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