Grants, subsidies and benefits programs are prone to improper payments, one of the most common forms of fraud, waste and abuse. Among federal programs, these improper payments cost taxpayers billions annually. This issue is particularly acute in large programs such as subsidized housing.
As the Department of Housing and Urban Development steps up its efforts to reduce improper payments, the public housing authorities that are its immediate constituents will become more accountable for providing timely and accurate evidence to support their claimed subsidies.
Systems modernization leveraging artificial intelligence provides a solid foundation for collecting, maintaining and providing the necessary information. A scalable solution for addressing regulatory risk from improper payments should include four major features: (1) smart mechanisms to collect evidence, (2) methodical organization and labeling of evidence for analysis, (3) intelligent evidence analysis to detect improper payments, and (4) tailored dashboards for remediation.
To learn more about how AI and CGI Federal can help, download our white paper.
