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Today, management faces problems associated with a significant change in the business environment. When managing an organization in such conditions, constantly changing data can force managers to postpone decision-making in search of greater analytical accuracy. Also, uncertainty interferes with the implementation of a detailed plan. In this regard, to manage an organization in modern conditions, it is necessary to use methods that provide for forecasting and an objective assessment of management contradictions. The ERP system will help solve these main problems. However, even modern ERP systems have limitations that do not allow them to quickly and effectively analyze the huge flow of information generated by modern business processes. Artificial intelligence technologies can be used to solve this problem. The article discusses the problems of implementing AI solutions in ERP systems and proposes solutions to improve the efficiency of business processes for operational decision-making in modern conditions. Currently, the development of modern enterprises is no longer conceivable without the use of technologies based on artificial intelligence, which is one of the key trends in economic development both in Russia and in the world. Based on literature review and empirical data analysis, the authors of the article consider what steps need to be taken to develop new technologies in business and how to improve the data environment. The authors focus on the fact that, despite the enormous potential, AI solutions face a number of difficulties in their implementation. The article concludes that the implementation of AI solutions in modern ERP systems is an effective solution for managing a modern enterprise, since such solutions are already capable of significantly simplifying business process management by automating tasks and providing real-time analytics.