International Journal of Information Systems and Project Management | 2026
Authors: Saihi A.
DOI: 10.12821/ijispm140204
Journal: International Journal of Information Systems and Project Management
Year: 2026
Publisher: Universidade do Minho
Document Type: Article
Open Access: All Open Access; Gold Open Access; Green Open Access
Cited by: 0
Artificial Intelligence (AI) has emerged as a transformative force in project risk management (PRM), transitioning traditional methods into dynamic, proactive frameworks capable of addressing modern project complexities. This evolution enables PRM to align more effectively with strategic goals while addressing uncertainties across diverse industries. Despite its promise, AI adoption in PRM varies significantly across sectors, presenting gaps in application and understanding. This study explores AI's role in enhancing PRM, focusing on its impact on risk management elements, emerging trends, and real-world applications. Using a qualitative and evidence-based methodology, the research integrates insights from academic literature, industry reports, and consulting publications, supplemented by case studies of leading organizations. Findings reveal substantial advancements in PRM through AI, highlighting improved decision-making, operational efficiency, and enhanced resilience. Case studies from Siemens, JPMorgan Chase, and Turner Construction demonstrate AI's effectiveness in tackling challenges, optimizing processes, and achieving objectives. This study expands academic discourse on AI adoption in PRM and provides actionable insights for organizations, offering guidance to overcome barriers and maximize technological investments. © IJISPM
artificial intelligence; case studies; evidence-based analysis; project risk management; risk mitigation