From Intuition to Intelligence: Examining the Role of AI in Shaping Decision Making in the Business World

Artificial Intelligence (AI), Business Decision-Making, AI-Driven Analytics, Adoption in Organizations, Strategic Business Planning, Machine Learning in Business, AI Governance and Ethics, Transparency and Interpretability in AI, Human-AI Collaboration, AI in Corporate Strategy, Data-Driven Decision-Making, Automation and Digital Transformation, Challenges in AI Implementation, AI-Enhanced Business Intelligence, Responsible AI Deployment

The integration of Artificial Intelligence (AI) into business decision-making processes has redefined operational efficiencies, strategic planning, and competitive positioning. This study critically examines the role of AI in augmenting decision-making within organizations, emphasizing its capacity to enhance analytical precision, optimize resource allocation, and drive innovation. While AI offers transformative potential, its adoption is impeded by challenges related to transparency, interpretability, and ethical governance. Through a systematic literature review and quantitative analysis, this research explores the impact of AI on business intelligence, identifies barriers to its implementation, and proposes strategies for responsible adoption. The findings underscore the necessity of a synergistic approach wherein AI complements human judgment rather than supplanting it, fostering a collaborative framework that balances technological advancements with ethical considerations. This study contributes to the growing discourse on AI governance, providing insights into best practices for leveraging AI in business decision-making while ensuring accountability, fairness, and trust.