Agentic AI Systems: Architecture, Capabilities, and Implications for Autonomous Decision-Making

Paper Details
Manuscript ID: 2125-1107-5530
Vol.: 1 Issue: 7 Pages: 78-86 Nov - 2025 Subject: Computer Science Language: English
ISSN: 3068-1995 Online ISSN: 3068-109X DOI: https://doi.org/10.64823/ijter.2507010
Abstract

This paper explores **Agentic Artificial Intelligence (AI)** systems that exhibit autonomous, goal-directed behavior and independent decision-making. It discusses their **architectural foundations**, including reasoning engines, memory systems, and planning frameworks that enable self-directed actions. The study highlights key **capabilities** such as multi-step reasoning, tool use, and adaptive learning across various domains. It also examines **challenges** related to safety, alignment, and ethical deployment. Overall, the paper emphasizes the transformative potential of agentic AI and the need for responsible governance in its development.

Keywords
Agentic Artificial Intelligence Autonomous Systems Machine Learning
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Cite this Article

gauri sale, Dr. Sonal Ayare (2025). Agentic AI Systems: Architecture, Capabilities, and Implications for Autonomous Decision-Making. International Journal of Technology & Emerging Research (IJTER), 1(7), 78-86. https://doi.org/10.64823/ijter.2507010

BibTeX
@article{ijter2025212511075530,
  author = {gauri sale and Dr. Sonal Ayare},
  title = {Agentic AI Systems: Architecture, Capabilities, and  Implications for Autonomous Decision-Making},
  journal = {International Journal of Technology &  Emerging Research },
  year = {2025},
  volume = {1},
  number = {7},
  pages = {78-86},
  doi =  {10.64823/ijter.2507010},
  issn = {3068-109X},
  url = {https://www.ijter.org/article/212511075530/agentic-ai-systems-architecture-capabilities-and-implications-for-autonomous-decision-making},
  abstract = {This paper explores **Agentic Artificial Intelligence (AI)** systems that exhibit autonomous, goal-directed behavior and independent decision-making. It discusses their **architectural foundations**, including reasoning engines, memory systems, and planning frameworks that enable self-directed actions. The study highlights key **capabilities** such as multi-step reasoning, tool use, and adaptive learning across various domains. It also examines **challenges** related to safety, alignment, and ethical deployment. Overall, the paper emphasizes the transformative potential of agentic AI and the need for responsible governance in its development.
  },
  keywords = {Agentic Artificial Intelligence, Autonomous Systems, Machine Learning},
  month = {Nov},
}
Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.