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

Custom inventory report

Filter: high-impact = high_impact; function = chat_assistant

Generated 2026-10-13 11:46 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: high-impact = high_impact; function = chat_assistant · 8 records

Key findings

  • 8 use-case records from 3 agencies: 3 deployed (38%), 2 pilots, 2 in development or acquisition, 1 retired, 0 with no stage reported.
  • 8 records are designated high-impact; 3 of them (38%) answered at least one minimum-practice question.
  • 0% of reported deployed use cases (0 of 3) 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 63% of use cases. Where reported, 100% involve in-house development.

Lifecycle

StageRecordsShare
Deployed338%
Pilot225%
Pre-deployment225%
Retired113%

AI technology

ClassificationRecordsShareDeployed
Generative AI225%0
Classical / predictive ML113%1
Natural language processing338%2
Agentic AI113%0
Not reported113%0

Agencies

AgencyRecordsDeployedHigh-impactCompleteness
VA · Department of Veterans Affairs41452%
DOJ · Department of Justice323100%
SSA · Social Security Administration101100%

High-impact designation

DesignationRecords
High-impact8

Governance evidence: use cases designated high-impact

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing1200058
AI impact assessment1200058
Independent review1200058
Ongoing monitoring0300058
Operator training1200058
Fail-safe1200058
Appeal process0201058
User and public consultation1200058

"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.

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

All 8 records.

RecordAgency IDAgencyUse caseStage
R1541DOJ-0083DOJFinancial and Cryptocurrency Analysis: Federal PartnerDeployed
R1542DOJ-0084DOJFinancial and Cryptocurrency Analysis: Commercial SolutionDeployed
R2226VA-24-2717VAVA.gov Chatbot: Summative ContentDeployed
R1741DOJ-0316DOJChatbot to Answer Internal Employee Policy QueriesPilot
R2067VA-25-897VAEmployee Transactions for HR Decision-MakingPre-deployment
R2116VA-25-2906VANatural Language Online Workflow (NOW)Pre-deployment
R2365VA-24-3824VAelectronic Virtual Assistant (e-VA)Retired
R3116SSAPolicy Assistance Tool (PAT)Pilot

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