The integration of Artificial Intelligence (AI) into decision-making processes is transforming the way organizations operate across various industries. This research explores the role of AI in enhancing decision-making quality, efficiency, and accuracy. By employing a mixed-methods approach, the study examines both the benefits and challenges associated with AI-driven decision-making. Primary data will be collected through interviews and surveys with industry professionals and AI experts, while secondary data will be sourced from existing literature and case studies. The findings are expected to highlight significant improvements in data analysis capabilities and decision-making speed due to AI, alongside identifying key challenges such as data privacy concerns, ethical considerations, and the dependency on high-quality data and computational resources. Additionally, the research will offer practical recommendations for organizations aiming to integrate AI into their decision-making processes effectively. These best practices will address both technical and ethical aspects, ensuring a balanced approach to AI implementation. The study aims to provide valuable insights for business leaders, policymakers, and academics, contributing to a deeper understanding of AI's impact on modern decision-making and offering guidance on navigating the complexities of AI integration.