PROSPECTS FOR THE DEVELOPMENT OF MANAGEMENT DECISION-MAKING METHODS AND TOOLS IN ORGANIZATIONS BASED ON ARTIFICIAL INTELLIGENCE SYSTEMS

The article substantiates the strategic importance of implementing intelligent methods for supporting managerial decisions in Russian organizations in the 2025–2030 horizon. A comparative analysis shows that only 23% of domestic companies use ML solutions, compared to 37% of global companies, while predictive analytics can increase the accuracy of forecasts by 15-25%. Integrating Deep Learning and NLP can reduce document processing time by 60-80%, while using RL can increase OEE from the current 65% to 70-73% and reduce downtime by 10%. The level of trust in automated systems (42% vs. 68% in the OECD) and the low share of digital twins (5% vs. 23% in Germany) remain critical barriers. The author forms a "technology-management function" matrix and develops a set of visual methods (radar, heat, and span charts) for prioritizing AI solutions.