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

Governance disclosure assessment

Filtered: high-impact = high_impact; function = case_claims

Generated 2026-10-16 22:45 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 = case_claims · 18 records

Key findings

  • 18 use-case records from 4 agencies: 9 deployed (50%), 1 pilots, 8 in development or acquisition, 0 retired, 0 with no stage reported.
  • 18 records are designated high-impact; 7 of them (39%) answered at least one minimum-practice question.
  • VA, DOJ, DHS report 17 of 18 use cases (94%).
  • 11% of reported deployed use cases (1 of 9) are classified as generative or agentic AI.
  • Of 9 deployed high-impact use cases, 3 report a completed AI impact assessment and 2 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 56% of use cases. Where reported, 40% involve in-house development.

Governance evidence: deployed high-impact use cases

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing4300029
AI impact assessment3400029
Independent review3400029
Ongoing monitoring4300029
Operator training3400029
Fail-safe3301029
Appeal process2302029
User and public consultation2400129

"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
VA900 of 72
DOJ530 of 40
DHS3317 of 21
SSA117 of 8

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 18 records.

RecordAgency IDAgencyUse caseStage
R1498DOJ-0025DOJPalantir (via access to external state LE system)Deployed
R1597DOJ-0156DOJMedical Claims AdjudicationDeployed
R1610DOJ-0168DOJTruviewDeployed
R1906DHS-2408DHSHurricane ScoreDeployed
R1919DHS-2384DHSVerification Match ModelDeployed
R1921DHS-55DHSPerson-Centric Identity Services Deduplication ModelDeployed
R2224VA-24-1938VAAutomated Claims ProcessingDeployed
R2233VA-24-4722VAAutomated Decision SupportDeployed
R3104SSAQuick Disability Determinations ModelDeployed
R1497DOJ-0024DOJOperational Planning Analytics Risk Management Solution (OPARMS)Pre-deployment
R1760DOJ-0335DOJAI-Enabled Workflow AutomationPre-deployment
R2075VA-25-1930VAClaims Processing Automation Quality Auditor POCPre-deployment
R2078VA-25-4147VABenefits Contention Classification ModelPre-deployment
R2087VA-25-3480VASmart Pension AutomationPre-deployment
R2088VA-25-393VAPredictive Claims Processing Capability POCPre-deployment
R2089VA-25-5578VAAICESPre-deployment
R2120VA-25-3573VAClaims Adjudication and Financial Decision-MakingPre-deployment
R2207VA-24-421VAPatient Care Services Integration Platform (PCSIP)Pilot

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