tensorust/federal-ai-use-cases-sample

Federal AI Use Case Inventory: free sample (Tensorust LLC)

Every AI system federal agencies reported for 2025, with stage, high-impact status, the named vendor and its federal dollars.

Headline: Agencies reported 3,611 individual AI use cases in OMB's 2025 inventory across 41 agencies, 2,539 of them not in the 2024 inventory, and 445 marked high-impact, the class that carries OMB's minimum risk practices.

This repository is a free teaser, not the dataset. It holds 25 example rows and a summary table with no names in it. The full file has 3,611 rows and is sold by Tensorust LLC: https://tensorust.com/datasets/federal-ai-use-cases/.

Files here

file	what it is
sample.csv	25 rows of the full file (the same sample shown on tensorust.com)
summary_by_topic_area.csv	row counts by topic area across the full file, no entity names (groups with fewer than 3 rows are folded into "Other")

Summary by topic area (largest groups)

Topic area	rows
Science	758
(blank)	603
Admin Functions	424
IT	394
Law Enforcement	285
Health and Medical	272
Other	173
Service Delivery	150
Energy and Environment	131
Procurement and Finance Mgmt	90
Transportation	79
Benefits Processing	56
TOTAL	3,611

Full table: summary_by_topic_area.csv.

What the full file has

• 3,611 rows
• Key fields: id, agency, agency_name, agency_bureau, use_case_name, development_stage, is_high_impact, topic_area, classification, problem_solved
• Parquet and CSV, a README with sources, method and limits, and the build script
• Free 25-row sample (no personal contact data)

Coverage: All individually reported 2025 use cases from 41 agencies; COTS products in the companion file. OMB 2025 inventory as published on GitHub; built Nov 6 2026

Columns in the full file

column	meaning
id	Use case id
agency	Agency abbreviation
agency_name	Agency name
agency_bureau	Bureau or component
use_case_name	Use case name
development_stage	Pre-deployment, Pilot, Deployed or Retired
is_high_impact	High-impact designation as reported
topic_area	Topic area
classification	AI classification (includes generative AI)
problem_solved	Problem the use case addresses
benefits	Expected benefits
system_outputs	What the system outputs
operational_date	Date operational
contracting_usage	How the system was acquired
vendor_name	Vendor as reported by the agency
have_ato	Has an authority to operate
system_name_ato	System name under the ATO
has_pii	Uses personally identifiable information
has_custom_code	Has custom code
code_url	Public code link
is_withheld	Agency withheld details
generative_ai	Generative AI by classification or name
stage_2024	Stage in the 2024 inventory, when the use case matches
new_in_2025	No match in the 2024 inventory
vendor_primary	First named vendor
vendor_oid	Tensorust ontology organization id for the vendor
vendor_sources	Public sources the vendor appears in
vendor_federal_awards_fy25plus	Vendor's federal awards FY2025 on, USD (ontology)

Get the full file

tier	price	includes
Agency or vendor slice	$400	Every use case for up to 3 agencies or 10 named vendors, with stage, high-impact status, ATO and 2024 stage. CSV and Excel.
Full inventory	$1,800	All 3,611 use cases, the 900-row COTS file and vendor ontology links with federal award totals.
Inventory tracker	$4,800 a year	The full inventory re-run on each OMB release, with stage changes, new high-impact systems and new vendors marked, for 12 months.

Email mattbusel@tensorust.com with the tier and a billing contact, and we will send a proper invoice (ACH or card). The file is delivered once the invoice is paid. Details and the live sample: https://tensorust.com/datasets/federal-ai-use-cases/. All datasets: https://tensorust.com/datasets/

Method and limits

Load OMB's 2025 individually reported AI use case file and the consolidated COTS file from the ombegov GitHub repository, drop the contact_email column, flag generative AI from the classification and name, match each use case to the 2024 inventory on agency plus normalized name to get its prior stage, split multi-vendor strings and join the first named vendor to the Tensorust ontology (162 of 385 vendors matched).

Not contract data (the vendor is what the agency typed, not an award), not an assessment of compliance with OMB memos, and not complete: agencies withhold some use cases, and COTS tools are in a separate 900-row file (cots_products_2025.csv). New in 2025 means no name match to 2024, which also catches renamed use cases. No personal contact data.

Sources

• OMB 2025 Federal Agency AI Use Case Inventory, https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory
• OMB 2024 Federal AI Use Case Inventory, https://github.com/ombegov/2024-Federal-AI-Use-Case-Inventory
• Tensorust ontology (federal award totals by organization)

License

The sample and summary here are free to view, analyze and cite with attribution to "Tensorust LLC, https://tensorust.com/datasets/federal-ai-use-cases/". The full dataset is licensed separately per tier. No resale or redistribution of Tensorust data without a written license.

Tensorust LLC, Tuckahoe NY. mattbusel@tensorust.com | https://tensorust.com