Agentic AI in Real-World Operations: Recent Innovation Week Implementation - Automating Program Management with Large Language Models (LLMs)

Authors

  • Ravikant Singh Sr. Data Engineering Manager

DOI:

https://doi.org/10.38124/ijsrmt.v4i8.976

Keywords:

Agentic AI, Large Language Models (LLMs), LangChain, Semantic Kernel, Microsoft Copilot, Agile Program Management, Software Development Life Cycle (SDLC), Conversational Interfaces, Local Deployment, Data Security

Abstract

Enterprise operations experience transformation through agentic AI systems which execute complex workflows autonomously. The paper describes an actual implementation from Innovation Week which demonstrates how Large Language Models (LLMs) automate program management. The initiative used open-source frameworks LangChain and Semantic Kernel andMicrosoft Copilot to create agentic systems which optimized Software Development Life Cycle (SDLC) from requirements collection through deployment and upkeep. The system integrated conversational interfaces to handle Agile workflows in Jira and Excel through natural language interactions instead of conventional click-based navigation. The system decreased operational costs while boosting operational speed and delivering better user experiences. The approach demonstrates a secure method for LLM adoption in program management through local hosting which providesscalability. The paper presents a future perspective on how agentic capabilities will expand throughout DevOps and enterprise collaboration systems.

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Published

2025-08-29

How to Cite

Singh, R. (2025). Agentic AI in Real-World Operations: Recent Innovation Week Implementation - Automating Program Management with Large Language Models (LLMs). International Journal of Scientific Research and Modern Technology, 4(8), 167–173. https://doi.org/10.38124/ijsrmt.v4i8.976

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