Agentic AI Governance Frameworks for Enterprise Technical Support and Product Engineering

Abstract

The paper elaborates on how governance systems contribute to usage of safe and effective agentic AI to assist in technical support and product engineering at enterprises. The research applies the quantitative method of research in an effort to establish the correlation that masks on governance practices to dependability, security and operational effectiveness. They demonstrate that access control, transparency and safety confirmation has a phenomenal influence on the favorable outcomes and low governance efficacy in risks and faith of the users. It has findings and confirms that it does not possess only the regulation aspect but also efficiency and reliability impetus of governance. The paper becomes exceptionally useful in the aspect of giving suggestions to the businesses that are already contemplating on responsible use of agentic AI and making an organization more prepared.