| Federal Audit Clearinghouse Exploration Tool | Searches for and sorts Single Audit data and findings from the Federal Audit Clearinghouse | - Allows GAO auditors to easily analyze Single Audit data and efficiently access and summarize findings
- Identifies critical and persistent issues in the Single Audits and facilitates data reliability assessments
- Predicts risk areas
| Operational | - Machine learning
- Large language model
- Forecasting
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| Topic Modeling | Organizes large volumes of text, such as public comments from Regulations.gov | - Groups contents by similar themes using keywords or phrases
- Facilitates further analyses such as auditing of regulatory review processes
| Operational | - Natural language processing
- Topic modeling
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| Computer-Readable Formatting | Extracts specific information from large volumes of documents | - Increases efficiency and reduces manual document review
- Formats information from a non-computer readable document (e.g., PDF) into a tabular format
- Allows computer-aided analysis of the data
| Operational | - Computer vision
- Machine learning
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| Legislative Mandates | Detects and summarizes GAO legislative mandates | - Increases efficiency and reduces manual document review
- Identifies any legislation that includes a mandate calling for GAO to conduct an audit or review
- Produces an automated summary of the context surrounding the identified mandate
- Highlights potentially fragmented and duplicative mandates
| Operational | - Natural language processing
- Large language model
- Semantic matching
- Regular expressions
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| GAO Employee Experience Survey | Summarizes qualitative responses from annual GAO Employee Experience Survey | - Identifies trends, patterns, and sentiments quickly
- Improves survey interpretation with less manual intervention
- Assists with root-cause analyses
| Operational | - Natural language processing
- Large language model
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| Generative AI Tool for GAO Staff | Provides Generative AI functionality to support multiple operational and audit efficiencies | - A Generative AI system tailored to complement GAO's unique mission and operational needs
- Improves knowledge management by providing a central access point for data sources critical to audit findings
| Late-stage prototype | |
| Congressional Outreach | Optimizes GAO delivery of products and information to members of Congress based on their interest areas | - Improves GAO’s awareness of Congressional priorities
- Enhances GAO’s ability to provide new and relevant reports and technical assistance to support Congressional informational needs
| Early-stage prototype | - Large language model
- Natural language processing
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| Performance Monitoring and Reporting | Quantifies GAO's nonfinancial impacts and identifies unclaimed benefits from recommendations | - Enhances reporting on GAO’s overall performance and accomplishments
- Categorizes financial and nonfinancial benefits of agencies’ implementation of GAO recommendations
- Matches GAO recommendations to resulting legislation
- Enhances strategic planning through data-driven insights
| Early-stage prototype | - Large language model
- Natural language processing
- Predictive modeling
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| Concept Induction Tool | Produces meaningful concepts from unstructured text, such as open-ended survey responses or expert panel discussions | - Increases efficiency and reduces manual qualitative data analysis
- Creates interpretable and refinable concept groupings via human-in-the-loop iterative processes
| Concept exploration | - Large language model
- Concept induction
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| IT Assistance | Triages IT help desk requests and answers internal GAO policy questions | - Provides 24/7 self-service assistance to GAO employees
- Allows support staff to focus on more complex requests
| Concept exploration | - Natural language processing
- Large language model
- Sentiment analysis
- Integrated workflow and escalation
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