Project management with artificial intelligence tools in the construction industry: a systematic review from design to commission

Abstract

This dissertation investigates the utilization of Artificial Intelligence (AI) tools in project management within the construction industry, covering the entire project life cycle from design to commissioning. The construction sector faces numerous challenges, including complex risk landscapes, cost overruns, and project delays. Traditional project management techniques often prove inadequate in addressing these multifaceted issues. This study aims to conduct a systematic review of AI- driven technologies—such as predictive analytics, real-time monitoring systems, and decision support tools—and their application in enhancing project management practices across various stages. By synthesizing existing literature, case studies, and empirical evidence, this research will provide a comprehensive understanding of AI's transformative potential in construction project management. The findings will offer actionable insights for industry practitioners and contribute to the broader academic discussion on innovative management strategies, ultimately fostering more efficient, cost-effective, and safer construction projects.