Auto.IES helps agencies find eligibility errors, procedural issues, documentation gaps, policy-application inconsistencies, and system errors — before they contribute to SNAP QC findings, Medicaid PERM exposure, and federal financial penalties.

A Fundamentally Different Approach to QA

Auto.IES is designed to QA the full eligibility caseload — pre-certification — for a proactive, scalable, defensible QA posture.

Findings Auto.IES Can Surface

Identify where errors come from — staff, process, or system.

• Eligibility Issues

  Income, household, citizenship, address, resources, work hours, arrests, incarceration, TPL. Potential categorical, resource, or program-specific eligibility discrepancies are flagged before they become findings.

• Procedural Issues

  Missed notices, incomplete steps, unresolved verification, mistimed actions

  Procedural gaps that can trigger SNAP QC or Medicaid PERM findings without triggering an obvious eligibility error.

• Documentation Gaps

  Missing, inconsistent, or insufficient documentation.

  Documentation issues that disproportionately drive Medicaid PERM insufficient-evidence findings.

• Calculation Errors

  Income, deductions, shelter, utility, benefit level.

  Benefit-calculation discrepancies across income types, deductions, and household configurations.

• Policy Inconsistencies

  Same rule, different outcomes across workers or offices.

  Patterns where policy is applied differently across workers, units, offices, or programs.

• System Issues

  Incorrect system-generated actions or calculations.

  System-driven errors distinguishable from staff errors — the finding that retraining alone will never fix.

QA Workflow

Five steps, fully outside the determination workflow.

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