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 |
|---|---|---|---|---|---|---|
| Training Conversation Tool SEC-6 · Office of Human Resources (OHR) | SEC | Deployed | Not high-impact | Human Resources | Natural language processing | Purchased from vendor |
| Using Natural Language Processing Techniques to Search and Analyze Certain Filings SEC-23 · Division of Examinations (EXAMS) | SEC | Deployed | Not high-impact | Other | Natural language processing | Contract and in-house |
| GCMD Keyword Recommender (GKR) NASA-365 · MSFC: Marshall Space Flight Center | NASA | Deployed | Not high-impact | Science | Natural language processing | Developed in-house |
| Automated Draft Narrative Reports
Previously "Automating Draft Counterparty Credit Narrative Reports"; have since expanded to general enterprise use. HUD-2024-003 · Ginnie Mae | HUD | Deployed | Not high-impact | Other | Natural language processing | Contract and in-house |
| Proposals and Public Comments FRB-0013 · Office of the Secretary | FRB | Deployed | Not high-impact | Other | Natural language processing | Developed in-house |
| Manufacturer Sentiment Analysis FRB-0016 · Division of Research and Statistics | FRB | Deployed | Not high-impact | Other | Natural language processing | Developed in-house |
| Supply Chain Estimations FRB-0017 · Division of Research and Statistics | FRB | Deployed | Not high-impact | Other | Natural language processing | Developed in-house |
| Market Fund Portfolio FRB-0022 · Division of Research and Statistics | FRB | Deployed | Not high-impact | Other | Natural language processing | Developed in-house |
| Sentiment Analysis of Earnings Transcripts FRB-0024 · Division of Monetary Affairs | FRB | Deployed | Not high-impact | Other | Natural language processing | Developed in-house |
| Anomaly Detection FRB-0025 · Division of Supervision and Regulation | FRB | Deployed | Not high-impact | Other | Natural language processing | Developed in-house |
| Consumer Complaints Explorer FRB-0026 · Division of Consumer and Community Affairs | FRB | Deployed | Not high-impact | Other | Natural language processing | Developed in-house |
| Document Summarization Statistics FRB-0034 · Division of Supervision and Regulation | FRB | Deployed | Not high-impact | Other | Natural language processing | Developed in-house |
| Comment Review System FRB-0036 · Division of Information Technology | FRB | Deployed | Not high-impact | Other | Natural language processing | Developed in-house |
| Bank Examiner Search Engine FRB-0052 · Division of Supervision and Regulation | FRB | Deployed | Not high-impact | Other | Natural language processing | Developed in-house |
| Child Welfare Information Automated Inquiry System
(Note: previously named "Child Welfare Information Gateway OneReach Application") R0606 · HHS/ACF | HHS | Deployed | Not high-impact | Service Delivery | Natural language processing | Purchased from vendor |
| Qualitative Analysis R0610 · HHS/ACF | HHS | Deployed | Not high-impact | Other | Natural language processing | Purchased from vendor |
| emPOWER AI R0630 · HHS/ASPR/ODAIA | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Sidekick Comms bot Offering User-friendly Tips (SCOUT) R0652 · HHS/CDC | HHS | Deployed | Not high-impact | Administrative Functions | Natural language processing | Contract and in-house |
| Transcribing Cognitive Interviews with Whisper R0653 · HHS/CDC | HHS | Deployed | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| Leveraging AI for Metadata Tagging for Enterprise Data Catalog of CDC R0657 · HHS/CDC | HHS | Deployed | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| The School Closure Awareness System R0659 · HHS/CDC | HHS | Deployed | Not high-impact | Emergency Management | Natural language processing | Developed in-house |
| EDAV Azure DataFactory - Pipeline failure Analysis R0671 · HHS/CDC | HHS | Deployed | Not high-impact | Administrative Functions | Natural language processing | Contract and in-house |
| 1CDP (SEDRIC) AIP for Advanced Foodborne Outbreak Investigation (AI Summarization and Receipt Reading) R0672 · HHS/CDC | HHS | Deployed | Not high-impact | Emergency Management | Natural language processing | Contract and in-house |
| MedCoder - Coding literal text cause of death information reported on death certificates to ICD-10 R0674 · HHS/CDC | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| NCIRD SmartFind ChatBots - Public and Internal R0675 · HHS/CDC | HHS | Deployed | Not high-impact | Administrative Functions | Natural language processing | Contract and in-house |
| Semi-Automated Nonresponse Detection for Surveys (SANDS) R0679 · HHS/CDC | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| DHDSP NOFO Technical Assistance Chatbot R0690 · HHS/CDC | HHS | Deployed | Not high-impact | Administrative Functions | Natural language processing | Contract and in-house |
| Text embedding analysis tool R0700 · HHS/CDC | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| Internal Newsletter Formatter Tool R0702 · HHS/CDC | HHS | Deployed | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| Publication Portfolio Analytics R0736 · HHS/CDC | HHS | Deployed | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| Feedback Analysis Solution (FAS) R0742 · HHS/CMS/CCSQ | HHS | Deployed | Not high-impact | Information Technology | Natural language processing | Developed in-house |
| CCSQ ServiceNow AI Search R0746 · HHS/CMS/CCSQ | HHS | Deployed | Not high-impact | Information Technology | Natural language processing | Purchased from vendor |
| CMS Labor Analysis Wizard (CLAW) R0753 · HHS/CMS/OAGM | HHS | Deployed | Not high-impact | Procurement and Financial Management | Natural language processing | Contract and in-house |
| AI Workspace R0755 · HHS/CMS/OIT | HHS | Deployed | Not high-impact | Information Technology | Natural language processing | Contract and in-house |
| Citation Analysis and Survey Assistant (CASA - Nursing Home Survey CMS 2567) R0756 · HHS/CMS/CCSQ | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Developed in-house |
| 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 |
| MedWatch Dashboard R0820 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Quality Surveillance Dashboard (QSD) R0821 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Renamed: Application References
Previously: Application-DMF Reference R0823 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Renamed: Extracting DMF Facilities from unstructured documents
Previously: DMF (Drug Master File) Facilities R0824 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Renamed: Information Visualization Platform (InfoViP) to Support Analysis of FAERS safety reports
Previously: Information Visualization Platform (InfoViP) to Support Analysis of adverse event reports R0825 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| CDER Publications R0836 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Science | Natural language processing | Contract and in-house |
| Creating a development network R0838 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Data Extraction from IND Safety Reports using OCR/AI Technologies R0842 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Information Technology | Natural language processing | Purchased from vendor |
| Use case package 1: Empirical application of the Sentinel EHR and claims Data Partner network to address ARIA insufficient inferential requests (UC1) R0844 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| CI5: Development and refinement of toolkits for routine use in the EHR and claims Data Partner network R0845 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Use case package 2 (UC2): Empirical application of the Sentinel EHR and claims Data Partner network to enhance ARIA insufficient inferential requests and atypical descriptive requests R0846 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| FE5: Incorporate a range of frequently used engineering features from EHRs into the Sentinel common data model in the Sentinel EHR and claims linked Data Partner network R0847 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Develop an empirical algorithm to automate negative control identification in Sentinel System using the “Data-driven Automated Negative Control Estimation (DANCE)” algorithm R0848 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
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