Skip to main content
Vardr Partners

01Services

Five practices for precise, auditable benefits programs.

Every engagement starts from the same operating model: versioned models, reproducible decisions, proactive integrity testing, and human-in-the-loop review where due process requires it.

01 / 05

Practice

Benefits Verification & System Modernization

We modernize the eligibility, intake, and verification engines that determine who receives state and federal benefits. We hold continuity-of-service as a hard constraint and ship behind feature flags from day one — never a flag-day cutover.

Outcomes we target

  • Median eligibility-decision time reduced 60–90%
  • Mainframe / COBOL retirement on a verifiable timeline
  • Auditable decision provenance for every approval, denial, and appeal

Representative capabilities

  • Eligibility-rules extraction from COBOL, RPG, and legacy SQL
  • Event-sourced caseworker workflows with full audit trails
  • Strangler-fig migration with traffic-shadowed parity testing
  • Section 508 / WCAG 2.1 AA conformant claimant interfaces
Discuss this practice →See our methodology
02 / 05

Practice

Audit Simulation & Integrity Forecasting

We run your claims, cases, and decision records through OIG-style scrutiny — improper payments, eligibility determinations, due-process notices, timeliness, and AI-decision provenance — using the standards auditors actually apply. Built on Vardr's Reference Architecture, every result is reproducible, replayable, and policy-bounded. You get a confidential findings forecast and a prioritized remediation plan tied to your authority, budget cycles, and procurement windows.

Outcomes we target

  • Leadership sees the program-integrity picture before oversight does — no surprises in a hearing room
  • Remediation work is sequenced by quantified exposure, not internal politics
  • Improper-payment leakage and eligibility defects trend down ahead of the audit
  • Federal partners and legislators receive evidence of proactive stewardship, not reactive cleanup

Representative capabilities

  • OIG-style simulated sweeps across improper payments, eligibility, notice/timeliness, and AI-decision provenance
  • Data ingest and normalization against Vardr audit-trail requirements for reproducible case replay
  • Exposure quantification: estimated dollar leakage, affected cohorts, and statutory/policy-violation surface
  • Remediation roadmap mapped to the Reference Architecture, Modernization Readiness Assessment, and M-25-21 Engineering Checklist
  • Pre-audit evidence packaging for corrective-action plans and proactive disclosure
Discuss this practice →See our methodology
03 / 05

Practice

Anti-Fraud & Fraud Detection

We design and deploy multi-layer fraud defenses — rule engines, graph models, neural signal detectors, and human-in-the-loop review queues — that prevent improper payments at submission rather than clawing them back twelve months later.

Outcomes we target

  • Improper-payment leakage measurably reduced quarter over quarter
  • Investigator queues prioritized by expected recovery value
  • Synthetic-identity and organized-ring detection at intake

Representative capabilities

  • Identity-graph construction across SNAP, TANF, UI, Medicaid, and tax filings
  • Behavioral biometrics and device-fingerprint anomaly detection
  • Vendor-collusion and provider-overbilling pattern discovery
  • Explainable adverse-action notices that survive due-process challenge
Discuss this practice →See our methodology
04 / 05

Practice

Decisioning Assistance

We build decisioning copilots that compress 90 minutes of policy lookup into one screen — without removing the caseworker from the decision. Every recommendation is traceable to a citation in policy, statute, or precedent.

Outcomes we target

  • Caseworker throughput up, training time down
  • Reduction in inconsistent decisions across regional offices
  • Citation-grounded outputs that hold up under FOIA and audit

Representative capabilities

  • Retrieval-augmented generation against policy manuals and case law
  • Reasoning traces persisted for audit and appellate review
  • Per-state policy variants modeled, not hard-coded
  • Human-in-the-loop escalation with calibrated confidence thresholds
Discuss this practice →See our methodology
05 / 05

Practice

AI Guidance & Implementation

We help agency leadership move from AI policy compliance to AI capability — building the inventory, governance, evaluation, and procurement scaffolding required to deploy AI responsibly across a portfolio of systems.

Outcomes we target

  • M-24-10 / M-25-21–aligned AI inventory and impact assessments
  • Procurement language that protects the agency from vendor lock-in
  • Evaluation harnesses that can be re-run on every model update

Representative capabilities

  • Agency AI inventory, impact assessments, and minimum-practice gap analyses
  • Vendor RFP and contract-language drafting for AI procurements
  • Pre-deployment evaluation suites and red-team protocols
  • Advanced detection architectures — graph neural networks, sequence models, contrastive pretraining — integrated under agency MLOps and governance standards
  • Workforce upskilling tracks for policy, legal, IT, and program staff
Discuss this practice →See our methodology

06Where we work

Civilian programs that move money and matter for legal entitlement.

  • State Health & Human Services

    Medicaid, SNAP, TANF, CHIP, child welfare, and UI systems where eligibility, payment integrity, and Section 508 conformance are non-negotiable.

  • Federal Civilian

    VA, SSA, IRS, USDA, HHS, and DOL programs requiring modernization of eligibility, claims, and benefits-delivery infrastructure.

  • Program Integrity & Inspector General

    OIG and program-integrity offices needing detection, recovery, and prevention capability beyond traditional rules-and-tips intake.

  • State Tax & Revenue

    State revenue departments addressing refund fraud, false-filing rings, and overpayment of credits and rebates.