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 |
|---|---|---|---|---|---|---|
| Coordinated Care Tracking System (CCTS) Generative AI Support VA-25-2209 · VHA: Veterans Health Administration | VA | Deployed | High-impact | Health and Medical | Natural language processing | Purchased from vendor |
| eDiscovery (VASI 2460): Predictive Coding VA-25-3234 · OIT: Office of Information & Technology | VA | Deployed | Not high-impact | Administrative Functions | Natural language processing | Purchased from vendor |
| CHAMPVA Automation VA-25-967 · OIT: Office of Information & Technology | VA | Deployed | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| Customer Sentiment VA-25-5163 · VBA: Veterans Benefits Administration | VA | Deployed | Not high-impact | Human Resources | Natural language processing | Developed in-house |
| Medallia Software as a Service (SaaS) - VSignals and ESignals VA-24-954 · VEO: Veterans Experience Office | VA | Deployed | Not high-impact | Service Delivery | Natural language processing | Contract and in-house |
| ReflexAI VA-24-2348 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| App feedback model for NLP tasks VA-24-2426 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Service Delivery | Natural language processing | Developed in-house |
| App Feedback categorization model VA-24-2672 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Service Delivery | Natural language processing | Developed in-house |
| VA Supply Chain Knowledge Management Dashboard VA-24-3045 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| Human-Centered Design (HCD) User Feedback Summary, Analysis, and Design VA-24-3164 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| Dragon Medical One VA-24-4148 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Natural language processing | Purchased from vendor |
| Deep-Learning approaches to develop candidate lists of terms for use in text searches VA-24-4193 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| Identify access to genetic testing in Veterans with breast cancer. VA-24-4472 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| VA CART Myocardial Ischemia NLP VA-24-5665 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| VA CART Ejection Fraction NLP VA-24-5706 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| Limited Use of Azure Speech Services in PETALS Platform VA-24-913 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Hospital Acquired Infections VA-25-2291 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Natural language processing | Purchased from vendor |
| Use of Large Language Models to improve classification of identified text snippets from the CLEVER natural language processing pipeline VA-25-3043 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| Acquisition Analytics R1161 | GSA | Deployed | Not reported | Procurement and Financial Management | Natural language processing | Not reported |
| Category Taxonomy Refinement Using NLP R1162 | GSA | Deployed | Not reported | Other | Natural language processing | Not reported |
| ServiceNow Virtual Agent (Curie) R1184 | GSA | Deployed | Not reported | Service Delivery | Natural language processing | Not reported |
| GovCXAnalyzer R1187 | GSA | Deployed | Not reported | Service Delivery | Natural language processing | Not reported |
| No-Code Text and Sentiment Analysis with XM Discover R1192 | GSA | Deployed | Not reported | Service Delivery | Natural language processing | Not reported |
| Solicitation Review Tool (SRT) R1193 | GSA | Deployed | Not reported | Procurement and Financial Management | Natural language processing | Not reported |
| Voice to text transcription NTSB-0001 · NTSB | NTSB | Pilot | Not high-impact | Other | Natural language processing | Contract and in-house |
| FOIAXpress AI assistant NTSB-0004 · NTSB | NTSB | Pilot | Not high-impact | Administrative Functions | Natural language processing | Purchased from vendor |
| Data Fracking (HRP) NASA-488 · JSC: Johnson Space Center | NASA | Pilot | Not high-impact | Science | Natural language processing | Developed in-house |
| Using LLMS for Documents and Requirements Analysis NASA-712 · JPL: Jet Propulsion Laboratory | NASA | Pilot | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| Financial News Processing FRB-0032 · Division of Supervision and Regulation | FRB | Pilot | Not high-impact | Other | Natural language processing | Developed in-house |
| Trading Desk Grouping FRB-0037 · Division of Supervision and Regulation | FRB | Pilot | Not high-impact | Other | Natural language processing | Developed in-house |
| AIP Cyber Incident Ingestion R0632 · HHS/ASPR/CP | HHS | Pilot | Not high-impact | Cybersecurity | Natural language processing | Developed in-house |
| Automated Analysis of Injury Control Research Center (ICRC) Annual Progress Reports (APRs) using Large Language Models R0639 · HHS/CDC | HHS | Pilot | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| Detecting Stimulant and Opioid Misuse and Illicit Use R0640 · HHS/CDC | HHS | Pilot | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| DHP Virtual Assistant R0641 · HHS/CDC | HHS | Pilot | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| Fuzzy matching tool R0642 · HHS/CDC | HHS | Pilot | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| Reviewing Global Influenza Vaccine Literature R0643 · HHS/CDC | HHS | Pilot | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| LaserAI R0647 · HHS/CDC | HHS | Pilot | Not high-impact | Health and Medical | Natural language processing | Purchased from vendor |
| Portfolio Analytics R0649 · HHS/CDC | HHS | Pilot | Not high-impact | Science | Natural language processing | Developed in-house |
| RAPID Analysis of Policy and Program Documents (RAPID) R0650 · HHS/CDC | HHS | Pilot | Not high-impact | Administrative Functions | Natural language processing | Contract and in-house |
| Use of Natural Language Processing for Topic Modeling to Automate Review of Public Comments to Notice of Proposed Rulemaking R0654 · HHS/CDC | HHS | Pilot | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| School LLM initial abstract review process R0668 · HHS/CDC | HHS | Pilot | Not high-impact | Administrative Functions | Natural language processing | Contract and in-house |
| DLS AI Assistant tool R0692 · HHS/CDC | HHS | Pilot | Not high-impact | Administrative Functions | Natural language processing | Contract and in-house |
| Using LLM to optimize National Health Interview Survey (NHIS) case note information R0710 · HHS/CDC | HHS | Pilot | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| Federal Select Agents Program (FSAP) Customer Agent R0735 · HHS/CDC | HHS | Pilot | Not high-impact | Information Technology | Natural language processing | Developed in-house |
| Complaint Analysis R0747 · HHS/CMS/OPOLE | HHS | Pilot | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| Content Analysis POC R0769 · HHS/CMS/OIT | HHS | Pilot | Not high-impact | Information Technology | Natural language processing | Developed in-house |
| RFI Comment Analysis POC R0789 · HHS/CMS/OIT | HHS | Pilot | Not high-impact | Information Technology | Natural language processing | Developed in-house |
| AI Agent Orchestrator POC R0790 · HHS/CMS/OIT | HHS | Pilot | Not high-impact | Information Technology | Natural language processing | Contract and in-house |
| SAM.gov RFI Comment Analysis POC R0796 · HHS/CMS/OIT | HHS | Pilot | Not high-impact | Information Technology | Natural language processing | Developed in-house |
| MFT UI Chatbot R0804 · HHS/CMS/CCIIO | HHS | Pilot | Not high-impact | Information Technology | Natural language processing | Developed in-house |