When COVID 19 hit, state Unemployment Insurance (UI) systems faced an unprecedented demand spike and aggressive fraud rings. Most systems survived, but few held up well. Today, many still run exactly as they did and that is the core problem.

Stable Isn’t the Same as Ready

Surviving a crisis is not the same as being built for one. Fixed legacy infrastructure cannot expand on demand. The next downturn, policy change, or fraud wave will test these systems again.

This reality has shifted federal priorities. Early American Rescue Plan Act funding focused on immediate emergency scaling. Current federal support emphasizes proactive fraud prevention and modular defenses. While original allocations were reduced under the Fiscal Responsibility Act of 2023, funding remains available including 600 million dollars from the Department of Labor dedicated to helping state agencies implement modular architectures. However, this funding window will not stay open forever. States can no longer afford high risk, multiyear overhauls. They must maximize federal dollars through targeted modernizations.

Architecture Built for a Different Era

System instability stems from two structural flaws:

  • Batch Oriented Processing: Legacy cores rely on overnight and periodic batch cycles instead of real time processing. When volume spikes, batch windows back up and stall the entire system.
  • Fragmented Fraud Detection: Fraud tools are bolted onto the core rather than integrated into it. They run on delayed data exactly when organized fraud networks strike fastest.

Agencies often stall due to rigid budget cycles or resort to standalone fraud tools that treat symptoms rather than the underlying system.

How ReDuX Modernizes UI Systems Without the Risk

Fixing monolithic systems requires breaking them down into microservices, which are smaller, independent modules that update and scale without disrupting the entire application.

Traditional tech partners attempt this by deploying massive teams to manually map systems and draft multiyear roadmaps. This approach is slow, costly, and high risk. Modernization does not require a rip and replace gamble.

Karsun’s ReDuX platform uses agentic AI to modernize legacy cores incrementally, avoiding the outage risk that stalls modernization efforts:

  • Strategic Architecture and Workflow Optimization: System experts collaborate with intelligent tools to analyze legacy dependencies, refine workflows, and architect a scalable target environment. 
  • Risk Mapping: Blueprinting agents map legacy code and its connections to fraud tools, highlighting hidden dependencies before execution. 
  • Real Time Transition: Agents replace overnight batch cycles with real time streaming pipelines, integrating fraud detection directly into claims processing so threats are caught while actionable. 
  • Human Oversight: Domain experts review and guide every agent task, ensuring continuous accuracy while compound skill improvements enhance efficiency over time. 
  • Parallel Migration: Legacy and modern systems run simultaneously. Agencies migrate workflows in validated phases, maintaining service continuity without betting everything on a single cutover date.

The Bottom Line

Agencies that wait for the next crisis end up repeating the same frantic scramble. With ReDuX, state agencies can modernize incrementally today to ensure scalability, resilience, and real time processing tomorrow.

If your agency is ready to move beyond stabilizing your UI system and start modernizing for scalability, resilience, and real-time processing, contact us to schedule a live demo with our team.