THE FEATURES OF ORCHESTRATION FOR MULTI-AGENT ARTIFICIAL INTELLIGENCE SYSTEMS APPLIED TO THE TASKS OF HR PROCESS AUTOMATION IN IT COMPANIES

Abstract

An urgent challenge of the present day is integrating traditional managerial decision-making with artificial intelligence technologies to achieve optimized organizational advantages. Human resource management supported by artificial intelligence enhances the efficiency of selecting software developers in IT companies. Global practice in the development and application of artificial intelligence in recruitment processes demonstrates a steady shift away from traditional forms of personnel management amid societal digitalization. The rapid increase in the volume of data on candidates for vacant positions, the need for swift responses to changes in the IT labor market, and rising demands for personalized interactions create a foundation for utilizing agent coordination as a tool for improving HR management effectiveness.

This study analyzes the key components of orchestration: role distribution among agents, synchronization of their behavior, selection of optimal communication protocols, as well as ensuring transparency and reproducibility in managerial decision-making. A comprehensive orchestration model is proposed, incorporating the full life cycle of HR processes—from sourcing and screening candidates to onboarding, performance evaluation, and employee development management. It is demonstrated that the integration of specialized agents (resume-analysis agents, job-fit prediction agents, team-interaction modeling agents, and communication agents) significantly reduces traditional operational workloads, increases selection accuracy, and enables scalable HR functions.

The conducted analysis shows that competent orchestration of AI-based multi-agent systems not only automates routine processes but also establishes the foundation for developing adaptive, context-sensitive HR ecosystems capable of supporting the strategic goals of IT companies within a dynamic digital society.