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 |
|---|---|---|---|---|---|---|
| Name Matching SEC-19 · Division of Examinations (EXAMS) | SEC | Deployed | Not high-impact | Other | Classical / predictive ML | Contract and in-house |
| Parsing of Plain Language Descriptions to Machine-Readable Notations SEC-20 · Division of Examinations (EXAMS) | SEC | Deployed | Not high-impact | Other | Classical / predictive ML | Contract and in-house |
| Using Machine Learning/Artificial Intelligence Techniques to Predict Entities With Certain Risk Characteristics SEC-24 · Division of Examinations (EXAMS) | SEC | Deployed | Not high-impact | Other | Classical / predictive ML | Contract and in-house |
| Identification of Potentially Manipulative Activity in Certain Accounts SEC-26 · Division of Examinations (EXAMS) | SEC | Deployed | Not high-impact | Other | Classical / predictive ML | Contract and in-house |
| Tracing digital asset transactions and identifying entities controlling wallet addresses SEC-67 · Division of Enforcement (ENF), Division of Examinations (EXA | SEC | Deployed | Not high-impact | Other | Classical / predictive ML | Purchased from vendor |
| Counterparty Risk Anomaly Detection HUD-2024-001 · Ginnie Mae | HUD | Deployed | Not high-impact | Other | Classical / predictive ML | Contract and in-house |
| Economic Trend Modeling FRB-0001 · Division of Monetary Affairs | FRB | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Commercial Real Estate Index FRB-0009 · Division of Supervision and Regulation | FRB | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Regulatory Data Analysis FRB-0028 · Division of Supervision and Regulation | FRB | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Risk Rating Model – Community Banks FRB-0049 · Division of Supervision and Regulation | FRB | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Resource Capacity Planning R0832 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Other | Classical / predictive ML | Contract and in-house |
| HMDA (Home Mortgage Disclosure Act) Outlier Screen FDIC – 21 · Division of Depositor and Consumer Protection | FDIC | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Background Check Web Application FDIC-64 · Division of Resolutions and Receiverships | FDIC | Deployed | Not high-impact | Other | Classical / predictive ML | Purchased from vendor |
| OEWS Occupation Autocoder DOL-19 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Scanner Data Product Classification DOL-20 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Expenditure Classification
Autocoder DOL-21 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Contract and in-house |
| Computer-Assisted Coding:
SOII Autocoder DOL-28 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| CFOI Record Matching DOL-29 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| CPS OTC Prediction DOL-35 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Sample Refinement: Frame API DOL-36 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| CE Interview Item Code Estimation DOL-37 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| CE Interview Imputations DOL-38 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Comment Actionability
Likelihood Score DOL-40 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| PPI Price Tolerance Prediction DOL-42 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| List Frame Deadwood Identification USDA-023 · Research, Education and Economics | USDA | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Survey Outlier Detection Model USDA-041 · Research, Education and Economics | USDA | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| County-Level Remotely-Sensed Corn and Soybean Yield Estimation USDA-067 · Research, Education and Economics | USDA | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Policy Analysis USDA-138 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Telemetry Analysis Learning Algorithm (TALA) DOI-0070 · USGS | DOI | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Microsoft eDiscovery Attorney-Client Privilege Detection DOI-0021 · SOL | DOI | Deployed | Not high-impact | Other | Classical / predictive ML | Purchased from vendor |
| Benefit and Earnings Public Use File R3111 · Chief Information Officer, Analytics and Improvements | SSA | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Veteran Experience Office Retention/Trust Models in Customer Experience Insights VA-25-5411 · OIT: Office of Information & Technology | VA | Deployed | Not high-impact | Other | Classical / predictive ML | Contract and in-house |
| UiPath Document Understanding VA-24-1323 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Other | Classical / predictive ML | Purchased from vendor |
| Variable Optimization FRB-0010 · Division of Supervision and Regulation | FRB | Pilot | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Decision Tree for Deposits Data FRB-0029 · Division of Supervision and Regulation | FRB | Pilot | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Novel Activities Call Report Classification FRB-0031 · Division of Supervision and Regulation | FRB | Pilot | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Risk Rating Model FRB-0050 · Division of Supervision and Regulation | FRB | Pilot | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| QCEW NAICS Autocoder DOL-39 · BLS | DOL | Pilot | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Anomaly Detection for Financial Transactions Related to DOI Programs DOI-0010 · OIG | DOI | Pilot | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| ACORN (Autonomous Operation for Reactor Technologies) DOE-527 · NE INL - NE Idaho National Laboratory (NE) | DOE | Pilot | Not high-impact | Other | Classical / predictive ML | Contract and in-house |
| Computer-Assisted Review:
ORS Autocoder DOL-41 · BLS | DOL | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Aveva Predictive Analytics (APA) DOI-0058 · BOR | DOI | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Not reported |
| CF Staff Review Comments SEC-9 · Division of Corporate Finance (CF) | SEC | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Not reported |
| Identification of Potentially Manipulative Trading Activity in Registrant Data SEC-21 · Division of Examinations (EXAMS) | SEC | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Not reported |
| Analyzing Registered Offerings Data to Understand Capital Formation Trends SEC-56 · Office of Information Technology (OIT), Office of the Chief | SEC | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Not reported |
| Analyzing Form ADV Data to Identify Trends Among Investment Advisers SEC-58 · Office of the Chief Data Officer (OCDO), Office of Informati | SEC | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Not reported |
| Credit Fragment Analysis FRB-0011 · Division of Research and Statistics | FRB | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Not reported |
| Threshold Monitoring FRB-0041 · Division of Supervision and Regulation | FRB | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Not reported |
| Supply and Demand Tool FRB-0042 · Division of Supervision and Regulation | FRB | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Not reported |
| Outlier Detection FRB-0043 · Division of Supervision and Regulation | FRB | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Not reported |
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