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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
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Federal AI Intelligence · U.S. Government AI Observatory

Governance disclosure assessment

Filtered: function = chat_assistant

Generated 2026-10-12 13:24 UTCDataset: 2025 Federal Agency AI Use Case Inventory (individually reported use cases), Office of Management and Budget (OMB). Version 2025-inventory@62d5baa65fa3, processed 2026-10-11, rules 2026.10.1. Static snapshot.Applied filters: function = chat_assistant · 223 records

Key findings

  • 223 use-case records from 27 agencies: 65 deployed (29%), 37 pilots, 98 in development or acquisition, 16 retired, 7 with no stage reported.
  • 8 records are designated high-impact; 3 of them (38%) answered at least one minimum-practice question.
  • HHS, TREAS, DOE report 88 of 223 use cases (39%).
  • 68% of reported deployed use cases (44 of 65) are classified as generative or agentic AI.
  • Of 3 deployed high-impact use cases, 0 report a completed AI impact assessment and 1 leave every minimum-practice field blank.
  • Interpretation: Blank practice fields are missing evidence, not evidence that a safeguard is absent. They mark where follow-up questions to the agency are most useful.
  • Sourcing is reported for 48% of use cases. Where reported, 74% involve in-house development.
  • 7 use cases (3%) have no reported development stage.

Governance evidence: deployed high-impact use cases

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing0200013
AI impact assessment0200013
Independent review0200013
Ongoing monitoring0200013
Operator training0200013
Fail-safe0200013
Appeal process0200013
User and public consultation0200013

"In place" means the agency reported the practice as established. "No answer" means the field was blank; it says nothing about whether the practice exists.

Agencies with high-impact records

AgencyHigh-impactAnswered any practicePractice answers in place
VA400 of 32
DOJ320 of 24
SSA116 of 7

Method

All figures are computed directly from the normalised inventory records. Category labels are normalised from the source answer options; original values are kept on each record. Governance answers are classified as in place, in progress, not in place, not applicable, precluded, waived, other or no answer, and blanks are never read as "no". See the Methodology page for full rules.

Limitations

  • Figures are what agencies reported in the 2025 inventory. They are not verified, and registration of use cases is not complete for every agency.
  • A blank answer is missing evidence, not evidence that a practice or safeguard is absent.
  • Counts are use-case records. A larger portfolio does not indicate better performance or greater AI maturity, and agencies differ in how they split systems into use cases.
  • The inventory has no budget, cost, accuracy or outcome data. None is shown or inferred here.
  • This is a disclosure analysis. It is not an audit, a compliance determination or an official government assessment.

Source records

First 40 of 223 records, deployed first. The full list is available as CSV from the explorer with the same filters.

RecordAgency IDAgencyUse caseStage
R0031SEC-38SECUsing AI Large Language Model chat for general tasks/questionsDeployed
R0040SEC-47SECUsing AI to answer questions about a corpus of uploaded filesDeployed
R00877NSFServiceNow GenAI "Now Assist"Deployed
R0546HUD-2025-004HUDCAISY - Workforce Training Conversation SimulatorDeployed
R0593FRB-0054FRBVirtual Benefits AssistantDeployed
R0607HHSCollective Bargaining CompassDeployed
R0608HHSDiscover User AssistantDeployed
R0616HHSBuilder BuddyDeployed
R0656HHSCDC Chatbot - Enterprise Data AssistantDeployed
R0669HHSCDC ChatbotDeployed
R0670HHSEDAV Virtual Assistant - Eva ( Microbot Service) - Bot as a Service (BaaS)Deployed
R0675HHSNCIRD SmartFind ChatBots - Public and InternalDeployed
R0690HHSDHDSP NOFO Technical Assistance ChatbotDeployed
R0694HHSATSDR Toxicological Assistant chatbotDeployed
R0767HHSCMS ChatDeployed
R0809HHSIDR Support BotDeployed
R0810HHSEligibility & Enrollment Medicare Online (ELMO) ChatbotDeployed
R0875HHSChatBot for Safety Reporting Portal Adverse Events and Product problems submissionsDeployed
R0887HHSPRF Program ChatbotDeployed
R0911HHSCSR Public Chatbot (CPC)Deployed
R0926HHSNBS Virtual AssistantDeployed
R0928HHSNHLBI ChatDeployed
R0952HHSNIH Grants Virtual AssistantDeployed
R0984HHSAsk AithenaDeployed
R1030HHSApplicant Help ChatbotDeployed
R1061FDIC – 37FDICCFOO Admin ChatbotDeployed
R1062FDIC – 38FDICCFOO Travel ChatbotDeployed
R1176GSAEnterprise Chatbot (GSAi)Deployed
R1177GSAUSAi.govDeployed
R1199GSALeasing Desk Guide BotDeployed
R1250DOT-1000056DOTFinancial Policy LLM Document SearchDeployed
R1268DOT-1000074DOTCommunity Engagement Chat BotDeployed
R1270DOT-1000215DOTConversational Multi-modal Chatbot (Google Gemini)Deployed
R1293DOL-23DOLWorkforce Recruitment Program (WRP) Website Chatbot AssistantDeployed
R1439USDA-141USDATreeSearchDeployed
R1440USDA-142USDAInfosec ChatbotDeployed
R1475USDA-177USDAChatbot for IT Customer Help DeskDeployed
R1516DOJ-0046DOJChatBotDeployed
R1541DOJ-0083DOJFinancial and Cryptocurrency Analysis: Federal PartnerDeployed
R1542DOJ-0084DOJFinancial and Cryptocurrency Analysis: Commercial SolutionDeployed

Prepared with Federal AI Intelligence by Irakli Petriashvili. Source: https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory