Counterparty Risk Anomaly Detection
Ginnie Mae is responsible for analyzing counterparty risk profiles of mortgage issuers who participate in Ginnie Mae’s program. Ginnie Mae analyzes data from multiple sources to i…
Subledger Data Quality Machine Learning
Ginnie Mae analyzes Master Sub-Servicer (MSS) transaction data on a monthly cadence. The AI solution allows Ginnie Mae to detect anomalies in this data that would not be detecte…
Automated Draft Narrative Reports Previously "Automating Draft Counterparty Credit Narrative Reports"; have since expanded to general enterprise use.
Ginnie Mae uses Natural Language Generation (NLG) to implement coded rules and generate draft narratives/memos. This application of AI enables processing efficiency and reduces er…
Voice of the Customer
The Office of the Chief Financial Officer, Customer Experience Team works across the department to develop a deep understanding of who our customers are and how we can best serve…
Quantitative Text Analysis
Translation of Digital Media
Microsoft Copilot
To support the HUD Secretary's directive to improve efficiency, HUD has a need to offer office productivity tools and capabilities. This would include the ability to automate repe…
Amazon Textract for automatic signature identification
The Homeownership Center (HOC) staff is required to review and validate each Case Binder.
Email Assistant
The Federal Housing Administration (FHA) Resource Center is receiving a surge of an unprecedented number of emails requests in the contact center and needs a way to reduce the ema…
CAISY - Workforce Training Conversation Simulator
CAISY is designed to solve the challenge of helping employees practice and improve difficult workplace conversations in a safe, realistic environment.
FHA Resource Center Chatbot
Expanding the ability to answer calls with a Virtual Assistance Chatbot and Voice Bot on the Interactive Voice Response system 24/7 at the Federal Housing Administration (FHA) Res…
AI-Enabled Automated Visual Inspection for Mint Product Quality Assurance in Production Lines
The system is intended to automate the visual inspection of product (e.g., coins) on production lines to identify defects, inconsistencies, or anomalies that affect product qualit…
AI-Driven Predictive Maintenance for Mint Manufacturing Equipment and Production Assets
The system is intended to identify patterns in equipment performance and lifecycle data to predict mechanical failures before they occur. Currently, maintenance relies on fixed sc…
Generative AI Solutions for Workplace Productivity (aka Gemini)
The AI is intended to improve employee productivity by providing smarter tools for employees to summarize, draft, and navigate operational records.
A1 Museum AI Project
The AI is intended to solve the problem of limited document discoverability and intensive manual labor by using automated tagging to personalize the visitor experience and make mi…
NARA@WORK Kendra Search
The AI is intended to solve the problem of inefficient employee information discovery by replacing outdated keyword search with a natural language system that provides instant, co…
Amelia Earhart AI Search
The AI is intended to solve the manual search limitations when processing massive historical datasets by using Natural Language Processing to accurately locate and declassify spec…
AI Pilot Project to Screen and Flag for Personally Identifiable Information (PII) in Digitized Archival Records
The AI is intended to solve the problem of manual processing bottlenecks and privacy risks by automating the identification and redaction of sensitive personal information within…
AI based Semantic Search for National Archives Catalog (aka ArchiAI)
The AI is intended to solve the problem of "unsophisticated" keyword-based search limitations by implementing semantic search that understands user intent and historical context,…
Auto-fill of Descriptive Metadata for Archival Descriptions
The AI is intended to solve the problem of the "descriptive gap" created by labor-intensive manual cataloging by automatically generating metadata and summaries from document cont…
Topic Summarizer and Entity Extraction using AI
The AI is intended to solve the problem of unsearchable digital collections caused by massive descriptive backlogs, automating the creation of metadata for billions of digital obj…
Create an AI based knowledge articles user interface for working with CRG documents
The AI is intended to improve the case processing by providing staff with an automated retrieval tool that navigates the complex Case Reference Guide to deliver instant, accurate…
EOP 42 Search PoC using AI Based Semantic Search
The AI is intended to solve the problem of inefficient information retrieval within Presidential email archives by testing whether AI-driven semantic search can understand context…
Freedom of Information Act (FOIA) Discovery AI Pilot
The AI is intended to solve the problem of larger FOIA backlogs and manual review bottlenecks by automating the discovery of relevant records and the redaction of sensitive data,…