Artificial Intelligence in Project Management: Enhancing Decision-Making, Efficiency and Risk Management

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in project management, redefining traditional workflows and enhancing overall project outcomes. This study reviews and synthesizes findings from over 50 research papers to assess the impact of AI on various aspects of project management, including decision-making, resource optimization, risk management, and workflow automation. AI-powered tools such as predictive analytics, task automation platforms, and Natural Language Processing technologies have demonstrated significant potential in improving project efficiency, accuracy, and collaboration. By automating routine tasks, providing actionable insights through data-driven analytics, and enabling real-time communication, AI empowers project managers to make informed strategic decisions and address risks proactively. The findings also reveal critical challenges, including high implementation costs, integration complexities, ethical concerns, and the difficulty in processing unstructured data. Despite these limitations, the study highlights the substantial advantages of AI in reducing human error, enhancing resource allocation, and ensuring timely project completion. By synthesizing extensive literature, this research provides a comprehensive understanding of AI's transformative role in project management while offering practical insights into its adoption. It concludes that addressing the challenges of AI integration through ethical frameworks and thoughtful implementation strategies is essential to fully harness its potential in revolutionizing project management practices.