Sponsors (15)
Introduced April 22, 2026 by Joni Ernst · Last progress April 22, 2026
The bill strengthens detection, reporting, and prevention of improper payments and AI-driven fraud—potentially saving taxpayer dollars and protecting veterans and consumers—but does so by increasing recordkeeping, data-sharing, oversight, and compliance burdens that raise privacy risks and can strain small providers, agencies, and some assistance recipients.
Taxpayers and federal programs will get stronger, more coordinated detection and oversight of improper payments because HHS/OMB/Treasury reporting, payment-spike notifications, plan-level Exchange data, expanded data-access (Do Not Pay, tax/SSA/NDNH), and budget-disclosure rules improve transparency and enable recovery/monitoring of anomalous payments.
Parents, children, and child-care providers will have payments more closely tied to actual attendance and services because state agencies must reimburse based on recorded attendance and providers must retain audit-ready attendance/service records for seven years, making payments more accurate and deterring fraud.
Consumers (including bank customers) will gain protections against AI/voice/deep‑fake fraud because Treasury will publish recommendations and standardized AI definitions/best practices for banks and credit unions to detect and prevent such scams.
Small child-care providers and family providers may face cash-flow strain and delayed or reduced payments because reimbursement is tied to recorded attendance rather than advance or projected payments, which can be especially harmful to low-margin providers.
Expanded data-sharing (tax, SSA, NDNH, consumer-report data) and redisclosure to Treasury and contractors increases privacy and data-security risks for individuals if safeguards and controls are insufficient.
Rescinding unobligated pandemic-era balances reduces funds available to states and communities, potentially cutting services or support that still depend on ARP/CARES/PPP-era resources.
Based on analysis of 4 sections of legislative text.
Shifts child care payments to attendance‑based reimbursements with 7‑year records, tightens TANF improper‑payment rules and reporting, mandates an AI/deep‑fake fraud study, and extends certain pandemic‑grant enforcement limits to 10 years.
Requires child care payments to be made as timely reimbursements based on recorded attendance (not advance payments) and imposes multi-year attendance recordkeeping and audit access; expands HHS notification triggers for rapid year-over-year payment or provider growth in Medicare, Exchange plans, and related programs. Strengthens TANF program-integrity rules by applying improper-payments laws, adding a non‑supplantation requirement, tightening reporting of individual work eligibility and participation, and directing HHS to issue regulations and a 10-year improper‑payment reduction plan. Orders a Treasury-led study on AI-driven “deep fake” and voice-banking fraud risks affecting financial accounts, solicits public feedback, defines key AI terms, and requires recommendations and best practices for financial institutions; also extends 10-year statutes of limitations for criminal/civil enforcement related to certain pandemic-era grant programs.