks and adaptive AI systems to ensure responsible and effective AI implementation. In this regard, these results will add more depth into understanding the role of AI in management and provide an excellent insight for both research and practical application. Future studies should include varied industry settings and aim at the further development of ethical guidelines and adaptive AI technologies to improve the generalizability and applicability of these results.

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How to Cite

Dorota Jelonek, Narendra Kumar, (2025/6/30). Revolutionizing Decision-Making: AI-Powered Tools for Modern Management. Abhi International Journal of Artificial Intelligence Applications in Management, Volume 2rL1BKWe1omPbQDViZjY, Issue 1.