The subject of this study is the process of developing a digital management infrastructure for construction enterprises using Building Information Modeling (BIM) technologies. The research covers theoretical, technical, and organizational–economic aspects of implementing BIM as the central element of an enterprise’s digital architecture. The main focus is on creating an integrated management environment in which all processes—from design to operation—are unified through a single information platform. The study addresses issues of forming information circuits, integrating BIM with ERP, CRM, SCM, and Business Intelligence systems, as well as defining performance indicators for digital data synchronization. The subject also includes assessing BIM’s impact on the organizational structure, economic stability, productivity, and adaptability of construction enterprises under conditions of digital transformation in the industry.The purpose of this article is to substantiate the scientific and methodological foundations for building a digital management infrastructure for construction enterprises based on BIM modeling. The author aims to develop a model for integrating information flows that ensures end–to–end control over design, resource planning, project execution, and performance monitoring processes. The primary goal is to establish a theoretical basis for transitioning from fragmented management systems to a holistic digital architecture that enhances planning accuracy, operational transparency, and decision–making effectiveness in real time.Research Methodology. The methodological framework of the study is based on system and information–architectural approaches, which make it possible to view BIM as the core of a managerial ecosystem. Structural analysis methods were used to model relationships between digital modules, analytical comparison was applied to assess the efficiency of BIM compared to traditional management tools, and simulation modeling was used to analyze the reactivity of the digital infrastructure to external influences.Formalized analytical indicators (ICVI, ROIBIM, DCM, USI) were applied to measure information value growth, economic return, and the degree of digital consistency between systems. To forecast implementation efficiency, scenario analysis, multi–agent modeling, and data processing in ERP and BI environments were employed. Elements of the Lean Construction and Digital Twin concepts were also used to define self–regulation mechanisms of the digital management system. The methodology assumes multi–level integration of technical, economic, and managerial factors, ensuring the comprehensiveness and practical value of the research.Research Results. The study resulted in the development of an architectural model for a digital management infrastructure for construction enterprises with BIM as its core. The model divides the system into several information circuits—geometric (3D/4D), economic (5D), managerial (ERP, CRM, SCM), and analytical (BI, IoT, Digital Twin). For each circuit, integration parameters, data exchange algorithms, and key performance indicators were defined. Formulas were developed for quantitatively measuring the degree of digital consistency, system responsiveness, and risk–adjusted project cost. The findings indicate that implementing BIM modeling increases management productivity by 15–25%, reduces unproductive expenses by 10–20%, and shortens project implementation time by an average of 12–18%. The proposed model enables the creation of a «smart enterprise» in which decisions are made based on data rather than intuition, and digital infrastructure becomes a strategic asset of the company.Conclusions. Building a digital management infrastructure for construction enterprises based on BIM modeling is a crucial stage in the industry’s transition to the era of integrated digital management. BIM serves not only as a visualization tool but as a comprehensive analytical core that ensures the coordination of technical, economic, and organizational processes in real time. The integration of BIM with ERP, CRM, SCM, and BI systems creates a unified management ecosystem in which information circulates continuously, and managerial decisions are based on up–to–date data. The developed analytical indicators—ICVI, ROIBIM, and DCM—allow for the quantitative assessment of efficiency gains, levels of digital synchronization, and the economic return from implementing the model. The incorporation of IoT, artificial intelligence, and Big Data platforms enhances the analytical capabilities of the system, enabling risk forecasting, resource optimization, and adaptation to external changes. Ultimately, building a digital management architecture based on BIM promotes a shift from reactive to proactive management, reduces destabilization risks, improves planning accuracy, and strengthens the competitive advantages of construction enterprises in the global market.