Leveraging Artificial Intelligence for Digital Transformation of Construction and Project Management Practices

Abstract

The construction and project management (CPM) sector is increasingly recognising the transformative potential of Artificial Intelligence (AI) to enhance efficiency, decision-making, and risk management. However, the industry faces significant challenges in adopting AI, including fragmented implementation approaches, workforce readiness gaps, and concerns related to governance and data security. This study develops a structured AI implementation strategy tailored for CPM by employing a Systematic Literature Review (SLR) methodology. Using a transparent and replicable review process to synthesise evidence from peer-reviewed articles, industry reports, and grey literature. The analysis highlights thematic dimensions such as application areas, impact on efficiency, cost, and time management, and the challenges of adoption, taking into consideration the governance and policy alignment, digital infrastructure, stakeholder engagement, workforce capacity, and ethical considerations. Based on these findings, the research proposes a comprehensive implementation strategy that integrates technical, organisational, and ethical perspectives. The contribution of this study lies in providing both scholars and practitioners with an evidence-based framework to guide AI integration in CPM, bridging the gap between theoretical discourse and industry practice, and fostering sustainable digital transformation in the sector.

Keywords: Artificial Intelligence, Construction, Implementation Strategy, Project Management, Systematic Literature Review.