As defense financial managers navigate continuing resolutions, evolving policy mandates, and increasing audit scrutiny, traditional dashboards and static analytics are no longer enough. A new generation of agentic AI — systems capable of reasoning across data, orchestrating workflows, and proactively identifying risks — is emerging to support mission-ready financial management. This panel will examine how agentic AI can integrate fragmented financial and operational data across ERP systems, surface compliance risks in real time, and assist leaders in evaluating trade-offs under dynamic budget and policy constraints. Panelists from government and industry will share practical use cases in budget execution, forecast accuracy, audit readiness, and cross-functional coordination, demonstrating how AI can reduce manual reconciliation, accelerate decision cycles, and improve fiscal stewardship. Importantly, the discussion will address how to align people, policy, and technology: ensuring human decision authority remains central; embedding explainability and governance controls; and operating securely within defense environments. Attendees will leave with a clear understanding of what distinguishes agentic AI from traditional automation, how it augments financial analysts rather than replaces them, and how to deploy it in ways that produce measurable outcomes such as improved visibility, reduced risk, and enhanced mission readiness. Learning Objectives: 1. Differentiate agentic AI from traditional analytics and automation tools and evaluate where it can most effectively augment defense financial management functions. 2. Assess how agentic AI can align financial data, policy constraints, and human decision authority to improve transparency, reduce execution risk, and support faster, mission-aligned resource allocation decisions. 3. Identify governance, security, and implementation considerations necessary to deploy AI within defense financial environments while maintaining auditability, explainability, and regulatory compliance.