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@article{197459,
        author = {Manish and Anshika Rathor and Tushar sharma and Siddharth Bharti},
        title = {Agentic AI Systems A Framework for Autonomous Decision-Making and Task Execution},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {6037-6041},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197459},
        abstract = {Agentic AI represents the next evolution of artificial intelligence, where systems move beyond passive response generation to autonomous goal-driven behavior. Unlike traditional AI models that rely on human prompts, agentic systems can plan, reason, execute tasks, and adapt dynamically to changing environments. This paper proposes a structured framework for designing Agentic AI systems using modular architecture consisting of perception, reasoning, planning, and execution layers. It evaluates system efficiency, autonomy, and risks such as misalignment and uncontrolled decision loops. The study highlights how Agentic AI can transform domains like software development, automation, and digital governance.},
        keywords = {},
        month = {April},
        }