Claudiu Florin IUONAȘ1, Constantin OPREAN2,3, Aurel Mihail ȚÎȚU4,5
ABSTRACT: In the fast-evolving ntegration of autonomous artificial intelligence (AI) systems into IT project management enables adaptive planning, real-time decision-making, and intelligent task prioritization. Agent-based architectures, both single and multi-agent, support dynamic workflows by autonomously coordinating actions and optimizing outcomes. Emphasis is placed on the transition from rule-based automation to self-governing AI agents aligned with agile methodologies. Applications of machine learning and reinforcement learning are mapped across the project lifecycle, from initiation and planning to execution and monitoring. Challenges such as transparency, trust, and human oversight are addressed, alongside strategic considerations for deploying AI at enterprise scale in complex IT ecosystems.
KEYWORDS: Autonomous AI, Multi-Agent Systems, IT Project Management, Agile AI Integration, Task Prioritization, Generative AI, Reinforcement Learning, Intelligent Decision-Making.
DOI 10.56082/annalsarscieco.2025.4.17
1National University of Science and Technology POLITEHNICA Bucharest, Faculty of Industrial Engineering and Robotics, Splaiul Independenţei no. 313, 6th District, Bucharest, Romania, ORCID No. 0000-0001-8031-3212,
f.iuonas@outlook.com
2Lucian Blaga University of Sibiu, 10 Victoriei Street, Sibiu, România, ORCID No. 0000-0002-1710-0660, constantin.oprean@ulbsibiu.ro
3Academy of Romanian Scientists, 3 Ilfov Street, Bucharest, Romania
4Lucian Blaga University of Sibiu, 10 Victoriei Street, Sibiu, România, Corresponding author, ORCID No. 0000-0002-0054-6535, mihail.titu@ulbsibiu.ro
5Academy of Romanian Scientists, 3 Ilfov Street, Bucharest, Romania
6National University of Science and Technology POLITEHNICA Bucharest, Faculty of Industrial Engineering and Robotics, Splaiul Independenţei no. 313, 6th District, Bucharest, Romania, ORCID No. 0000-0007-4692-1146, danut.iuonas@yahoo.com
PUBLISHED in Annals Academy of Romanian Scientists Series on Economy, Law, Sociology, Volume 8 no 4, 2025