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 |
|---|---|---|---|---|---|---|
| Entity Resolution DHS-24 · CBP | DHS | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Contract and in-house |
| Automated Item of Interest Detection DHS-37 · CBP | DHS | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Contract and in-house |
| Investigative Prioritization Aggregator DHS-125 · ICE | DHS | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Contract and in-house |
| Biometrics Enrollment Tool (BET) Fingerprint Quality Check DHS-14 · USCIS | DHS | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Contract and in-house |
| Automated Name and Date of Birth (DOB) Harvesting Service DHS-180 · USCIS | DHS | Deployed | Presumed high-impact, determined not | Service Delivery | Classical / predictive ML | Contract and in-house |
| User Entity and Behavior Analytics (UEBA) for Security Operations (SecOps) Anomaly Identification DHS-372 · USCIS | DHS | Deployed | Presumed high-impact, determined not | Cybersecurity | Classical / predictive ML | Contract and in-house |
| Person-Centric Identity Services Information Compilation Check DHS-56 · USCIS | DHS | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Contract and in-house |
| Normalization Services DHS-P1 · ICE | DHS | Deployed | Not high-impact | Law Enforcement | Classical / predictive ML | Contract and in-house |
| AdaptiveMFA DHS-419 · MGMT | DHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| ELIS Evidence Classifier Service DHS-16 · USCIS | DHS | Deployed | Not high-impact | Service Delivery | Classical / predictive ML | Contract and in-house |
| Helpdesk chat assistant for common data system tasks 39 · OFA | EPA | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Contract and in-house |
| Agency Records Management System 73 · OFA | EPA | Deployed | Not high-impact | Service Delivery | Classical / predictive ML | Contract and in-house |
| RCRA PA 78 · OECA | EPA | Deployed | High-impact | Law Enforcement | Classical / predictive ML | Contract and in-house |
| USGS Flow Photo Explorer [2024 INV#WO0000000109196] DOI-0117 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Contract and 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 |
| Machine Translation TREAS-28 · Internal Revenue Service (IRS) | TREAS | Deployed | Not high-impact | Service Delivery | Classical / predictive ML | Contract and in-house |
| Integrate Word Processor AI for Digitalization TREAS-IRS-64 · Internal Revenue Service (IRS) | TREAS | Deployed | Not high-impact | Service Delivery | Classical / predictive ML | Contract and in-house |
| Automatic PSC Classification FTC-0001 · BCP/DCRO | FTC | Deployed | Not high-impact | Law Enforcement | Classical / predictive ML | Contract and in-house |
| Group Duplicate Complaints FTC-0002 · BCP/DCRO | FTC | Deployed | Not high-impact | Law Enforcement | Classical / predictive ML | Contract and in-house |
| AI-Augmented Declassification Review R3213 · A/SKS | STATE | Deployed | High-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| FA.gov RedactAid R3241 · F/FAO | STATE | Deployed | Not high-impact | International Affairs | Classical / predictive ML | Contract and in-house |
| Certified Professional Controller (CPC) On-Board Success Evaluator DOT-1000008 · FAA AJO | DOT | Deployed | Not high-impact | Transportation | Classical / predictive ML | Contract and in-house |
| VA.gov Chatbot: Summative Content VA-24-2717 · OIT: Office of Information & Technology | VA | Deployed | High-impact | Information Technology | Classical / predictive ML | Contract and 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 |
| Automated Decision Support VA-24-4722 · VBA: Veterans Benefits Administration | VA | Deployed | High-impact | Government Benefits Processing | Classical / predictive ML | Contract and in-house |
| Stratification Tool for Opioid Risk Mitigation (STORM) VA-24-4152 · VHA: Veterans Health Administration | VA | Deployed | High-impact | Health and Medical | Classical / predictive ML | Contract and in-house |
| REACH VET Suicide Risk Prediction and Recovery Engagement VA-24-4234 · VHA: Veterans Health Administration | VA | Deployed | High-impact | Health and Medical | 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 |
| 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 |
| BTSSS 3542 Review VA-24-3738 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| PII in Foreign Medical Program (FMP) Faxes VA-25-7221 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Government Benefits Processing | Classical / predictive ML | Contract and in-house |
| Cloud Account Allocation Plan (CAAP) Cost Analytics Support NASA-901 · GSFC: Goddard Space Flight Center | NASA | Pilot | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| Integrated Data Repository (IDR) Customer Analytic Environment (CAE) R0808 · HHS/CMS/OIT | HHS | Pilot | Not high-impact | Information Technology | Classical / predictive ML | Contract and in-house |
| Data Ingestion and Content Explorer (DICE) R0868 · HHS/FDA/HFP | HHS | Pilot | Not high-impact | Health and Medical | Classical / predictive ML | Contract and in-house |
| Person-level disambiguation for PubMed authors and NIH grant applicants R0934 · HHS/NIH | HHS | Pilot | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| Identification of emerging areas R0964 · HHS/NIH | HHS | Pilot | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| Prediction of transformative breakthroughs R0970 · HHS/NIH | HHS | Pilot | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| Vegetation Specifications Suite (VegSpec) USDA-117 · Farm Production and Conservation | USDA | Pilot | Not high-impact | Service Delivery | Classical / predictive ML | Contract and in-house |
| Bugnet USDA-143 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Contract and in-house |
| Forest Health Protection: Survey and mapping of forest damage from insects and diseases using machine learning USDA-148 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Contract and in-house |
| Washington state forest inventory maps USDA-158 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Energy and the Environment | Classical / predictive ML | Contract and in-house |
| VegScape/CropCASMA Data Portals USDA-172 · Research, Education and Economics | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Contract and in-house |
| Redaction Tool 1 DOJ-0263 · Department of Justice / FBI | DOJ | Pilot | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| Audio and Written Transcription and Translation DOJ-0329 · Department of Justice / DEA | DOJ | Pilot | High-impact | Law Enforcement | Classical / predictive ML | Contract and in-house |
| Machine Learning Image Classification of Wetlands and Soil moisture [2024 INV#WO0000000108779] DOI-0190 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Contract and in-house |
| Wildfire Risk Assessment & Predictive Modeling DOI-0123 · USGS | DOI | Pilot | Not high-impact | Emergency Management | Classical / predictive ML | Contract and in-house |
| Improving Prediction Capabilities for Barrier Island Landscape Change DOI-0114 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Contract and in-house |
| Pilot a suite of Fiscal Service Gen AI solutions REQ-2025-02120 · Bureau of the Fiscal Service (BFS) | TREAS | Pilot | Not high-impact | Information Technology | Classical / predictive ML | Contract and in-house |