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AI & Data Services

From readiness assessment to production agents: we build AI that regulators can audit, caseworkers can trust and your security team can approve.

AI you can put in front of an inspector general

Most AI pilots in government stall at the security review. NexSolv designs for that moment from day one: every agent we ship produces policy citations, source-and-timestamp data checks, a confidence band and an exportable PDF/JSON audit trail. Humans stay in the loop for every consequential decision, and PHI never leaves your environment.

We have already built and demonstrated eleven AI and RPA use cases for Medicaid and public-health operations in response to the Maryland Department of Health’s request for AI, LLM and RPA solutions. All run on synthetic or de-identified data and are built for low-friction pilots that scale.

How a NexSolv agent processes a case

What we deliver

AI readiness & strategy

Use-case discovery, data and infrastructure assessment, risk tiering and a 90-day roadmap your leadership can fund.

Responsible AI governance

Policies, model cards, bias and fairness checks, human-in-the-loop controls and NIST AI RMF alignment.

LLM & agent engineering

Domain-tuned LLMs, retrieval-augmented generation, policy-grounded copilots and agentic workflows for eligibility, claims, appeals, prior authorization and member services.

Evaluation & safety

Prompt and tooling governance, test harnesses, red-team scripts, PHI and PII screens, toxicity filters and safe-completion checks.

RPA & test automation

UiPath attended/unattended bots and Orchestrator, Selenium regression, API-first automations, event-driven reconciliation and mainframe (3270/CICS) interaction.

Analytics & MLOps

Claims and eligibility data lakes, FMAP and CMS-64 cost analytics, FWA feature stores, model registries, drift monitoring and zero-downtime rollouts.

Use cases we have built

How an engagement runs

Access & environments

Week 1: environments, access and data agreements in your cloud or on-prem.

Pilot

Weeks 2–4: connect key systems (MMIS, CRM, hubs), run UAT with real caseworkers.

Scale

Weeks 5–8: expand programs; track throughput, error rate, on-time percentage and worker satisfaction.

Operate

99.9% availability targets, change-controlled model and prompt updates with rollback, drift monitoring.

Let’s talk about your next program.

Tell us what you are modernizing, securing or staffing. We reply within one business day with the right people on the call.