AI use-case explorer
AI use cases
Search and filter every reported use case. Open a record for the agency's full description, governance answers and source provenance.
Columns (7)
| Use case | Agency | Stage | High-impact | Topic area | AI classification | Sourcing |
|---|---|---|---|---|---|---|
| Subledger Data Quality Machine Learning HUD-2024-002 · Ginnie Mae | HUD | Deployed | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Contract and in-house |
| Dun & Bradstreet Business Establishments Data DOJ-0014 · Department of Justice / ATF | DOJ | Deployed | Presumed high-impact, determined not | Procurement and Financial Management | Classical / predictive ML | Purchased from vendor |
| National Insurance Crime Bureau ISO ClaimSearch DOJ-0022 · Department of Justice / ATF | DOJ | Deployed | Presumed high-impact, determined not | Procurement and Financial Management | Classical / predictive ML | Purchased from vendor |
| Southwest Border Transaction Record Analysis Center (SWBTRAC) DOJ-0029 · Department of Justice / ATF | DOJ | Deployed | Presumed high-impact, determined not | Procurement and Financial Management | Classical / predictive ML | Purchased from vendor |
| Machine Learning Data Validation NCUA_E&I-01 · NCUA|E&I | NCUA | Deployed | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Developed in-house |
| Supervisory Stress Testing NCUA_ONES-02 · NCUA|ONES | NCUA | Deployed | High-impact | Procurement and Financial Management | Classical / predictive ML | Developed in-house |
| Sub-Asset Maintenance Model BEP-25 · Bureau of Engraving and Printing (BEP) | TREAS | Deployed | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Contract and in-house |
| Inventory Replenishment Forecast BEP-42 · Bureau of Engraving and Printing (BEP) | TREAS | Deployed | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Contract and in-house |
| IDV Model BEP-67 · Bureau of Engraving and Printing (BEP) | TREAS | Deployed | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Contract and in-house |
| Invoice Scanning System DOE-632 · RL - Hanford - Richland Operations Office - Hanford (EM) | DOE | Deployed | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Developed in-house |
| pComply-AI-High Risk DOE-658 · ANL - Argonne National Laboratory (SC43 OIM) | DOE | Deployed | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Developed in-house |
| Risk Indicator Model NCUA_ONES-03 · NCUA|ONES | NCUA | Deployed | High-impact | Procurement and Financial Management | Classical / predictive ML | Developed in-house |
| Payment Redirect Fraud (PRF) Model VA-24-3291 · VBA: Veterans Benefits Administration | VA | Deployed | High-impact | Procurement and Financial Management | Classical / predictive ML | Contract and in-house |
| Analytics, Data, and Decision Support Unified Platform (ADDSUP) VA-24-1815 · OALC: Office of Acquisitions Logistics, and Construction | VA | Deployed | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Contract and in-house |
| Moody’s Stress Test Modeling NCUA-12-2025 · NCUA|ONES | NCUA | Deployed | High-impact | Procurement and Financial Management | Classical / predictive ML | Not reported |
| ADCo MBS/CMO Modeling NCUA-13-2025 · NCUA|ONES | NCUA | Deployed | High-impact | Procurement and Financial Management | Classical / predictive ML | Not reported |
| CoStar CRE Modeling NCUA-14-2025 · NCUA|ONES | NCUA | Deployed | High-impact | Procurement and Financial Management | Classical / predictive ML | Not reported |
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