Integrated Lean–BIM–AI Frameworks for Construction Quality and Sustainable Performance: A Systematic Review

Digital transformation, increasing project complexity, and sustainability requirements are driving the adoption of advanced construction management approaches. However, evidence regarding the integrated application of Lean Construction, Building Information Modeling (BIM), and Artificial Intelligence (AI), particularly for improving construction quality within Construction 4.0 environments, remains fragmented. This study presents a PRISMA 2020-based systematic review of 163 peer-reviewed studies published from 2020 to 2025 to synthesize current evidence on the integration of Lean Construction with BIM- and AI-enabled construction management. A thematic synthesis and comparative analysis were conducted to examine the interactions among Lean planning, BIM-enabled coordination, and AI-supported predictive analytics. Supporting technologies, including digital QA/QC systems, IoT-enabled monitoring, and digital twin applications, were included only when they facilitated integrated Lean–BIM–AI implementation. The reviewed studies suggest that integrating Lean Construction with BIM and AI can enhance workflow coordination, defect management, schedule reliability, risk prediction, and real-time quality monitoring. Several studies also reported potential reductions in rework, material waste, and resource consumption, indicating possible contributions to more sustainable construction practices. However, reported outcomes varied across studies and were influenced by organizational readiness, workforce capability, digital maturity, interoperability, and project context. Moreover, much of the available evidence is derived from case studies, pilot implementations, simulation-based investigations, and conceptual research, whereas large-scale industrial validation remains limited. Unlike previous reviews that examined Lean Construction, BIM, or AI independently, this study synthesizes their complementary roles within an integrated construction management framework and identifies the conditions under which their combined application may contribute to improved construction quality and Construction 4.0 implementation. The review highlights current research gaps and provides evidence-based guidance for future research, industrial implementation, and the adoption of integrated digital construction management practices.