State agencies that manage social services know that H.R. 1 brings new challenges that are anticipated to drastically impact state SNAP program costs. After all, states’ share of administrative costs will increase from 50 to 75 percent in fiscal year 2027. What’s more: states must now contribute to SNAP benefit costs if their payment error rate (PER) is 6 percent or greater, starting in fiscal year 2028.
It’s also no secret that stricter work and income requirements may increase your administrative burden. As you work to reduce SNAP payment error rates, there are things you can do to minimize this burden.
The "One Big Beautiful Bill Act" (H.R. 1) requires the 41 states plus the District of Columbia that have adopted the Affordable Care Act's (ACA) Medicaid expansion to modify systems and processes to verify Community Engagement. Non-exempt adults in the expanded population must have proof of meeting the 80 hours requirements that may include hours from work, education, community service or a combination of these.
This checklist focuses on the core challenge: How to quickly and accurately verify the 80-hour threshold using automated data, minimizing administrative lift for caseworkers, and reducing costly beneficiary churn.
When people needing government benefits are likely already facing economic challenges, data and process inefficiencies can have a ripple effect — causing delayed access to necessities and even substantial gaps in coverage for eligible applicants.
Millions of Americans rely on government assistance programs. This goes beyond low-income households to also include “justice- involved” populations (individuals recently released from incarceration and the families of those still in custody). Having access to government benefits is essential for these eligible individuals’ well-being and quality of life — and can be a critical part of a formerly incarcerated person’s re-entry into society.
Rapid changes in traditional workforce composition, a rise in alternate incomes, and reduced funding for social services are putting agencies in a squeeze as the systems and the people within them are stretched thin by insufficient resources and overwhelming demands. Caseworkers face rising caseloads, outdated tools, and complex eligibility determinations that often rely on time-consuming manual processes. These pressures not only delay benefits for eligible applicants but also erode the capacity of agencies to deliver timely, effective, and more equitable services.
In these uncertain times, managing complex caseloads and navigating evolving federal mandates like H.R. 1 present unprecedented challenges for government agencies.
Is your agency ready for a smarter eligibility process that can help significantly reduce the financial impact and administrative burdens associated with H.R. 1 federal mandates?
Discover our comprehensive Eligibility Suite of solutions, designed to empower Social Service agencies like yours to make confident, well-informed decisions with a holistic view of an applicant's financial picture, directly addressing your critical pain points.
Manual verification methods are no longer sufficient to meet today's social service needs. It’s time to embrace modern tools to streamline processes, alleviate staff burnout, and deliver aid faster. By adopting secure, automated solutions, agencies can better serve both applicants and caseworkers while upholding privacy and trust.
A Ohio-based manufacturing organization had significant hiring delays due to their previous vendor's slow background checks caused by local court system issues. They switched to 3rd Degree Screening and used Smart Screen™ from Equifax. Smart Screen™, leveraging proprietary incarceration data, delivered criminal background check results near-instantly, often in minutes or hours, which dramatically sped up their time-to-hire, secured top talent faster, and maintained efficient operations.
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We delved into real-world client use cases, analyzed current market trends, and demonstrated how Smart Screen addresses critical screening and hiring challenges.