Digital transformation of real estate management processes using artificial intelligence technologies

This article examines the digital transformation of management processes in the real estate sector through artificial intelligence, digital platforms, digital twins, and process analytics. This topic is relevant due to the growing transactional complexity of the market, the increased need for decision traceability, and the increased risks associated with integrating intelligent models into corporate systems. The scientific novelty lies in the unification of three lines of analysis: customer cycle and sales management through CRM and platform mechanisms; asset lifecycle management through BIM models and digital twins of engineering systems; and the management controllability of autonomy through digital traceability, logging, and modes of human participation in the verification of critical actions. The objective of this article is to substantiate a practical framework for transitioning to a "digital twin of the company," in which every communication and management decision is recorded in data and is accessible for audit. To achieve this goal, a comparative analysis of approaches, analytical synthesis, structuring practices by stages of the management cycle, and interpreting case studies and safety requirements was used. The article concludes with conclusions on the limits of autonomy and the conditions for transitioning to a human-in-the-loop model. This article is intended for development managers, management companies, and PropTech teams.