How agencies measure ROI using KPIs, two-tier funding goals, AI-powered adjudication, fraud prevention, and equity-driven outcomes while building a strong case for sustained federal investment in modern UI systems.
Modernizing unemployment insurance requires more than technology; it demands strong policy, funding, and governance structures. Explore lessons from Tiger Teams, funding pathways, and the role of AI governance to build resilient, equitable UI systems.
Modernizing UI requires a secure, scalable, and future-ready system. Identity verification, AI-driven fraud detection, and API-first design are the core components of a modern UI tech stack for more equitable, efficient, and resilient benefits systems.
Intelligent Fact-Finding (IFF) redefines unemployment insurance adjudication by uniting automation, AI, and centralized workflows. IFF streamlines casework, reduces fraud, and improves equity for claimants and agencies alike.
America’s unemployment insurance system is at a breaking point. States must invest in AI-powered UI claims adjudication, modular unemployment insurance technology platforms, and modernized UI benefits administration systems.
Intelligent document processing (IDP) can increase efficiency by reducing data entry, manual processes, and human error – all while saving money.
The pandemic was a real eye-opener for many of us. We all thought that the “Great Recession” had put our systems to the test in terms of maximum throughput. That seems to have been wrong. Since 2000, we have learned new definitions of stress relative to systems and people.
A modular approach reigns supreme in UI modernization for large and intricate systems. Learn the advantages of modularity over monolithic architectures for optimal performance and scalability.
Discover the critical factors to consider when selecting a payment partner for government services. Learn how Catalis Payments can help.
