GreatNorthCollective/greatnorth-us-federal-ai-inventory huggingface dataset:
US federal AI use case: Generative AI - Text Generation
Agency: Department of Education - Contracts & Acquisitions Management
Problem addressed: Responsible for the solicitation, award, administration, and closeout of all contracts and other acquisition instruments, except for Office of Federal Student Aid procurements and some simplified acquisitions and General Services Administration schedule orders.
Purpose and benefits: AI generates summaries and outlines for projects and presentations, helping to organize key points and structure content effectively. This assists users in quickly preparing for discussions, reports, or presentations by focusing on the most relevant information.
US federal AI use case: Aidan Chat-bot
Agency: Department of Education - Federal Student Aid
Problem addressed: Manages programs authorized under the Higher Education Act of 1965 including financial aid for students attending higher education programs.
Purpose and benefits: Federal Student Aid's (FSA) virtual assistant uses natural language processing to answer common financial aid questions and help customers get information about their federal aid on StudentAid.gov.
In just over two years, Aidan has interacted with over 2.6 million unique customers, resulting in more than 11 million user messages.
US federal AI use case: Generative AI and Foundation Model Integration
Agency: Department of Education - Federal Student Aid
Problem addressed: Manages programs authorized under the Higher Education Act of 1965 including financial aid for students attending higher education programs.
Purpose and benefits: AWS Bedrock enables organizations to build and scale applications powered by foundation models, supporting use cases such as text generation, summarization, conversational AI, personalization, and content creation, with seamless integration into existing AWS services and infrastructure.
US federal AI use case: Generative AI - Code Generation
Agency: Department of Education - Federal Student Aid
Problem addressed: Manages programs authorized under the Higher Education Act of 1965 including financial aid for students attending higher education programs.
Purpose and benefits: When given written paragraphs as prompts, AI generates code snippets in a variety of programming languages. This capability allows users to quickly obtain relevant code tailored to their specific requirements.
US federal AI use case: Generative AI - Idea Suggestion
Agency: Department of Education - Federal Student Aid
Problem addressed: Manages programs authorized under the Higher Education Act of 1965 including financial aid for students attending higher education programs.
Purpose and benefits: When prompted with written paragraphs, AI suggests possible courses of actions for given scenarios.
US federal AI use case: Generative AI - Information Summarization
Agency: Department of Education - Federal Student Aid
Problem addressed: Manages programs authorized under the Higher Education Act of 1965 including financial aid for students attending higher education programs.
Purpose and benefits: When provided with publicly available documents or articles, AI extracts key points, generates summaries, and identifies relevant action items. This helps users quickly grasp the essential information and determine next steps without having to read the entire content.
US federal AI use case: Generative AI - Text Generation
Agency: Department of Education - Federal Student Aid
Problem addressed: Manages programs authorized under the Higher Education Act of 1965 including financial aid for students attending higher education programs.
Purpose and benefits: When provided with outlines or ideas, AI provides sample paragraphs that may be used to assist in the writing process
US federal AI use case: Generative AI - Code Generation
Agency: Department of Education - Grants Management Policy Division
Problem addressed: Coordinates with all components of ED to develop and institute Department-wide grant policies and procedures for formula and discretionary grants management.
Purpose and benefits: When given written paragraphs as prompts, AI generates code snippets in a variety of programming languages. This capability allows users to quickly obtain relevant code tailored to their specific requirements.
US federal AI use case: Generative AI - Design Generation
Agency: Department of Education - Grants Management Policy Division
Problem addressed: Coordinates with all components of ED to develop and institute Department-wide grant policies and procedures for formula and discretionary grants management.
Purpose and benefits: AI will create paragraphs and images to augment visual designs for web design and communication.
US federal AI use case: Generative AI - Code Generation
Agency: Department of Education - Institute of Education Sciences
Problem addressed: The nation's leading source for rigorous, independent education research, evaluation, and statistics.
Purpose and benefits: Assisting in the development of code used for data analysis, AI is given descriptions of desired functions and returns snippets of R code.
US federal AI use case: Generative AI - Code Generation
Agency: Department of Education - Institute of Education Sciences
Problem addressed: The nation's leading source for rigorous, independent education research, evaluation, and statistics.
Purpose and benefits: When prompted with SAS Syntax, AI will provide suggestions of code optimization opportunities.
US federal AI use case: Generative AI - Text Generation
Agency: Department of Education - Institute of Education Sciences
Problem addressed: The nation's leading source for rigorous, independent education research, evaluation, and statistics.
Purpose and benefits: When provided with outlines or ideas, AI provides sample paragraphs that may be used to assist in the writing process
US federal AI use case: Generative AI - Code Generation
Agency: Department of Education - Office for Civil Rights
Problem addressed: Responsible for overall leadership for the Department in its communications and outreach activities. These activities are designed to engage the general public, including a wide variety of education, community, business, parent, student, and other organizations, in the U.S. Department of Education's mission.
Purpose and benefits: AI is used to create sample DAX code to assist in the creation of charts and tables for data analysis.
US federal AI use case: Generative AI - Text Generation
Agency: Department of Education - Office for Civil Rights
Problem addressed: Responsible for overall leadership for the Department in its communications and outreach activities. These activities are designed to engage the general public, including a wide variety of education, community, business, parent, student, and other organizations, in the U.S. Department of Education's mission.
Purpose and benefits: AI is provided with publicly available examples of document structures and is prompted to generate new documents based on these formats. This assists in the creation of  consistent, well-organized documents that adhere to established structures, making content creation more efficient and standardized.
US federal AI use case: Generative AI - Text Generation
Agency: Department of Education - Office of Career, Technical, and Adult Education
Problem addressed: Administers, coordinates programs that are related to adult education and literacy, career and technical education, and community colleges.
Purpose and benefits: AI provides examples of the latest technologies that can aid in the development of code. By analyzing current trends and tools, AI suggests relevant technologies, frameworks, and libraries that can enhance coding efficiency, improve performance, and streamline development processes.
US federal AI use case: Generative AI - Text Generation
Agency: Department of Education - Office of Career, Technical, and Adult Education
Problem addressed: Administers, coordinates programs that are related to adult education and literacy, career and technical education, and community colleges.
Purpose and benefits: AI is provided with publicly available images and tasked with describing them to ensure 508 accessibility compliance, generating detailed, clear descriptions of the images to make them accessible to individuals with visual impairments, meeting accessibility standards for digital content.
US federal AI use case: Generative AI - Text Generation
Agency: Department of Education - Office of Communications and Outreach
Problem addressed: Responsible for overall leadership for the Department in its communications and outreach activities. These activities are designed to engage the general public, including a wide variety of education, community, business, parent, student, and other organizations, in the U.S. Department of Education's mission.
Purpose and benefits: AI is used to assist with message communication in written paragraphs, crafting text designed to capture the attention of viewers. By analyzing tone, structure, and content relevance, AI helps generate compelling and engaging messages that resonate with the target audience.
US federal AI use case: Generative AI - Text Generation
Agency: Department of Education - Office of Educational Technology
Problem addressed: Develops educational technology policy and establishes strategies for encouraging the development and use of educational technology.
Purpose and benefits: AI is used to generate text for many uses, including: sample drafts for emails, potential blog posts for schools and districts, and social media posts, titles, blogs, and webinars.
US federal AI use case: Generative AI - Code Generation
Agency: Department of Education - Office of Elementary and Secondary Education
Problem addressed: To empower States, districts, and other organizations to meet the diverse needs of every student by providing leadership, technical assistance, and financial support.
Purpose and benefits: When prompted with descriptive paragraphs or specific queries, AI generates code snippets designed to assist with data analysis and troubleshooting in Power BI and Python. These snippets can include tasks such as creating data visualizations, performing data transformations, writing DAX expressions for Power BI, or debugging Python scripts.
US federal AI use case: Generative AI - Information Summarization
Agency: Department of Education - Office of Elementary and Secondary Education
Problem addressed: To empower States, districts, and other organizations to meet the diverse needs of every student by providing leadership, technical assistance, and financial support.
Purpose and benefits: AI is used to search publicly available awards and progress reports to identify trends in specific programs and provide summary narratives
US federal AI use case: Generative AI - Text Generation
Agency: Department of Education - Office of Elementary and Secondary Education
Problem addressed: To empower States, districts, and other organizations to meet the diverse needs of every student by providing leadership, technical assistance, and financial support.
Purpose and benefits: AI provides public policy analysis, templates for written materials, sample paragraphs, and drafts of memos by utilizing publicly available data. This helps streamline the creation of policy documents, reports, and communications, ensuring they are well-informed and aligned with current trends and regulations.
US federal AI use case: IPAC RPA Bot
Agency: Department of Education - Office of Finance and Operations
Problem addressed: To transform the Department into a high-performance, customer-focused organization by providing services to our customers that help them do a better job of managing their people, processes, and overall strategy.
Purpose and benefits: The IPAC Workflow bot downloads a date range csv file from the Treasury's IPAC system, adjusts the entries to fit the ED system, and uploads them to the ED SharePoint sites and the Financial system.
US federal AI use case: CAISY - Artificial Intelligence System Skillsoft Percipio Assessment for the Department Use
Agency: Department of Education - Office of Finance and Operations
Problem addressed: To transform the Department into a high-performance, customer-focused organization by providing services to our customers that help them do a better job of managing their people, processes, and overall strategy.
Purpose and benefits: CAISY is designed to enhance decision-making and operational efficiency by delivering real-time insights, predictive analytics, and intelligent automation. By streamlining repetitive tasks and improving situational awareness, it helps organizations reduce costs, boost productivity, and make more accurate, data-driven decisions.
US federal AI use case: Generative AI - Capability Evaluation
Agency: Department of Education - Office of Finance and Operations
Problem addressed: To transform the Department into a high-performance, customer-focused organization by providing services to our customers that help them do a better job of managing their people, processes, and overall strategy.
Purpose and benefits: Using AI, a study is performed identifying places where AI is commonly used to improve business processes.
US federal AI use case: Generative AI - Code Generation
Agency: Department of Education - Office of Finance and Operations
Problem addressed: To transform the Department into a high-performance, customer-focused organization by providing services to our customers that help them do a better job of managing their people, processes, and overall strategy.
Purpose and benefits: When prompted with descriptive paragraphs or specific queries, AI generates code snippets designed to assist with data analysis and data visualizations.
US federal AI use case: Generative AI - Text Generation
Agency: Department of Education - Office of Finance and Operations
Problem addressed: To transform the Department into a high-performance, customer-focused organization by providing services to our customers that help them do a better job of managing their people, processes, and overall strategy.
Purpose and benefits: Paragraphs are generated, assisting employees in project plan documentation, writing program communications and offerings, and identifying potential learning materials
US federal AI use case: Generative AI - Capability Evaluation
Agency: Department of Education - Office of Postsecondary Education
Problem addressed: Works to strengthen the capacity of colleges and universities to promote reform, innovation and improvement in postsecondary education, promote and expand access to postsecondary education and increase college completion rates for America’s students.
Purpose and benefits: AI systems are tested to assess the range and depth of information they can provide on Congressional Directives, ensuring the AI comprehensively covers relevant topics and delivers accurate and contextually appropriate insights.
US federal AI use case: Generative AI - Code Generation
Agency: Department of Education - Office of Postsecondary Education
Problem addressed: Works to strengthen the capacity of colleges and universities to promote reform, innovation and improvement in postsecondary education, promote and expand access to postsecondary education and increase college completion rates for America’s students.
Purpose and benefits: Using AI, the creation of Excel Macros and Complex Formulae is automated, expediting data analysis.
US federal AI use case: Generative AI - Idea Suggestion
Agency: Department of Education - Office of Postsecondary Education
Problem addressed: Works to strengthen the capacity of colleges and universities to promote reform, innovation and improvement in postsecondary education, promote and expand access to postsecondary education and increase college completion rates for America’s students.
Purpose and benefits: AI is used to research and synthesize topics for deeper discussion, brainstorm project ideas, and explore potential use cases for educators or department stakeholders
US federal AI use case: Generative AI - Information Summarization
Agency: Department of Education - Office of Postsecondary Education
Problem addressed: Works to strengthen the capacity of colleges and universities to promote reform, innovation and improvement in postsecondary education, promote and expand access to postsecondary education and increase college completion rates for America’s students.
Purpose and benefits: Public AI tools are used to summarize publicly available documents form various federal sources, and identify sections of text relevant to specified topics.
US federal AI use case: Generative AI - Text Generation
Agency: Department of Education - Office of Postsecondary Education
Problem addressed: Works to strengthen the capacity of colleges and universities to promote reform, innovation and improvement in postsecondary education, promote and expand access to postsecondary education and increase college completion rates for America’s students.
Purpose and benefits: AI tools generate drafts of narratives, marketing materials, public webinar scripts, and engagement-related documents. These drafts streamline the creation of content by providing well-structured, relevant text that can be customized for specific communication and outreach needs.
US federal AI use case: Generative AI - Capability Evaluation
Agency: Department of Education - Office of Special Education and Rehabilitee Services
Problem addressed: To improve early childhood, educational, and employment outcomes and raise expectations for all people with disabilities, their families, their communities, and the nation.
Purpose and benefits: AI is tested to provide a review of the potential uses of AI and to provide a comprehensive understanding of the tools.
US federal AI use case: Generative AI - Image Generation
Agency: Department of Education - Office of Special Education and Rehabilitee Services
Problem addressed: To improve early childhood, educational, and employment outcomes and raise expectations for all people with disabilities, their families, their communities, and the nation.
Purpose and benefits: AI is prompted to create images, icons, and other visual aids representing the Team Values created by OSERS teams.
US federal AI use case: Generative AI - Information Summarization
Agency: Department of Education - Office of Special Education and Rehabilitee Services
Problem addressed: To improve early childhood, educational, and employment outcomes and raise expectations for all people with disabilities, their families, their communities, and the nation.
Purpose and benefits: AI tools provide summaries of accomplishment reports in scholarly and leadership fields
US federal AI use case: Generative AI - Information Summarization
Agency: Department of Education - Office of Special Education and Rehabilitee Services
Problem addressed: To improve early childhood, educational, and employment outcomes and raise expectations for all people with disabilities, their families, their communities, and the nation.
Purpose and benefits: AI tools provide summaries of publicly available assistance materials, publicly shared materials, and public development programs
US federal AI use case: Generative AI - Code Generation
Agency: Department of Education - Office of Special Education and Rehabilitee Services
Problem addressed: To improve early childhood, educational, and employment outcomes and raise expectations for all people with disabilities, their families, their communities, and the nation.
Purpose and benefits: AI is prompted to generate snippets of VBA code and complex formulas for Excel. These code snippets and formulas assist users in automating tasks, performing advanced data analysis, and enhancing spreadsheet functionality, saving time and improving efficiency.
US federal AI use case: Generative AI - Text Generation
Agency: Department of Education - Office of Special Education and Rehabilitee Services
Problem addressed: To improve early childhood, educational, and employment outcomes and raise expectations for all people with disabilities, their families, their communities, and the nation.
Purpose and benefits: AI tools provide examples of paragraphs to augment written materials including blog posts, presentation for conferences, newsletters, and talking points
US federal AI use case: Generative AI - Code Generation
Agency: Department of Education - Office of the Chief Data Officer
Problem addressed: Managing and improving the Department's ability to leverage data as a strategic asset.
Purpose and benefits: AI is used to train employees on the benefits of prompt engineering, by providing snippets of code, allowing users to compare the performance of the  generated code.
US federal AI use case: Generative AI - Data Manipulation
Agency: Department of Education - Office of the Chief Data Officer
Problem addressed: Managing and improving the Department's ability to leverage data as a strategic asset.
Purpose and benefits: AI is used to automate the conversion between related data types, such as translating a county name into its corresponding county FIPS (Federal Information Processing Standards) code, recognizing and mapping the relationship between different forms of data.
US federal AI use case: Generative AI - Idea Suggestion
Agency: Department of Education - Office of the Chief Data Officer
Problem addressed: Managing and improving the Department's ability to leverage data as a strategic asset.
Purpose and benefits: AI is used to assist in training employees by generating paragraphs and images related to the topic of study.
US federal AI use case: Generative AI - Mock Data Generation
Agency: Department of Education - Office of the Chief Data Officer
Problem addressed: Managing and improving the Department's ability to leverage data as a strategic asset.
Purpose and benefits: AI is used to generate mock data sets for testing purposes. These simulated datasets help assess system performance, validate models, and ensure the accuracy of data-driven processes without using real-world data.
US federal AI use case: Generative AI - Code Generation
Agency: Department of Education - Office of the Chief Information Officer
Problem addressed: Implementing the operative principles identified in the Act requiring the establishment of a management framework to improve the planning and control of information technology investments and leading change to improve the efficiency and effectiveness of agency operations.
Purpose and benefits: AI is utilized to generate sample code snippets that assist users in understanding programming language syntax and addressing troubleshooting challenges by providing clear, contextually relevant examples
US federal AI use case: Generative AI - Idea Suggestion
Agency: Department of Education - Office of the Chief Information Officer
Problem addressed: Implementing the operative principles identified in the Act requiring the establishment of a management framework to improve the planning and control of information technology investments and leading change to improve the efficiency and effectiveness of agency operations.
Purpose and benefits: AI can assist in generating segments of outreach strategies, creating project plans, and brainstorming ideas. It helps streamline the process by providing structured suggestions and innovative concepts for various aspects of planning and communication.
US federal AI use case: Generative AI - Information Summarization
Agency: Department of Education - Office of the Chief Information Officer
Problem addressed: Implementing the operative principles identified in the Act requiring the establishment of a management framework to improve the planning and control of information technology investments and leading change to improve the efficiency and effectiveness of agency operations.
Purpose and benefits: AI is used to research and analyze public articles and policies, extracting key action items enabling users to quickly identify important takeaways and actionable insights from complex or lengthy documents.
US federal AI use case: Generative AI - System Testing
Agency: Department of Education - Office of the Chief Information Officer
Problem addressed: Implementing the operative principles identified in the Act requiring the establishment of a management framework to improve the planning and control of information technology investments and leading change to improve the efficiency and effectiveness of agency operations.
Purpose and benefits: AI will be provided with fabricated examples of prohibited prompt information, to ensure proper filters and data loss prevention methods are in place
US federal AI use case: Generative AI - Text Generation
Agency: Department of Education - Office of the Chief Information Officer
Problem addressed: Implementing the operative principles identified in the Act requiring the establishment of a management framework to improve the planning and control of information technology investments and leading change to improve the efficiency and effectiveness of agency operations.
Purpose and benefits: AI is leveraged to suggest descriptive paragraphs, workflow diagrams, and qualifications for public positions. This helps streamline the creation of detailed content, visual representations, and role requirements, ensuring clarity and relevance for various public sector needs.
US federal AI use case: Generative AI - Code Generation
Agency: Department of Education - Office of the Deputy Secretary
Problem addressed: Assists the Secretary in the discharge of Secretarial duties and responsibilities
Purpose and benefits: When prompted with descriptive paragraphs or specific queries, AI generates code snippets designed to assist with data analysis and data visualizations.
US federal AI use case: Generative AI - Information Summarization
Agency: Department of Education - Office of the Deputy Secretary
Problem addressed: Assists the Secretary in the discharge of Secretarial duties and responsibilities
Purpose and benefits: AI is used to research and analyze public reports, policies, and media, extracting key action items enabling users to quickly identify important takeaways.
US federal AI use case: Generative AI - Text Generation
Agency: Department of Education - Office of the Deputy Secretary
Problem addressed: Assists the Secretary in the discharge of Secretarial duties and responsibilities
Purpose and benefits: AI is used to generate email templates and draft content intended for public consumption. By analyzing the intended message and audience, AI creates well-structured, engaging templates and content that can be easily customized for various communication needs.
US federal AI use case: Generative AI - Capability Evaluation
Agency: Department of Education - Office of the General Counsel
Problem addressed: Provides legal assistance to ED, including the provision of legal advice, litigation, and legislative services, and is responsible for performing certain law-related management functions, including managing the Department’s ethics program.
Purpose and benefits: Approved AI tools undergo thorough testing to evaluate their capability to provide accurate, reliable, and comprehensive legal information, ensuring the tools meet established standards for precision and dependability.
US federal AI use case: Generative AI - Information Summarization
Agency: Department of Education - Office of the General Counsel
Problem addressed: Provides legal assistance to ED, including the provision of legal advice, litigation, and legislative services, and is responsible for performing certain law-related management functions, including managing the Department’s ethics program.
Purpose and benefits: To assist in the identification of legal and civil rights issues, AI is used to find and summarize publicly available legal cases involving AI
US federal AI use case: Generative AI - Information Summarization
Agency: Department of Education - Office of the General Counsel
Problem addressed: Provides legal assistance to ED, including the provision of legal advice, litigation, and legislative services, and is responsible for performing certain law-related management functions, including managing the Department’s ethics program.
Purpose and benefits: AI is requested to provide summaries of the strengths and weaknesses of AI tools, and identify opportunities, risks, and benefits of AI usage
US federal AI use case: Generative AI - Text Generation
Agency: Department of Education - Office of the General Counsel
Problem addressed: Provides legal assistance to ED, including the provision of legal advice, litigation, and legislative services, and is responsible for performing certain law-related management functions, including managing the Department’s ethics program.
Purpose and benefits: AI is used to gather information and analyze the structure of contracts, state and federal laws, and collective bargaining agreements. By processing and interpreting relevant legal texts, AI helps users understand complex legal frameworks and identify key elements within these documents.
US federal AI use case: Speech to Text Meeting Transcription
Agency: Department of Education - Office of the Under Secretary
Problem addressed: Coordinates policies, programs, and activities related to Postsecondary Education (OPE), Career, Technical Education, Adult Education (OCTAE), The Office of the Chief Economist, and Federal Student Aid (FSA).
Purpose and benefits: Otter.AI is designed to enhance communication and productivity by providing real-time transcription and collaboration tools for meetings, interviews, lectures, and other audio interactions. It enables users to focus on conversations while generating accurate, searchable transcripts, improving accessibility, saving time, and streamlining the organization of critical information.
US federal AI use case: Generative AI - Capability Evaluation
Agency: Department of Education - Office of the Under Secretary
Problem addressed: Coordinates policies, programs, and activities related to Postsecondary Education (OPE), Career, Technical Education, Adult Education (OCTAE), The Office of the Chief Economist, and Federal Student Aid (FSA).
Purpose and benefits: AI is prompted to provide instances where AI technology can be used to assist in the higher education arena, helping to identify how AI policy should be shaped.
US federal AI use case: Generative AI - Text Generation
Agency: Department of Education - Office of the Under Secretary
Problem addressed: Coordinates policies, programs, and activities related to Postsecondary Education (OPE), Career, Technical Education, Adult Education (OCTAE), The Office of the Chief Economist, and Federal Student Aid (FSA).
Purpose and benefits: Written paragraphs are generated to assist in drafting public remarks, summarizing public hearings, and extract bullets from publicly available documentation
US federal AI use case: Improve ASSIST Application Help
Agency: General Services Administration
Problem addressed: 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 application help by providing context-driven answers through an AI chatbot, leveraging existing help documents in various formats like PDF, Word, and Excel.
Topic area: IT
Development stage: Pre-deployment
US federal AI use case: ASSIST Global Search and Inference
Agency: General Services Administration
Problem addressed: 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 keyword-matching search solution. The goal is to reduce search time by 90% by implementing a context-aware, AI-powered search and structured data aggregation experience, allowing users to find accurate information using natural language in 30 seconds or less per query.
Topic area: IT
Development stage: Pre-deployment
US federal AI use case: ASSIST Auto Copy and Summarize
Agency: General Services Administration
Problem addressed: 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 file formats. Currently, data entry per contract typically takes between 45 minutes and one hour, and the proposed solution aims to automate this process to reduce per-contract data entry time by 80%.
Topic area: Procurement and Finance Mgmt
Development stage: Pre-deployment
US federal AI use case: ASSIST ECF Autoclassification and Summary
Agency: General Services Administration
Problem addressed: 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. Currently, COs spend significant time reviewing and categorizing 20-50 documents per acquisition, leading to approximately 100-150 monthly help desk calls from new COs seeking guidance due to the manual effort and potential for errors.
Topic area: Admin Functions
Development stage: Pre-deployment
US federal AI use case: Leveraging Retrieval Augmented Generation (RAG) AI to Power Outcome-Based Contracting
Agency: General Services Administration
Problem addressed: 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 contract outcomes and higher costs. This experimental effort aims to determine if an AI-powered assistant can provide coaching and feedback on drafting such requirements with accuracy and reliability comparable to experienced human facilitators, thereby reducing reliance on limited Subject Matter Expert availability.
Topic area: Procurement and Finance Mgmt
Development stage: Pre-deployment
US federal AI use case: SINSpector: Using Generative AI to Enforce Scope and Compliance
Agency: General Services Administration
Problem addressed: 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 determining if products being added under a specific Special Item Number (SIN) are within the scope of that SIN. This addresses challenges such as inconsistent turnaround times, staffing reductions, and the manual effort involved in reviewing large volumes of products.
Topic area: Procurement and Finance Mgmt
Development stage: Pre-deployment
US federal AI use case: Content Management Analysis System Pilot
Agency: General Services Administration
Problem addressed: 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 application that can extract, structure, and enable focused analytics from IT procurement documents, and support plain language search and prompted interaction with the extracted data.
Topic area: Procurement and Finance Mgmt
Development stage: Pilot
US federal AI use case: Acquisition Analytics
Agency: General Services Administration
Problem addressed: 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 distribution of obligations and make decisions on aggregating multi-agency spend.
Topic area: Procurement and Finance Mgmt
Development stage: Deployed
US federal AI use case: Category Taxonomy Refinement Using NLP
Agency: General Services Administration
Problem addressed: The AI is designed to address the challenge of maintaining an accurate, scalable, and contextually relevant taxonomy classification system for agency data. Traditional manual classification methods are time-consuming, prone to inconsistency, and difficult to scale across large datasets. By using Natural Language Processing (NLP), the AI automates and refines the categorization of content, ensuring that data is consistently and accurately classified according to evolving standards and organizational needs.
Topic area: Other
Development stage: Deployed
US federal AI use case: FAS Catalog Platform - Virtual Assistant
Agency: General Services Administration
Problem addressed: 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 contacting the Vendor Support Center (VSC) instead of sifting through existing user guides, FAQs, and quick reference guides. The Virtual Assistant aims to streamline access to this vast volume of support information, providing quicker answers to common support questions and alleviating the burden on human support staff.
Topic area: Service Delivery
Development stage: Pilot
US federal AI use case: AI-Powered Visibility for Supply and Vendor Risk Resilience
Agency: General Services Administration
Problem addressed: 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 a predictive and strategic capability. It addresses issues such as time-consuming manual evaluations, complexity in regulatory compliance (e.g., Buy American Act, CMMC), risks in federal procurement contracts (compliance, financial, geopolitical), procurement fraud, and disruptions from global events, ultimately aiming to ensure continuous access to essential supplies and protect against high-risk products or companies.
Topic area: Procurement and Finance Mgmt
Development stage: Pre-deployment
US federal AI use case: AI in Public Experience (PX) Contact Center Services Blanket Purchase Agreement (BPA)
Agency: General Services Administration
Problem addressed: 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 inquiries annually. By leveraging AI, the PX CC aims to decrease these volumes, thereby lowering operational costs for the Government. This aligns with the program's mission as a "voice of the Government," helping citizens navigate and understand Government programs, services, and information, especially as it is deemed a mission-essential function by GSA, expected to remain operational even during national crises.
Topic area: Service Delivery
Development stage: Pre-deployment
US federal AI use case: LaborMatch IQ - Efficient Services Pricing Market Research
Agency: General Services Administration
Problem addressed: 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 system aims to streamline and improve the accuracy of gathering market pricing information for services, which is a crucial aspect of procurement activities.
Topic area: Procurement and Finance Mgmt
Development stage: Pre-deployment
US federal AI use case: Login.gov: artificial intelligence technology used for detecting and mitigating fraud for remote unsupervised identity verification
Agency: General Services Administration
Problem addressed: 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 compare and verify a user's identity by scanning identity documents uploaded online for authenticity, conducting one-to-one facial matching comparing the applicant’s self photograph (selfie) with the image on the identity evidence, performing liveness detection to mitigate imposters uploading images of stolen or counterfeit documents, and fraud detection analytics, all with the goal of ensuring the applicant is the person they are claiming to be. This is also to achieve NIST SP 800-63 compliance, which effectively requires AI-based capabilities for compliance with remote proofing.
Topic area: Service Delivery
Development stage: Deployed
US federal AI use case: Enterprise Management Program Management Office Chatbot
Agency: General Services Administration
Problem addressed: 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 team resources. These questions involve policy interpretations, statutory compliance obligations, internal compliance procedures, documentation requirements, and reporting guidelines. By automating responses to frequently asked questions and providing clear, actionable process steps, the AI aims to reduce the manual effort involved in question-answering and streamline the provision of compliance information.
Topic area: Admin Functions
Development stage: Pre-deployment
US federal AI use case: Public Comments Analysis
Agency: General Services Administration
Problem addressed: The AI is intended to solve the problem of labor-intensive and time-consuming processing of public comments on US agencies' published notices, proposed rules, and deregulations, which are received in large amounts through OROS/eRulemaking managed regulations.gov. Agency users currently leverage FDMS.gov to process and respond to these comments, a task that is particularly challenging under short comment and response periods. The AI aims to streamline this process by providing analytical capabilities to increase efficiency and accuracy.
Topic area: Admin Functions
Development stage: Pre-deployment
US federal AI use case: FAS Catalog Platform - Image Recognition for Product Photos
Agency: General Services Administration
Problem addressed: The AI is intended to solve the problem of poor quality or inaccurate product photos on the FAS Catalog Platform, which negatively impacts the buying experience for government purchasers and potentially sales for vendors. Currently, manual review of these images is impractical due to the large volume of products, leading to many substandard images remaining on GSA Advantage. By automating the assessment of image quality and accuracy, the AI aims to streamline the review process and improve the overall visual quality of product listings.
Topic area: Procurement and Finance Mgmt
Development stage: Deployed
US federal AI use case: Lot Description Generation
Agency: General Services Administration
Problem addressed: The AI is intended to solve the problem of simplifying sales creation and the lotting process by automatically generating lot descriptions. This will reduce sales contracting officer time, minimize manual errors, and help sell assets more quickly.
Topic area: Admin Functions
Development stage: Pre-deployment
US federal AI use case: Similar Auction Items Recommendations
Agency: General Services Administration
Problem addressed: The AI is intended to solve the problem of the current auction item search setup being time-consuming and involving repetitive efforts for users. It aims to enhance the auction user experience by offering added convenience through "Search Similar" or recommendations for items searched for auctions.
Topic area: Admin Functions
Development stage: Pre-deployment
US federal AI use case: PPMS - Decode Image to Generate Property Description
Agency: General Services Administration
Problem addressed: The AI aims to simplify the sales creation and property reporting process for GSA by automating the drafting of GSAAuctions sale descriptions and filling in property details from images. This addresses challenges such as manual data entry time, human error in property reporting, and the impact of personnel losses.
Topic area: Admin Functions
Development stage: Pre-deployment
US federal AI use case: ReDux Toolkit
Agency: General Services Administration
Problem addressed: The AI is intended to solve the challenges associated with application modernization and legacy system assessment, specifically by accelerating requirements generation automation, facilitating migration from current to target language and software stacks, and providing comprehensive documentation for all use cases and system functionalities, thereby addressing issues such as limited availability of Subject Matter Experts (SMEs).
Topic area: IT
Development stage: Pre-deployment
US federal AI use case: Gemini for Google Workspace
Agency: General Services Administration
Problem addressed: The AI (Gemini for Google Workspace) is intended to help federal agencies enhance productivity and streamline operations by assisting with tasks such as document drafting, data analysis, communication enhancement, and workflow automation. This production implementation aims to benefit users and support the agency's mission to deliver value and savings in real estate, acquisition, technology, and other mission-support services.
Topic area: Admin Functions
Development stage: Deployed
US federal AI use case: Enterprise Chatbot (GSAi)
Agency: General Services Administration
Problem addressed: The AI is intended to solve the problem of providing GSA staff with an enterprise-wide chatbot tool for general productivity support. This will allow users to access an internally available chatbot for tasks such as generating initial drafts, outlines, and copyediting for writers; facilitating faster research and more nuanced understanding of concepts for researchers; and drafting functions and working code for engineers.
Topic area: IT
Development stage: Deployed
US federal AI use case: USAi.gov
Agency: General Services Administration
Problem addressed: The AI is intended to solve the problem of making it easier for other agencies to rapidly deploy a chatbot to their organizations, as well as providing standardized API access to a suite of curated models and a mechanism for managing their user base. This addresses the challenge of individual agencies needing to build and maintain their own generative AI solutions, by offering a shared service model.
Topic area: IT
Development stage: Deployed
US federal AI use case: Cybersecurity Chatbot
Agency: General Services Administration
Problem addressed: The AI is intended to solve the challenges associated with manual, labor-intensive compliance documentation and assessment processes within GSA IT. Currently, there's a lack of effective LLM tools for compliance, and vendors are still developing solutions without definitive timelines. This leads to a persistent demand for compliance support that exceeds available supply and resources, hindering the ability to achieve the strongest possible security posture.
Topic area: Cybersecurity
Development stage: Pre-deployment
US federal AI use case: Elastic Machine Learning Threat Detection (Phase 1)
Agency: General Services Administration
Problem addressed: The AI is intended to solve the problem of identifying and detecting threats within system logs. By utilizing Elastic Machine Learning and Amazon SageMaker, the system performs time series analysis on log data to proactively identify potential security breaches or anomalies that might otherwise go unnoticed. This continuous analysis aims to enhance the overall security posture of GSA IT.
Topic area: Cybersecurity
Development stage: Deployed
US federal AI use case: Elastic Machine Learning Threat Detection (Phase 2)
Agency: General Services Administration
Problem addressed: The AI is intended to solve the problem of effectively identifying and prioritizing cyber threats. By creating aggregation models and decision tree models, the AI aims to synthesize information from various sources, including Phase 1 models and new use cases, to provide a comprehensive understanding of user behavior and machine communication patterns. This will allow for the isolation and ranking of cyber threats, facilitating faster and more accurate escalation to threat hunting and incident response teams.
Topic area: Cybersecurity
Development stage: Deployed
US federal AI use case: Slack AI
Agency: General Services Administration
Problem addressed: The AI is intended to solve the problem of inefficient team communication and productivity by providing AI-powered assistance within the Slack messaging platform. This includes addressing challenges such as managing long message threads, difficulty in finding relevant information, and optimizing workflows, ultimately aiming to reduce the time spent on message management and foster better knowledge sharing within teams.
Topic area: IT
Development stage: Pre-deployment