Implemented through a phased, configuration-first approach that helps agencies focus first on high-priority QA needs, validate results, and expand over time while minimizing disruption to existing eligibility systems.

Implementation Approach

Increase QA accuracy while minimizing operational disruption.

Using a structured approach, agencies begin with a focused eligibility QA use case, validate results, and expand over time as needs evolve. Each deployment is tailored to the agency’s existing systems, policy environment, security requirements, and operational priorities.

Implementation & Time to Value

A phased, configuration-first development approach.

Modernize Eligibility QA Without Disrupting Operations

Auto.IES helps state agencies strengthen eligibility QA across benefit programs by identifying potential issues earlier, improving review consistency, and supporting documentation for oversight and audit readiness. By helping teams focus review capacity where it matters most, Auto.IES supports stronger program integrity without requiring agencies to replace existing eligibility systems.

• Automated reviews of virtually 100% of cases
• Prospective, rather than retroactive QA reviews
• Granular feedback on eligibility and procedural issues and training needs
• More consistent QA review across programs and teams
• Stronger policy citations and audit-ready documentation
• Better use of staff time and review capacity
• Dramatic reduction in federal penalties associated with eligibility errors

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