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This paper examines the planning process for project teams in IT companies that use agile management methods and the challenges that arise. The research aims to determine a method for calculating labor productivity for specialists in the IT sector and propose a way to integrate AI into workflows to improve the estimation of task completion times and optimize their distribution among employees. While evaluating task completion time, the authors studied articles from the ArXiv and CyberLeninka systems. Additionally, the authors analyzed open datasets from the GitHub system and statistics from internal workspaces. The research defines the essence of calculating labor productivity for IT company specialists, aimed at maximizing utility. A flexible scheme for evaluating and distributing tasks for the team is proposed. The proposed scheme considers the characteristics of the project and specialists. The paper highlights potential issues that may arise when using this tool. The research suggests ranking tasks by priorities and performers, creating a general universal model that optimizes numerous tasks for the team as a whole rather than for individual performers.

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The Use of Artificial Intelligence for Optimizing Project Management in IT Companies

  • 章节

  • 发表日期：

    2025年

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  • Artem V. Kaledin,
  • Alexander G. Rasnyuk,
  • Tatiana V. Novikova

摘要

This paper examines the planning process for project teams in IT companies that use agile management methods and the challenges that arise. The research aims to determine a method for calculating labor productivity for specialists in the IT sector and propose a way to integrate AI into workflows to improve the estimation of task completion times and optimize their distribution among employees. While evaluating task completion time, the authors studied articles from the ArXiv and CyberLeninka systems. Additionally, the authors analyzed open datasets from the GitHub system and statistics from internal workspaces. The research defines the essence of calculating labor productivity for IT company specialists, aimed at maximizing utility. A flexible scheme for evaluating and distributing tasks for the team is proposed. The proposed scheme considers the characteristics of the project and specialists. The paper highlights potential issues that may arise when using this tool. The research suggests ranking tasks by priorities and performers, creating a general universal model that optimizes numerous tasks for the team as a whole rather than for individual performers.