2024 – HUD’s Single Audit Analytic Tool

U.S. Department of Housing & Urban Development (HUD), Office of the Chief Financial Officer

HUD developed the Single Audit Analytic Tool, a first-of-its-kind Power BI dashboard that aggregates grantee data to deliver a user-friendly snapshot of single audit activity. This tool enhances HUD’s ability to track non-compliance with audit submission requirements, identify high-risk auditees, prioritize monitoring resources, and flag data quality issues at the point of record intake (FAC). It enables more informed decision-making across programs and regions.

2023 – Assurance Leap

U.S. Department of Housing & Urban Development (HUD)

HUD’s Assurance Leap transforms the annual program assurance process through a fully integrated Microsoft ecosystem. Using SharePoint, Power Apps, and Power BI, HUD created a streamlined, automated platform for collecting and analyzing Statements of Assurance (SOAs) and Management Representation Letters (MRLs). The system reduces manual effort, enhances transparency, and enables real-time data analysis across the agency.

2022 – G-Invoicing

U.S. Department of the Treasury, Bureau of the Fiscal Service & Federal Reserve Bank of St. Louis

G-Invoicing is a transformative platform for streamlining intragovernmental transactions (IGTs). It replaces outdated, paper-based agreement processes with a centralized digital tool, improving data integrity, financial transparency, and audit readiness across federal agencies. By enhancing communication and collaboration among trading partners, G-Invoicing reduces discrepancies and lays the foundation for long-term cost savings and operational efficiency.

2021 – Financial Obligation Root Cause Explorer (FORCE)

National Science Foundation (NSF)

NSF’s FORCE uses artificial intelligence and machine learning to analyze its 50,000 open grants, identifying atypical spending patterns and common themes in proposal data and progress reports. By aggregating and analyzing qualitative data in real time, FORCE provides powerful business intelligence for risk management—eliminating the need for labor-intensive manual reviews of individual awards.

2020 – Statistical Predictive Model

National Science Foundation (NSF)

NSF created a statistical model and web scraper using open-source tools to predict which awardees are at higher risk of improper payments. Drawing data from the Federal Audit Clearinghouse and internal systems, the model automates risk assessment, reduces manual effort, and helps agencies better meet Payment Integrity Information Act compliance. It is transferable and customizable for other federal programs.

2020 – Robotic Process Automation (RPA) Initiative

Bureau of the Fiscal Service, Digital Workforce Support Team

The Fiscal Service piloted RPA to automate time-consuming, rules-based processes across financial management, procurement, travel, and HR systems. The initiative yielded dramatic results — cutting processing time by up to 99%, achieving 100% accuracy, and boosting staff morale by reducing repetitive work. The successful pilot led to agency-wide RPA adoption.