Integrated eligibility across SNAP, TANF, Medicaid, childcare, child support, and child welfare. AI-powered automation on a governed data foundation.
xAQUA augments eligibility workers, case managers, and program staff — it does not replace your IES, SACWIS, CSES, or program-specific systems. It sits above them, federates queries across programs, and turns plain-English intent into governed, auditable answers. Built for the workforce crisis with hard ACF, FNS, and CMS reporting posture.
State and county human services agencies serve the most vulnerable populations in the country — across the most fragmented system landscape in government. Workforce shortages, mounting caseloads, and federal reporting cadence have made the integration problem the bottleneck.
SNAP, TANF, Medicaid, child support, child welfare — each on a separate legacy system, some on COBOL mainframes from the 1990s. Two-thirds of state IES platforms are over a decade old.
64 separate Medicaid systems · 49 statesEligibility workers carry 900+ cases each on average. Turnover crosses 16% per year. Entry-level pay has risen far slower than caseload — and unwinding compounded the load.
900+ cases per worker, on averageGAO has cataloged dozens of TANF audit findings across most states. Federal reporting for ACF, FNS, and CMS each demand different formats, timelines, and metrics — every cycle.
Audit findings in most statesxAQUA does not replace your systems of record. It does not bulk-copy your data. It federates queries with full authority enforcement — and every request is logged, scoped, and replayable.
From front-line operations to federal reporting. xAQUA covers the operational, analytical, and oversight workload across the agency.
Each agent is a specialist. Together they augment your front-line staff, analysts, and oversight team — without replacing the systems they already use.
A unified view of every household across SNAP, TANF, Medicaid, childcare, IV-D, and child welfare — assembled at query time, with authority enforced for each program touched.
PII handling across program-specific privacy regimes. ACF, FNS, CMS rules enforced at query time. Authority checked per program, not assumed.
Screen eligibility across SNAP, TANF, Medicaid, and childcare in a single workflow. Apply program rules from multiple federal agencies. Reduce churn through ex parte automation.
Modernize child support without replacing legacy CSES. AI-powered locate services, payment prediction, and case prioritization to lift collections and IV-D performance.
Stable, audited connectors to legacy IES, SACWIS, CSES, and program-specific systems. New use cases ship without new procurement or new security review.
ACF-196/199/209 TANF reporting, SNAP QC analytics, work participation rate optimization, and outcome dashboards — auto-generated with narrative commentary and lineage.
A typical eligibility-worker flow. Same shape holds for case manager queries, IV-D triage, and federal reporting cycles.
Concrete workflows scoped at peer agencies. Each one is a single use case the platform unlocks — and the platform unlocks dozens more after the first.
Single screening for SNAP, TANF, Medicaid, and childcare simultaneously. Surface every benefit a household qualifies for in one interaction — including ones not applied for.
Coordinate renewal timelines across programs. Auto-trigger ex parte renewals using verified data from other programs. Reduce churn through smart cadence.
AI-powered case prioritization lifts IV-D collections. Predictive analytics identify at-risk cases before payment patterns break.
Cross-program anomaly detection identifies potential fraud while protecting legitimate recipients. Reduce improper-payment rates with explainable models.
Unified view for developmental disabilities services. Coordinate care plans, track authorizations, and monitor service delivery across providers.
Track work-eligible individuals, monitor participation hours, and optimize work participation rate calculations under FRA. Audit-ready every cycle.
Surface family context for caseworkers across programs — without violating SACWIS restrictions. Faster placement decisions, better outcomes.
QC sample selection, error attribution, and root-cause analysis. Reduce error rates with targeted worker training and process fixes.
Outcome cohorts by demographic, geography, and program participation. Bias-aware models with cohort-level explainability.
Government data carries statutory privacy, federal reporting, and oversight obligations from day one. xAQUA is built for that posture, not against it.
Reference outcomes from peer-agency design conversations and adjacent production deployments on the same platform.
A scoped 30–60 day pilot against your specific use cases. Live in your environment. No client data egress. We work with state and county HHS agencies on integrated eligibility, IV-D modernization, federal reporting, and unwinding recovery.