This article examines the impact of artificial intelligence (AI) on the speed and quality of decision-making in management processes. The key factors determining the effectiveness of using AI are analyzed, including the volume and quality of data, the complexity of models, computing resources, and the level of technology integration. Statistical data on the introduction of AI in global practice are presented: only 38% of companies are fully prepared for the effective use of AI, whereas in Russia this figure is 22%. The main obstacles are data quality (60% of global companies face problems, 75% in Russia) and lack of computing resources (35% of organizations in the world have the necessary infrastructure, 19% in Russia). The conclusions of the article emphasize the need to invest in digital infrastructure and increase the transparency of algorithms to increase confidence in AI solutions.

Keywords: artificial intelligence, decision-making, automation, digital transformation, data, interpretability, computing resources

The article proposes a model of a qualitative environmental assessment of the building's life cycle in the form of a three-dimensional matrix depending on the construction phase, resources used and criteria for sustainable construction. The concept of deconstruction, which includes the basic principles of sustainable construction, is considered. It is concluded that with the help of information modeling, it is possible to design alternative options for buildings with expired life and to carry out more effective management of the building life cycle based on the proposed model of qualitative environmental assessment.

Keywords: Building Information Modelling (BIM), principles of sustainable construction, environmental life cycle assessment, deconstruction