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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: vendor = Microsoft; testing = affirmative

Generated 2026-10-12 15:35 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: vendor = Microsoft; testing = affirmative · 7 records

Key findings

  • 7 use-case records from 3 agencies: 2 deployed (29%), 3 pilots, 2 in development or acquisition, 0 retired, 0 with no stage reported.
  • 2 records are designated high-impact; 2 of them (100%) answered at least one minimum-practice question.
  • 50% of reported deployed use cases (1 of 2) are classified as generative or agentic AI.
  • Of 1 deployed high-impact use cases, 1 report a completed AI impact assessment and 0 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 100% of use cases. Where reported, 29% involve in-house development.

Governance evidence: use cases designated high-impact

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing2000002
AI impact assessment2000002
Independent review2000002
Ongoing monitoring1100002
Operator training2000002
Fail-safe2000002
Appeal process0002002
User and public consultation2000002

"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
SSA2213 of 14

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 7 records.

RecordAgency IDAgencyUse caseStage
R3121SSAVocational Assessment Assistant Tool (VAAT)Deployed
R3440DOE-586DOEGitHub CopilotDeployed
R3116SSAPolicy Assistance Tool (PAT)Pilot
R3180SBA-21SBASecurity Team Productivity EnhancementPre-deployment
R3190SBA-34SBADeveloper Code Assistant AIPre-deployment
R3376DOE-518DOEMicrosoft Co-PilotPilot
R3430DOE-574DOEM365 CopilotPilot

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