Citation:

Dr. Sureshkumar Somanathan, 2025 "Orchestrating Agentic AI in Program Management: Governance Frameworks for Autonomous Project Workflows", ESP Journal of Engineering & Technology Advancements  6(1): 193-200.

Abstract:

The fast adoption of digital ecosystems and hybrid clouds infrastructure has added an unprecedented complexity to the contemporary program management that has generated a major rift between the generation of data and the process of making decisions. Conventional Artificial Intelligence (AI) systems which have been mostly recognized to be passive analytics and human-initiated results have been found to be inadequate in meeting real-time operational requirements like resource optimization, dependency management, and compliance enforcement. The paper provides a new form of governance in how to coordinate the use of Agentic AI, a new paradigm where autonomous agents driven by Large Action Models (LAMs) take multi-step decisions in any enterprise context without the need to be constantly prompted to do so. The study builds a multi-layered architectural design, which includes Ingestion, Reasoning, Action, and Immutable Audit layers and allows it to seamlessly integrate with popular project management and reporting tools, including Jira, MS Project, and PowerBI.

References:

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Keywords:

Agentic AI,Program Management,Hybrid Cloud, Blockchain, Autonomous Governance,Jira,MS Project,PowerBI, Zero Trust,Large Action Models, Multi-Cloud Security.