Methodological aspects of the transition to autonomous organizations in the service and asset management sectors

This article examines the methodological aspects of transitioning service and asset management organizations to an autonomous decision–making mode based on artificial intelligence, with a focus on real estate operations. The practical relevance of the topic follows from the expanding use of digital client/tenant communications, the growing operational scope of property portfolios, and the transaction costs associated with manual coordination of requests, repairs, occupancies, and payments. The paper proposes an integrated project framework that combines a digital twin of an organization, event–log–based process reconstruction, human–in–the–loop/human–over–the–loop supervision, and AI risk management logic into a single scheme for autonomization. This paper describes the requirements for a digital footprint, the architectural link between a «twin», agent modules, and supervisory loops, and the criteria for the admissibility of autonomous execution in service and asset management. To achieve this goal, a comparative analysis and analytical synthesis of publications on digital twins, Human–in–the–Loop approaches, trusted real estate valuation, and generative artificial intelligence practices in property management were employed. The article is intended for digital transformation leaders, owners of management companies, developers of artificial intelligence agents, and risk management specialists. 

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