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Improve ASSIST Application Help

The AI is intended to solve the problem of users needing to sift through multiple documents to find help for specific ASSIST system functionalities. It aims to modernize applicati…

ASSIST Global Search and Inference

The AI is intended to solve the problem of inefficient information retrieval within the ASSIST system, where users currently spend up to 5 minutes per search due to a basic keywor…

ASSIST Auto Copy and Summarize

The AI is intended to solve the problem of significant manual effort and time spent on data entry within the end-to-end acquisition workflow, where data is received in various fil…

ASSIST ECF Autoclassification and Summary

The AI is intended to solve the problem of manual document review and categorization by Contracting Officers (COs) within the ASSIST Electronic Contract File (ECF) system. Current…

Leveraging Retrieval Augmented Generation (RAG) AI to Power Outcome-Based Contracting

The AI is intended to solve the problem of federal acquisition teams struggling to write clear, concise, outcome-based requirements, which often leads to incomplete or undesirable…

SINSpector: Using Generative AI to Enforce Scope and Compliance

The AI, named SINSpector, is intended to solve the problem of efficiently and accurately identifying prohibited or out-of-scope items listed on GSA Advantage, as well as determini…

Content Management Analysis System Pilot

The AI is intended to solve the problem of automating data extraction from PDF, Excel, and Word documents stored in an isolated data lake. It aims to develop a prototype web appli…

Acquisition Analytics

This AI is intended to solve the problem of classifying transactions within the Government-wide Category Management Taxonomy, which helps category managers accurately view the dis…

Category Taxonomy Refinement Using NLP

The AI is designed to address the challenge of maintaining an accurate, scalable, and contextually relevant taxonomy classification system for agency data. Traditional manual clas…

FAS Catalog Platform - Virtual Assistant

The AI is intended to solve the problem of users struggling to quickly find help and support documentation within the extensive FCP system. Currently, users often resort to contac…

AI-Powered Visibility for Supply and Vendor Risk Resilience

The AI system is designed to solve the problem of managing risks in the federal supply chain and with third-party vendors by transforming traditional reactive risk management into…

AI in Public Experience (PX) Contact Center Services Blanket Purchase Agreement (BPA)

The AI is intended to solve the problem of high call, email, and chat volumes within the Public Experience (PX) Contact Center (CC) program, which currently handles over 2 million…

LaborMatch IQ - Efficient Services Pricing Market Research

The AI is intended to solve the problem of inefficient and ineffective services pricing market research. By leveraging a RAG (Retrieval-Augmented Generation) AI capability, the sy…

Login.gov: artificial intelligence technology used for detecting and mitigating fraud for remote unsupervised identity verification

The AI is intended to solve the problem of detecting and mitigating fraud, spoofing, or deepfakes introduced by the remote identity proofing process. Specifically, it aims to comp…

Enterprise Management Program Management Office Chatbot

The AI is intended to solve the problem of efficiently answering a wide range of compliance-related questions from across the organization, which currently consume significant tea…