BIM offers a comprehensive platform for planning, designing, constructing, and managing buildings by providing detailed digital representations of physical and functional characteristics. IoT devices contribute by collecting real-time data on various building parameters, such as energy consumption, structural health, and environmental conditions. AI algorithms analyze this data to predict maintenance needs, optimize energy use, and enhance overall building performance. This integration facilitates a proactive approach to infrastructure management, shifting from reactive maintenance to predictive and preventive strategies. It enables stakeholders to make informed decisions based on accurate, up-to-date information, reducing operational costs, minimizing downtime, and extending the lifespan of building components. Additionally, the paper discusses the benefits of these technologies in enhancing sustainability by improving energy efficiency and reducing the carbon footprint of buildings. The paper also addresses the challenges associated with implementing these technologies, including the need for skilled personnel, the high initial costs, and concerns about data security and privacy. Solutions and recommendations for overcoming these challenges are provided to guide policymakers, engineers, and facility managers in adopting these advanced tools effectively. In conclusion, the paper underscores the importance of leveraging BIM, IoT, and AI to enhance decision-making and management of civil infrastructure in buildings, ultimately contributing to safer, more efficient, and sustainable built environments.