Federal AI Intelligence
Menu
Snapshot · OMB 2025 inventory · processed Oct 11, 2026
← All report templates
Federal AI Intelligence · U.S. Government AI Observatory

Agency AI profile

Surface Transportation Board (STB)

Generated 2026-10-11 23:48 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: agency = STB · 2 records

Key findings

  • STB reported 2 use cases (0.1% of all records): 0 deployed, 0 pilots, 2 in development or acquisition, 0 retired, 0 with no stage.
  • 0 are designated high-impact; 0 of those answered at least one minimum-practice question.
  • Mean disclosure completeness is 58% of 12 core fields, ranking 31 of 41 agencies.
  • Sourcing is reported for 0% of records.

Portfolio

Technology

ClassificationRecordsShare
Natural language processing2100%

Topic areas

TopicRecordsShare
Other2100%

Governance disclosures (high-impact records)

No use cases designated high-impact.

Field completeness

FieldSTBAll agencies
Stage100%91%
High-impact designation100%88%
Topic area100%83%
AI classification100%82%
Problem100%84%
Benefits100%82%
Outputs100%79%
Sourcing0%44%
Start date0%39%
ATO0%43%
PII0%42%
Custom code0%47%

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 2 records.

RecordAgency IDAgencyUse caseStage
R1093TBDSTBCopilot for AppianPre-deployment
R1094TBDSTBRelativityOnePre-deployment

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