Achieving Financial Improvement and Audit Readiness (FIAR) requires more than strategic frameworks; it demands the deployment of cutting edge technology to handle the vast scale and complexity of Department of War data. This session bridges the gap between high level strategy and ground-level execution by showcasing how Artificial Intelligence is actively transforming the FIAR landscape. We will detail how machine learning models, natural language processing, and robotic process automation are being operationalized to ingest unstructured data, automate complex reconciliations, and predict audit vulnerabilities before they mature. Attendees will see tangible examples of AI-enabled tools currently in action, demonstrating how the DoW is accelerating audit remediation timelines, improving data fidelity, and building a sustainable, tech forward foundation for continuous financial accountability. Learning Objectives: 1. Articulate the strategic vision for integrating Artificial Intelligence into the DoW’s FIAR execution plans. 2. Identify specific AI and machine learning technologies currently being deployed to automate financial reconciliations and data validation. 3. Understand how natural language processing is being utilized to analyze unstructured contract and financial documentation at scale. 4. Learn about the development and deployment of predictive models designed to proactively identify and mitigate audit vulnerabilities. 5. Get the latest status on pilot programs and scaling efforts for AI tools across various DoW financial components. 6. Describe the governance, data quality standards, and ethical considerations necessary to successfully implement AI-enabled audit solutions.