Unemployment Insurance
Between late 2025 and mid-2026, a series of articles detail how state unemployment insurance programs are leveraging advanced payment technologies, AI-driven fraud detection, behavioral intelligence, and strong policy frameworks to modernize systems, improve tax collection, prevent sophisticated fraud like fictitious employers, measure ROI effectively, and build resilient, equitable UI infrastructures despite challenges such as increased fraud risks from faster systems.
Payment Solutions for Unemployment Insurance Programs
May 27, 2026
Modern payment technology reshapes how state UI agencies collect employer taxes and recover overpayments. Digital payment channels, automated reconciliation, and real-time reporting accelerate collections, reduce administrative burdens, and support long-term trust fund solvency.
From Backlogs to Breakthroughs
April 2, 2026
Stop drowning in data. Learn how Mark Mayfield and the Catalis UI Solutions team use algorithmic scoring to transform UI investigative units from reactive “claims checkers” into proactive “integrity officers” who focus on high-value fraud.
The UI Modernization Paradox
March 17, 2026
State agencies have invested millions of dollars into “modernizing” their unemployment insurance infrastructure. Yet, many leaders are discovering a frustrating paradox: new, faster systems can sometimes mean faster fraud.
Fictitious Employer Fraud Prevention
March 3, 2026
Traditional oversight often misses sophisticated ‘ghost’ entities that drain resources before claims are even flagged. Behavioral intelligence and the Fictitious Employer module from Catalis UI Solutions let agencies identify high-risk accounts in real-time and stop improper payments at the source.
Measuring ROI & Advocacy
January 7, 2026
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.
Policy Playbook
December 10, 2025
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.
UI Tech Stack Essentials
November 21, 2025
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)
October 23, 2025
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.
UI Adjudication in Crisis
October 8, 2025
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.
Related
Intelligent Fact-Finding (IFF): The Future of Unemployment Insurance Casework
Intelligent Fact-Finding (IFF) is a transformative approach to Unemployment Insurance adjudication that replaces fragmented, siloed workflows with a centralized, automated, and transparent system, consolidating employer, claimant, and third-party data into a single record to enable faster, fairer, and more resilient casework while reducing delays, errors, and redundant paperwork.
UI Modernization Policy Playbook: Funding, Governance, and Tiger Teams
The UI Modernization Policy Playbook emphasizes that beyond technology, effective unemployment insurance reform requires robust policy frameworks, innovative funding strategies, and governance models, drawing on lessons from pandemic-era Tiger Teams which revealed systemic operational weaknesses and highlighted scalable best practices like integrated software solutions, automated fact-finding, and transparent decisioning systems to enhance claimant communication, reduce delays, and improve trust in state UI systems.
UI Adjudication in Crisis: States Must Update Unemployment Systems Now
The article highlights the urgent need for states to modernize their outdated unemployment insurance adjudication systems, which have been overwhelmed by surging claims, fraud, and equity issues exposed during the pandemic, emphasizing that scalable, integrated, and user-friendly technology solutions are essential to prevent backlogs and ensure timely benefits for vulnerable populations amid diminishing federal funding.
Measuring ROI in UI Modernization - KPIs, AI, Federal Funding
The article emphasizes the importance of measuring ROI in modernizing unemployment insurance adjudication by using a two-tier KPI framework—focusing first on state-funded goals like staff-hour savings through automation—and advocates for demonstrating measurable value to secure sustained federal funding and justify investments amid competing budget priorities.
Wyoming Partners with Catalis to Combat Unemployment Insurance Fraud
Wyoming’s Department of Workforce Services has partnered with Catalis to implement a modular fraud prevention solution targeting fictitious employer schemes in the state’s unemployment insurance program, aiming to enhance program integrity, optimize resources, and protect taxpayer dollars amid widespread UI overpayment issues nationwide.
Regulatory & Compliance
The Regulatory & Compliance section highlights advancements in unemployment insurance modernization through AI-driven fraud detection, algorithmic scoring, behavioral intelligence, and policy reforms that transform agencies from reactive claim processors into proactive integrity officers, emphasizing secure tech stacks, ROI measurement, and governance to build equitable, efficient, and resilient UI systems.