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 |
|---|---|---|---|---|---|---|
| Public Assistance Workload Projections DHS-2720 · FEMA | DHS | Deployed | Not high-impact | Emergency Management | Classical / predictive ML | Developed in-house |
| Individual Assistance (IA) Predictive Models for Program Quantities DHS-2722 · FEMA | DHS | Deployed | Not high-impact | Emergency Management | Classical / predictive ML | Developed in-house |
| AI Assisted Compromise Email Detector (AACED) DHS-2424 · ICE | DHS | Deployed | Not high-impact | Cybersecurity | Classical / predictive ML | Developed in-house |
| Intelligent Document Processing DHS-2425 · ICE | DHS | Deployed | Not high-impact | Administrative Functions | Computer vision | Contract and in-house |
| Cybersecurity Threat Management, Detection, and Response DHS-2426 · ICE | DHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Purchased from vendor |
| AI-Enhanced ICE Tip Processing DHS-2515 · ICE | DHS | Deployed | Not high-impact | Law Enforcement | Generative AI | Purchased from vendor |
| Media Classifier for Computer and Digital Storage Evidence DHS-2553 · ICE | DHS | Deployed | Not high-impact | Law Enforcement | Computer vision | Purchased from vendor |
| AI-Powered Developer Tools DHS-2758 · ICE | DHS | Deployed | Not high-impact | Information Technology | Generative AI | Purchased from vendor |
| Open-Source Intelligence for Investigations DHS-2759 · ICE | DHS | Deployed | Not high-impact | Law Enforcement | Generative AI | Purchased from vendor |
| Normalization Services DHS-P1 · ICE | DHS | Deployed | Not high-impact | Law Enforcement | Classical / predictive ML | Contract and in-house |
| DHS-Chat DHS-2433 · MGMT | DHS | Deployed | Not high-impact | Administrative Functions | Generative AI | Developed in-house |
| ESEC Inquiry (STORM) Summarization DHS-2453 · MGMT | DHS | Deployed | Not high-impact | Administrative Functions | Generative AI | Contract and in-house |
| AdaptiveMFA DHS-419 · MGMT | DHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| Text Analytics for Survey Responses (TASR) DHS-45 · MGMT | DHS | Deployed | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| Airport Throughput Predictive Model DHS-2432 · TSA | DHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| Geographic Current Events Real-Time Alerting Tool DHS-2518 · TSA | DHS | Deployed | Not high-impact | Transportation | Natural language processing | Purchased from vendor |
| idiCORE Subscriptions DHS-2522 · TSA | DHS | Deployed | Not high-impact | Transportation | Natural language processing | Purchased from vendor |
| AskTSA DHS-2604 · TSA | DHS | Deployed | Not high-impact | Service Delivery | Generative AI | Purchased from vendor |
| Lexis Nexis DHS-2605 · TSA | DHS | Deployed | Not high-impact | Transportation | Generative AI | Purchased from vendor |
| SITE Group Subscription Services DHS-2609 · TSA | DHS | Deployed | Not high-impact | Transportation | Natural language processing | Purchased from vendor |
| Adaptive Risk Model for Inspected Small Passenger Vessels DHS-178 · USCG | DHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| ELIS Evidence Classifier Service DHS-16 · USCIS | DHS | Deployed | Not high-impact | Service Delivery | Classical / predictive ML | Contract and in-house |
| Intelligent Document Processing (IDP) for I-539 Form Digitization DHS-2385 · USCIS | DHS | Deployed | Not high-impact | Administrative Functions | Computer vision | Contract and in-house |
| PDF Intake (PDFI) for myUSCIS DHS-2598 · USCIS | DHS | Deployed | Not high-impact | Government Benefits Processing | Generative AI | Contract and in-house |
| AI Interview Simulator for Officer Training DHS-366 · USCIS | DHS | Deployed | Not high-impact | Administrative Functions | Generative AI | Contract and in-house |
| License Plate Reader DHS-2626 · USSS | DHS | Deployed | Not high-impact | Law Enforcement | Computer vision | Purchased from vendor |
| Streamflow Duration Assessment Modeling 25 · OW | EPA | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Microsoft Power Automate (custom document processing model) 35 · OFA | EPA | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed 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 |
| Living Literature Review: Semi-automated Literature Screening 76 · OAR | EPA | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Using machine learning methods to analyze drivers of water quality 77 · AO | EPA | Deployed | Not high-impact | Energy and the Environment | Classical / predictive ML | Developed in-house |
| 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 |
| Automated Walrus Haulout Monitoring [2024 INV#WO0000000110052] DOI-0247 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| PAWSC Ecotoxicology PFAS Machine Learning [2024 INV#WO0000000112908] DOI-0238 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Delineating sub-surface drainage using satellite imagery [2024 INV#WO0000000109525] DOI-0230 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Oil Spill Response for Ice-Covered Rivers [2024 INV#WO0000000109142] DOI-0208 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Pacific Northwest Stream Flow Permanence [2024 INV#WO0000000109137] DOI-0207 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Climate Futures for Lizards and Snakes in Western North America [2024 INV#WO0000000109092] DOI-0201 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Office of Grants Management (PGM) Grants Utility Tool DOI-0180 · OS | DOI | Deployed | Not high-impact | Procurement and Financial Management | Agentic AI | Developed in-house |
| Using Machine Learning in USGS StreamStats to make suspended sediment and bedload predictions [2024 INV#WO0000000107977] DOI-0176 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Seabird and Marine Mammal Surveys Near Potential Renewable Energy Sites Offshore Central and Southern California [2024 INV#WO0000000107535] DOI-0173 · USGS | DOI | Deployed | Not high-impact | Science | Computer vision | Purchased from vendor |
| Rangeland Condition Monitoring Assessment and Projection (RCMAP) [2024 INV#WO0000000107126] DOI-0171 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| use of random forest for species distribution modeling DOI-0161 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| PRObability of Streamflow PERmanence (PROSPER models) [2024 INV#WO0000000109074] DOI-0156 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Machine Learning for automatic fracture mapping and rock identification [2024 INV#WO0000000109499] DOI-0155 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Machine Learning for Avalanche Frequency Modeling DOI-0148 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Classifying CWD-Infected Elk Using Recurrent Neural Networks on GPS Movement Data DOI-0135 · USGS | DOI | Deployed | Not high-impact | Energy and the Environment | Classical / predictive ML | Developed in-house |
| Deep?learning Integrations into NEIC Operations [2024 INV#WO0000000109496] DOI-0119 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed 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 |