The paper examines the profound influence of Artificial Intelligence (AI) on business management. Artificial intelligence imitates human cognitive abilities, including observation, problem-solving, learning, and decision-making. This allows machines, algorithms to carry out activities with intelligence that resembles that of humans. The research emphasizes the capacity of AI to evaluate vast information, detect patterns, and autonomously make judgments, hence improving productivity, and efficiency utilizing secondary research from relevant publications to the topic by international researchers. AI approaches such as machine learning, Natural Language Processing (NLP), deep learning, and neural networks are widely used in sectors like manufacturing, finance, and health care. AI in business management streamlines repetitive operations, enhances operational effectiveness, diminishes expenses, and mitigates human fallibility. AI-based analytics offer essential insights for strategic planning, while AI-driven customization improves client relations. Nevertheless, it is imperative to solve difficulties such as ensuring the accuracy and reliability of data, enhancing the openness of models, considering ethical implications, and seamlessly integrating AI systems into current processes. In this article, we discuss ways to enable companies to make the most of AI's business management potential. The result of the research demonstrated that AI automates commonplace duties, minimizing human error and manual labor requirements-significant cost savings and enhanced operational efficacy result from this automation. Furthermore, data analytics powered by artificial intelligence reveal patterns and trends within enormous datasets, whereby furnishing crucial insights that guide strategic planning and decision-making.