Artificial intelligence (AI) has ushered in a new era of technology, transforming numerous industries and fundamentally altering how businesses operate. AI tremendously affects organizational management and management decision-making processes because of its exceptional ability to process massive volumes of data, identify trends, and make wise conclusions. Using AI in business operations has become a critical strategic concern as organizations strive to be efficient and competitive (Davenport, 2018). The research aimed to investigate the effects of AI in executive decision-making and company operations and provide insights into the possible effects of this immersive technology on organizational success. The revolutionary power and consequences of AI for organizational success served as the anchor for conducting this research. Specifically, it sought to identify which AI tools are used for effective and efficient operational decision-making; to determine the effects of AI tools on managerial decision-making; and to evaluate the impact of AI tools on competitive advantages, cost savings, and operational effectiveness. An overview of related literature covers AI technologies like computer vision, natural language processing, and machine learning. The study uses a mixed-methods study strategy to collect qualitative and quantitative data. Semi-structured interviews are administered and analyzed. Online surveys are created, and selected respondents are given links. Executives at the managerial and operational levels are subjected to either in-person or online interviews. Statistical techniques like regression analysis, ANOVA, and descriptive and inferential statistics, including t-tests, are applied to analyze the quantitative replies. Thematic analysis is employed to interpret the qualitative part of the study.