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 |
|---|---|---|---|---|---|---|
| Structuring Notice of Concern Data R0600 · HHS/ACF | HHS | Deployed | Presumed high-impact, determined not | Government Benefits Processing | Computer vision | Contract and in-house |
| AI-assisted comment triaging tool R0740 · HHS/CMS/CM | HHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| Docketscope Public Comment Processing R0762 · HHS/CMS/CM | HHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Purchased from vendor |
| Analytics-Driven Supplement Evaluation (ASE) R0818 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Renamed: FAR-based Facility Signal Detection Tool
Previously: Post-market Surveillance Reports Signal Detection and Cluster Analysis. R0819 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Filer Evaluation prioritization using risk-based decision Machine Learning approach R0878 · HHS/FDA/OII | HHS | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Contract and in-house |
| GrantSolutions Recipient Risk Tool R1033 · HHS/ASFR/OG | HHS | Deployed | Not high-impact | Service Delivery | Classical / predictive ML | Contract and in-house |
| 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 |
| TransUnion TLOxp Online Investigative Services DOJ-0032 · Department of Justice / ATF | DOJ | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Purchased from vendor |
| ServiceNow DOJ-0107 · Department of Justice / Department Wide | DOJ | Deployed | Not high-impact | Service Delivery | Natural language processing | Purchased from vendor |
| Prisoner Assessment Tool Targeting Estimated Risk and Needs (PATTERN) DOJ-0160 · Department of Justice / FBOP | DOJ | Deployed | Not high-impact | Law Enforcement | Classical / predictive ML | Developed in-house |
| Exiger Supply Chain Risk Management - DDIQ Research Engine DOJ-0174 · Department of Justice / JMD | DOJ | Deployed | Not high-impact | Cybersecurity | Generative AI | Purchased from vendor |
| Exiger Supply Chain Risk Management - DDIQ Due Diligence Analytics DOJ-0175 · Department of Justice / JMD | DOJ | Deployed | Not high-impact | Cybersecurity | Generative AI | Purchased from vendor |
| Procurement Data Triage Tool DOJ-0267 · Department of Justice / FBI | DOJ | Deployed | Not high-impact | Administrative Functions | Natural language processing | Purchased from vendor |
| Agriculture Commodity Model (AGC) DHS-86 · CBP | DHS | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Developed in-house |
| Trade Entity Risk Model DHS-95 · CBP | DHS | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Developed in-house |
| User and Entity Behavior Analytics (UEBA) DHS-2434 · MGMT | DHS | Deployed | Presumed high-impact, determined not | Administrative Functions | Classical / predictive ML | Purchased from vendor |
| 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 |
| Cargo Classification Tool DHS-94 · CBP | DHS | Deployed | Not high-impact | Law Enforcement | Classical / predictive ML | Developed in-house |
| Critical Infrastructure Network Anomaly Detection DHS-106 · CISA | DHS | Deployed | Not high-impact | Cybersecurity | Classical / predictive ML | Developed in-house |
| Adaptive Risk Model for Inspected Small Passenger Vessels DHS-178 · USCG | DHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| Network Security and Analysis DOE-347 · IM-60 - IM Enterprise Operations and Shared Services (IM) | DOE | Deployed | Not high-impact | Cybersecurity | Classical / predictive ML | Purchased from vendor |
| Heuristic Behavior Analytics VA-25-2537 · OIT: Office of Information & Technology | VA | Deployed | High-impact | Cybersecurity | Classical / predictive ML | Purchased from vendor |
| AIDOC BriefCase VA-24-1803 · VHA: Veterans Health Administration | VA | Deployed | High-impact | Health and Medical | Computer vision | Purchased from vendor |
| VA CART SYNTAX Risk Model VA-24-5542 · VHA: Veterans Health Administration | VA | Deployed | High-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| VA CART Mortality Model VA-24-5583 · VHA: Veterans Health Administration | VA | Deployed | High-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| VA CART Nephropathy Risk Model VA-24-5624 · VHA: Veterans Health Administration | VA | Deployed | High-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| VA CART Bleeding Risk Model VA-24-5788 · VHA: Veterans Health Administration | VA | Deployed | High-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Avicenna CINA VA-24-3373 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Computer vision | Purchased from vendor |
| ValidateNow VA-25-5322 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Procurement and Financial Management | Generative AI | Contract and in-house |
| Risk Rating Model FRB-0050 · Division of Supervision and Regulation | FRB | Pilot | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Data Triage and Processing DOJ-0305 · Department of Justice / FBI | DOJ | Pilot | Not high-impact | Law Enforcement | Computer vision | Purchased from vendor |
| AI-Enhanced Facility Finder 75 · OECA | EPA | Pilot | Not high-impact | Law Enforcement | Computer vision | Developed in-house |
| Everlaw AI Assistant for Responsive Review DOI-0170 · OCIO | DOI | Pilot | Not high-impact | Administrative Functions | Agentic AI | Contract and in-house |
| Secure Access Service Edge (SASE) VA-25-6479 · OIT: Office of Information & Technology | VA | Pilot | High-impact | Cybersecurity | Classical / predictive ML | Purchased from vendor |
| Categorization and Labelling Administrative Requests VA-25-5101 · OIT: Office of Information & Technology | VA | Pilot | Not high-impact | Administrative Functions | Generative AI | Developed in-house |
| AI Incident Management VA-25-651 · OIT: Office of Information & Technology | VA | Pilot | Not high-impact | Information Technology | Classical / predictive ML | Purchased from vendor |
| MPD Entity Risk Modeling CFTC-004 · MPD | CFTC | Pilot | Not reported | Not reported | Not reported | Not reported |
| Large Language Model analysis for the Tips, Complaints and Referrals (TCR) system SEC-37 · Division of Enforcement (ENF) | SEC | Pre-deployment | Not high-impact | Service Delivery | Generative AI | Not reported |
| RAMjET: RApid Machine lEarned Triage - AI to classify astrophysical phenomena in photometric lightcurves NASA-182 · GSFC: Goddard Space Flight Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| MATISSE: MAchine inTelligence for Small SatellitEs - application of AI to permit autonomic science triage for small, power starved satellites NASA-646 · GSFC: Goddard Space Flight Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Financial System Data Analysis FRB-0051 · Division of Financial Stability | FRB | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Not reported |
| AI identification of "High-Risk" Health Centers R0898 · HHS/HRSA | HHS | Pre-deployment | Not high-impact | Administrative Functions | Generative AI | Not reported |
| Risk Identification and Response FDIC – 42 · Division of Finance | FDIC | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Not reported |
| Narrative Analysis for Fusion Desktop DOJ-0190 · Department of Justice / JMD / OCDETF | DOJ | Pre-deployment | High-impact | Law Enforcement | Natural language processing | Not reported |
| Narrative Analysis for DOJ MIS DOJ-0191 · Department of Justice / JMD / OCDETF | DOJ | Pre-deployment | High-impact | Law Enforcement | Natural language processing | Not reported |
| Object Detection Tool 2 DOJ-0276 · Department of Justice / FBI | DOJ | Pre-deployment | Not high-impact | Law Enforcement | Computer vision | Not reported |
| Entity Extraction and Summarization DOJ-0300 · Department of Justice / FBI | DOJ | Pre-deployment | Not high-impact | Law Enforcement | Natural language processing | Not reported |
| Data Triage DOJ-0306 · Department of Justice / FBI | DOJ | Pre-deployment | Not high-impact | Administrative Functions | Generative AI | Not reported |
| AI-Enabled Workflow Automation DOJ-0335 · Department of Justice / CIV | DOJ | Pre-deployment | High-impact | Law Enforcement | Natural language processing | Not reported |
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