The study is devoted to the development of an architecture of digital platforms designed to support multi-project management in construction companies. The research examines the principles of building an integrated system that combines ERP, PPM, CRM, BIM, and Data Analytics modules into a unified information space. This approach aims to improve the efficiency of coordination between multiple projects within a portfolio and ensure the alignment of processes related to resource, financial, risk, and quality management. Special attention is given to the formation of a digital ecosystem capable not only of reflecting the current state of projects but also of forecasting deviations and optimizing managerial decisions in real time. The proposed factor-structural model introduces the use of an information-analytical integration coefficient, which makes it possible to assess the effectiveness of interaction between different digital modules. The study enhances the algorithmic framework for multi-criteria optimization based on Pareto-front methods, evolutionary algorithms (such as NSGA-II), and an adaptive system of weight coefficients. This enables balancing key indicators – cost, duration, quality, risk, and labor load – within a unified management circuit. The developed structural and algorithmic model demonstrates the interaction between digital platforms, analytical modules, and organizational mechanisms that support the stable functioning of a multi-project environment. It is shown that the integration of digital tools within a single architecture increases the accuracy of planning, reduces the risks of information gaps, and ensures transparency in managerial processes.