Integration of AIagents into business processes: a new vector in corporate systems transformation

the aim of the article is to analyze the possibilities of integrating AI agents into business processes with an emphasis on ERP systems as strategically important elements of corporate infrastructure. Methods. The study considered modern architectural solutions in the field of agent technologies, methods for forming behavioral strategies and approaches to adapting them to applied tasks. An analytical method based on a comparative analysis of Russian and foreign practices, as well as specific examples of implementing intelligent solutions in various industries, was used. Results. The main areas of application of AI agents in the ERP environment are identified: automation of document flow, decision support and improved user interaction. The ability of agents to function in conditions of uncertainty, autonomously building chains of actions is emphasized. Their role in reducing costs and increasing the flexibility of the digital infrastructure is also substantiated. Conclusions. The conclusions include the need to take into account interpretability, ethical acceptability, and legal aspects when designing agent systems. The importance of comprehensive monitoring and regulatory frameworks to ensure sustainable and safe use of AI in the business environment is emphasized. The presented results can serve as a basis for developing methodological recommendations for the implementation of AI agents in corporate practice.

AI agents, artificial intelligence, artificial intelligence agents, business process automation, Enterprise Resource Planning (ERP) systems