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 |
|---|---|---|---|---|---|---|
| CBP Translate DHS-2388 · CBP | DHS | Deployed | High-impact | Law Enforcement | Natural language processing | Contract and in-house |
| Hurricane Score DHS-2408 · ICE | DHS | Deployed | High-impact | Law Enforcement | Classical / predictive ML | Developed in-house |
| ServiceNow Predictive Intelligence DOE-430 · LANL - Los Alamos National Lab (LAFO) | DOE | Deployed | Not high-impact | Information Technology | Generative AI | Purchased from vendor |
| NLCOO AI for Lessons Learned tool DOE-434 · LANL - Los Alamos National Lab (LAFO) | DOE | Deployed | Not high-impact | Other | Natural language processing | Developed in-house |
| Hanford Ai Liaison (HAL) 1.1 DOE-469 · RL - Hanford - Richland Operations Office - Hanford (EM) | DOE | Deployed | Not high-impact | Administrative Functions | Generative AI | Developed in-house |
| LANL AI Portal DOE-495 · LANL - Los Alamos National Lab (LAFO) | DOE | Deployed | Not high-impact | Administrative Functions | Generative AI | Developed in-house |
| ChatGPT Enterprise DOE-498 · LANL - Los Alamos National Lab (LAFO) | DOE | Deployed | Not high-impact | Administrative Functions | Generative AI | Purchased from vendor |
| GitHub Co-Pilot DOE-571 · RL - Hanford - Richland Operations Office - Hanford (EM) | DOE | Deployed | Not high-impact | Information Technology | Generative AI | Purchased from vendor |
| Invoice Scanning System DOE-632 · RL - Hanford - Richland Operations Office - Hanford (EM) | DOE | Deployed | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Developed in-house |
| Chatbots for internal research SBA-11 · Advocacy: Office of Advocacy | SBA | Pilot | Not high-impact | Administrative Functions | Generative AI | Purchased from vendor |
| General AI Use Case across the SBA for web and desktop SBA-22 · OCIO: Office of the Chief Information Officer | SBA | Pilot | Not high-impact | Administrative Functions | Generative AI | Purchased from vendor |
| Email, Document, and Composing AI Editor SBA-23 · OCPL: Office of Communications & Public Liaison | SBA | Pilot | Not high-impact | Service Delivery | Classical / predictive ML | Purchased from vendor |
| Microsoft Co-Pilot DOE-518 · RL - Hanford - Richland Operations Office - Hanford (EM) | DOE | Pilot | Not high-impact | Administrative Functions | Generative AI | Purchased from vendor |
| Customer Response SBA-10 · OFO: Office of Field Operations | SBA | Pre-deployment | Not high-impact | Administrative Functions | Generative AI | Purchased from vendor |
| Office of Field Operations AI - Chat GTP, Bing CoPilot, or Google Gemini SBA-12 · OFO: Office of Field Operations | SBA | Pre-deployment | Not high-impact | Service Delivery | Generative AI | Purchased from vendor |
| Gemini AI for Strategic Planning SBA-16 · OFO: Office of Field Operations | SBA | Pre-deployment | Not high-impact | Service Delivery | Generative AI | Purchased from vendor |
| Security Team Productivity Enhancement SBA-21 · OCIO: Office of the Chief Information Officer | SBA | Pre-deployment | Not high-impact | Cybersecurity | Generative AI | Purchased from vendor |
| Employee Work Prioritization AI Agent SBA-25 · OCIO: Office of the Chief Information Officer | SBA | Pre-deployment | Not high-impact | Administrative Functions | Generative AI | Purchased from vendor |
| ChatSRS DOE-638 · SRS - ESB - Savannah River Site - Enterprise System Boundary | DOE | Pre-deployment | Not high-impact | Administrative Functions | Generative AI | Developed in-house |
| Hanford Ai Liaison (HAL) 2.0 DOE-653 · RL - Hanford - Richland Operations Office - Hanford (EM) | DOE | Pre-deployment | Not high-impact | Administrative Functions | Generative AI | Developed in-house |
| GovCon Match SBA-17 · OCIO: Office of the Chief Information Officer | SBA | Retired | Not high-impact | Service Delivery | Classical / predictive ML | Developed in-house |
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