AI Agents and Agentic Systems: A Multi-Expert Analysis
The emergence of AI agents and agentic systems represents a significant milestone in artificial intelligence, enabling autonomous systems to operate, learn, and collaborate in complex environments with minimal human intervention. This paper, drawing on multi-expert perspectives, examines the potential of AI agents and agentic systems to reshape industries by decentralizing decision-making, redefining organizational structures, and enhancing cross-functional collaboration. Specific applications include healthcare systems capable of creating adaptive treatment plans, supply chain agents that predict and address disruptions in real-time, and business process automation that reallocates tasks from humans to AI, improving efficiency and innovation. However, the integration of these systems raises critical challenges, including issues of attribution and shared accountability in decision-making, compatibility with legacy systems, and addressing biases in AI-driven processes. The paper concludes that while agentic systems hold immense promise, robust governance frameworks, cross-industry collaboration, and interdisciplinary research into ethical design are essential. Future research should explore adaptive workforce reskilling strategies, transparent accountability mechanisms, and energy-efficient deployment models to ensure ethical and scalable implementation.
Authors
- Michael Wade (ORCID: https://orcid.org/0000-0002-0829-7422)
- Tom Crick (ORCID: https://orcid.org/0000-0001-5196-9389)
- Mark Fenwick (ORCID: https://orcid.org/0000-0001-8175-9008)
- Nir Kshetri (ORCID: https://orcid.org/0000-0002-1408-4212)
- Paulius Jurčys (ORCID: https://orcid.org/0000-0001-6729-7943)
- Vincent Dutot (ORCID: https://orcid.org/0000-0002-3758-9387)
- Spyridon Samothrakis (ORCID: https://orcid.org/0000-0003-1902-9690)
- Laizah Sashah Mutasa (ORCID: https://orcid.org/0000-0003-1377-2862)
- Mousa Ahmad Albashrawi (ORCID: https://orcid.org/0000-0002-6269-1658)
- Yogesh Kumar Dwivedi (ORCID: https://orcid.org/0000-0002-5547-9990)
- Il Jeon (ORCID: https://orcid.org/0000-0002-4220-8374)
- Keyao Li (ORCID: https://orcid.org/0000-0002-6220-7459)
- Arpan Kumar Kar (ORCID: https://orcid.org/0000-0003-4186-4887)
- Laurie Hughes (ORCID: https://orcid.org/0000-0002-0956-0608)
- Mazen Shawosh (ORCID: https://orcid.org/0000-0002-8987-9028)
- Tegwen Malik (ORCID: https://orcid.org/0000-0003-4315-5726)
- Paul Walton
- Rahul Dé (ORCID: https://orcid.org/0000-0002-1300-1438)
- Senali Madugoda Gunaratnege
- Mandanna Appanderanda
Institutions
- University of Essex (GB)
- Infosys (India) (IN)
- Edith Cowan University (AU)
- International Institute for Management Development (CH)
- King Fahd University of Petroleum and Minerals (SA)
- Kyushu University (JP)
- University of North Carolina at Greensboro (US)
- Vilnius University (LT)
- Capgemini (Netherlands) (NL)
- Swansea University (GB)
- Institute of Nanotechnology (GB)
- Indian Institute of Management Bangalore (IN)
- Indian Institute of Technology Delhi (IN)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- Journal of Computer Information Systems
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1080/08874417.2025.2483832
- Citations
- 67
- Primary Topic
- Multi-Agent Systems and Negotiation
- Type
- article
- Field-Weighted Citation Impact
- 166.22