The integration of digital technologies is revolutionising quality control (QC) practice in smart construction, offering innovative solutions to longstanding inefficiencies while presenting notable challenges. Through a comprehensive desktop review, this study critically examines the application of digital technologies in QC, focusing on technological advancements, impacts on project outcomes, barriers to adoption, and research gaps. The findings reveal that technologies such as Internet-of-Things (IoT)-enabled sensors, Artificial Intelligence (AI)-driven predictive analytics, blockchains, and digital twins significantly enhance precision, efficiency, and collaboration in construction workflows. These tools improve defect detection, resource optimisation, and transparency and establish new benchmarks for quality assurance. However, its widespread adoption has been hindered by high implementation costs, interoperability challenges, technical expertise shortages, and resistance to change. Additionally, gaps in scalability and the lack of empirical studies on long-term implications highlight the need for additional investigation and the establishment of standardised frameworks. This review provides actionable insights for researchers, practitioners, and policymakers, emphasising the importance of a collaborative and standardised approach to overcoming these challenges. By addressing these critical issues, this study advances the understanding of digital QC practices and contributes to the broader goals of improved performance, sustainability, and innovation in smart infrastructure development.