In contemporary business settings, artificial intelligence (AI) has emerged as a game-changing technology that helps firms enhance decision-making, operational effectiveness, and overall corporate performance. Using a structured dataset that contains characteristics like industry type, firm size, AI adoption level, utilisation areas, productivity change, and enterprise performance score, this study examines how AI adoption affects enterprise management. The goal of the study is to comprehend how AI integration affects decision-making speed, operational cost reduction, and organisational productivity. Analytical methods and data preprocessing are used to look for trends between enterprise performance metrics and AI adoption parameters. The results show that businesses that use AI more extensively exhibit increased output, quicker decision-making, and better overall performance. The findings also emphasise how crucial employee training and strategic AI integration are to optimising the advantages of AI technologies. This study shows the potential of machine learning techniques in enterprise-level data analysis and offers insightful information for companies looking to implement AI-driven management methods.
Mahesh et al. (2026) studied this question.