Benefits and Management of AI Agents in IT Organizations: A Critical Perspective

Authors

  • Mihai-Virgil NICHITA SD-AIMA
  • Adrian-Paul SINGHEORGHE SD-AIMA
  • Dana-Corina DESELNICU
  • Andreea BARBU

DOI:

https://doi.org/10.56177/12icmie2025.157

Abstract

Artificial Intelligence (AI) agents are transforming modern organizations through automation, decision support and operational efficiency. Resources such as chatbots, monitoring systems and autonomous decision-making tools are increasingly embedded to manage repetitive tasks, streamline workflows and improve deliverables. This paper presents how AI agents augment human capabilities while supporting strategic goals. Benefits suchs as automation boosts productivity, reduces costs and enables faster or data-driven decisions are significant. AI also enhances user experience for both staff and customers with timely support, proactive problem detection and seamless management. Proven examples illustrate practical outcomes. Managing AI agents requires ensuring reliability, ethics and alignment with goals. Governance frameworks, monitoring, updates and risk mitigation are decisive. Human oversight remains a key point, as AI complements rather than replaces expertise. A dedicated section stresses critical thinking in order to provide a characterization of this type of solution. Best practices integrate human judgment with AI recommendations for balanced, ethical results.The paper also addresses challenges such as security, ethics and resistance to change, while considering future adoption trends. By combining role analysis, benefits, governance and critical thinking, it offers a comprehensive view of responsible AI integration in organizations.

Downloads

Published

2026-01-08

How to Cite

NICHITA, M.-V., SINGHEORGHE, A.-P., DESELNICU, D.-C., & BARBU, A. (2026). Benefits and Management of AI Agents in IT Organizations: A Critical Perspective . International Conference of Management and Industrial Engineering, 12, 128–136. https://doi.org/10.56177/12icmie2025.157

Issue

Section

Digital Transformation and Technological Leadership

Most read articles by the same author(s)