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Case management capacity recovered
Processing-time improvement
Annual enrollment cases managed
A leading U.S. healthcare program was managing more than 200,000 enrollment and citizen application cases annually across multiple intake channels, fragmented systems, and manual case queues. Applications arrived through digital and operational pathways, but case information was not organized in a way that allowed staff to classify, validate, track, and resolve work consistently.
The problem was that case management depended on manual verification, manual classification, and repeated status tracking. Staff had to review each case, identify missing information, update progress, and follow up across disconnected repositories. This pushed average case processing time to 7–10 days, consumed approximately 500 staff hours per month, and created a 10–12% risk of misfiled or missing information.
The consequence was both financial and operational. Manual case effort represented approximately $300,000 per year in recoverable capacity, while slower approvals and inconsistent case visibility weakened citizen service. Leadership needed a governed automation layer that could reduce manual work, improve accuracy, and keep cases moving predictably.
Novacis Digital implemented its AI Powered Case Automation Solution for high-volume healthcare enrollment programs. It converts fragmented application intake into structured, trackable case workflows that help staff move work from submission to approval with less manual effort.
The core mechanism combines automated ingestion, document classification, missing-information detection, status tracking, and workflow orchestration. Cases are routed with the right context, supervisors can view bottlenecks in real time, and teams can prioritize exceptions instead of manually touching every case.
The differentiator is end-to-end case movement, not simple digitization. Role-based workflows, validation checkpoints, audit-ready reporting, and human review preserve control while reducing repetitive work.
This shifts the operating model from staff-driven case coordination to governed case automation.
Enrollment Case Automation Capabilities
Citizen Application Management Features
Novacis Digital deployed its AI Powered Case Automation Solution through a 6-week pilot across priority enrollment workflows where manual verification, classification, and status tracking created the greatest delays. The solution then scaled across broader citizen application management workflows over the following 8–10 weeks, supporting case workers, supervisors, and compliance reporting teams.
Early wins included faster application classification, earlier detection of missing information, real-time case status visibility, and reduced dependence on manual follow-up. These gains directly addressed the original challenge by replacing fragmented case tracking with governed automation that improved speed, accuracy, and citizen service.
Recovered $300K in annual case management capacity by reducing manual verification, classification, and tracking effort.
Reduced average case processing from 7–10 days to 2–4 hours, accelerating the path from intake to approval readiness.
Improved citizen-service responsiveness by delivering approvals and communications 3–5x faster across enrollment workflows.
Managed 200,000+ annual enrollment cases through a structured automation model for high-volume program operations.
Reduced missing or incomplete case information from ~12% to <2%, lowering rework and avoidable operational risk.
