Sarcouncil Journal of Multidisciplinary

Abstract: The agentic AI is a paradigm shift in enterprise computing, which will fundamentally change how organizations automate and make intelligent decisions. When compared with conventional robotic process automation systems that are used within a rather rigid framework, agentic systems based on AI show signs of autonomous behavior with the help of complex architectures that feature perception, reasoning, and execution capabilities. These intelligent agents will utilize large language models, distributed memory, and learning mechanisms, and make nuanced choices without constant human intervention in the processing of unstructured data and navigating the complex context. Enterprise deployments cut across a wide array of domains: customer support platform, IT operations platform, sales enablement, and cross-functional workflow automation. Packages like LangChain, Microsoft Copilot, and Relevance AI are the leading frameworks that help organizations implement scalable agent solutions and consider different needs in terms of customization and accessibility. Nevertheless, the implementation must be done regardless of some major issues, such as security issues, compliance, and the transformation of the workforce. Organisations need to put in place good governance systems that guarantee sound and trusted autonomous functioning with proper human control. The economic evaluation demonstrates strong value propositions characterized by significant productivity benefits and reduction in costs, but it needs to be meticulously planned and strategically invested. Enterprises should prepare themselves for an AI-augmented future by actively developing their infrastructure, reskilling their workforce, and planning their organizations to support their innovations without letting risks accumulate.