The recently released\u00a02025 VA AI Inventory<\/a>\u00a0catalogs cases of AI use across the department, from clinical tools used during patient care to systems that help process benefits, automate records management and support customer service functions.<\/p>\n Among the systems identified is\u00a0Ambient AI Scribe<\/a>, a clinical documentation tool used during medical appointments.<\/p>\n According to VA, the technology listens to clinician-patient conversations and generates clinical notes, reducing administrative workload and allowing providers to spend more time focused on\u00a0veterans<\/a>.<\/p>\n VA\u2019s disclosure also details widespread use \u2014 by more than 50,000 personnel \u2014 of\u00a0commercial AI<\/a>\u00a0products across the department, including Microsoft Copilot Chat, Microsoft Teams Premium, Grammarly GitHub Copilot and other platforms for support tasks such as meeting transcription, document drafting, report summarization, information retrieval and software development.<\/p>\n Nearly Every Major VA Function Features AI<\/b><\/p>\n Health and medical applications represent the largest category of use cases, followed by systems supporting benefits administration, information technology, service delivery, financial management and administrative operations.<\/p>\n Applications identified in the inventory assist clinicians with imaging analysis and diagnostic workflows, identify disease risk, summarize records, analyze feedback, process forms and provide information through chat-based tools. VA also classifies its\u00a0VA.gov chatbot<\/a>\u00a0as a high-impact use case.<\/p>\n VA says the chatbot is a tool that helps veterans locate information, complete tasks and access support services through self-service interactions.<\/p>\n Another high-impact use case,\u00a0TERA Memorandum Automation<\/a>, helps claims processors complete toxic exposure memoranda by pre-populating answers using information already contained in veterans\u2019 records.<\/p>\n VA reports the system achieved a 98.12% accuracy rate and was used to assist with more than 181,000 forms, saving an estimated 54,581 work hours since deployment.<\/p>\n \u201cVA is using artificial intelligence to improve how veterans access care, benefits and services, while also helping employees work more efficiently and effectively,\u201d said VA Press Secretary Quinn Slaven in a statement to Military Times.<\/p>\n According to Slaven, the inventory reflects \u201csteady growth, stronger governance and expanding real-world impact, particularly in health care, benefits processing and operational efficiency.\u201d<\/p>\n Inventory Provides A Detailed View Of Governance Requirements<\/b><\/p>\n For currently deployed high-impact systems, the inventory tracks whether agencies completed pre-deployment testing, impact assessments, independent reviews, monitoring processes, operator training, fail-safe mechanisms and appeal procedures.<\/p>\n Individual entries also identify potential risks associated with specific applications. For several health care systems, descriptions note that inaccurate outputs could contribute to downstream clinical or operational impacts if not detected and corrected, while also stating that providers receive training and oversight intended to mitigate those risks.<\/p>\n VA says all high-impact systems are required to complete an\u00a0AI Impact Assessment<\/a>\u00a0and Risk Mitigation Plan before being put to work.<\/p>\n \u201cDeployed high-impact AI use cases are continuously monitored,\u201d said Slaven. \u201cAnd any use case that cannot be brought into compliance is discontinued.\u201d<\/p>\n Some AI systems previously reported by VA are now classified as retired. Those systems include healthcare, training and operational applications. The inventory does not specify why individual systems were deactivated.<\/p>\n Performance Data Varies Across Systems<\/b><\/p>\n The level of detail provided in the inventory varies from one system to another. Some entries provide measurable performance outcomes, testing results or operational metrics. Others provide only basic descriptions of intended functions and governance requirements.<\/p>\n![\"\"](\"https:\/\/www.fie.undef.edu.ar\/ceptm\/wp-content\/uploads\/2026\/06\/MWOPMJ4W4FGUFHJ6WYS66D2V6I.jpg\")