From Tiger Teams to New Funding Frontiers
This is post four of our five-part series on the future of Unemployment Insurance (UI) adjudication and modernization.
Technology is only half of the modernization equation. Policy frameworks, funding strategies, and governance models ultimately determine whether unemployment insurance (UI) reforms take root and endure. In Parts 1 through 3, we covered the depth of the adjudication crisis, the promise of Integrated Fact-Finding, and the essential tech stack for modernization, including the role of unemployment insurance software for government. In Part 4, we turn to the policy playbook: what states can learn from past reviews, how they can navigate funding gaps, and where new opportunities lie.
Lessons from the Tiger Teams
During the pandemic, the U.S. Department of Labor (DOL) deployed “Tiger Teams” to review state UI operations. These teams identified systemic weaknesses: outdated eligibility rules, poor claimant communication, and fragmented adjudication processes. They also surfaced best practices worth scaling across any state unemployment insurance platform.
Some findings were stark: claimants receiving contradictory notices from different parts of the agency; workers locked out of portals not optimized for mobile use; and delays stretching weeks because multiple systems couldn’t talk to each other. Caseworkers often had to manually reconcile data across separate platforms, which is time that could have been spent on adjudication case management for unemployment insurance.
Tiger Teams also highlighted solutions. States that used unemployment insurance software with IVR and chatbot support to handle basic inquiries reduced call center strain. Agencies that invested in automated fact-finding and document upload portals for UI cut paperwork hurdles and improved claimant satisfaction. And those that piloted transparent and explainable UI decisioning systems improved trust, even when determinations were unfavorable.
The lesson is clear: when technology, policy, and equity are aligned, modernization succeeds. But alignment requires resources.
The Funding Gap After ARPA
For a moment, the American Rescue Plan Act (ARPA) promised to fund UI modernization. Dozens of states scoped projects to replace COBOL-era unemployment benefits processing systems with modular unemployment insurance technology platforms. Plans often included AI-enabled UI claims systems aligned with federal procurement, new fraud prevention tools for unemployment insurance, and federal UI reporting and compliance solutions.
But when those grants were rescinded, the financial foundation vanished. States were left with blueprints but no bricks. Many had already invested in assessments and vendor evaluations, but now they face a choice: shelve plans indefinitely or identify alternative funding paths.
New Funding Frontiers
- State Appropriations
Some states are stepping up with their own budgets, funding modernized UI benefits administration systems to avoid repeating the backlogs and fraud losses of the pandemic. While politically challenging, this approach offers independence from federal cycles.
- Multi-State Consortia
Several states are exploring shared platforms. By pooling resources, they can build state unemployment insurance platforms that leverage economies of scale. This model allows smaller states to access advanced tools like AI-powered unemployment claims adjudication software, UI claims management software, or UI overpayment and recovery tracking software that might otherwise be unaffordable.
- Public-Private Partnerships
Vendors increasingly offer financing models where implementation costs are spread over multi-year contracts. This allows agencies to deploy innovative UI software built on secure government AI stacks or scalable cloud-native UI platforms built for federal standards without massive upfront costs. States pay gradually, aligning expenses with realized savings.
Governance Matters
Funding alone is not enough. Poor governance can squander even the best technology investments. That’s why states must embed governance into modernization from the start.
This includes adopting an AI governance-ready unemployment insurance platform that provides transparency, audit logs, and explainable outputs. It also means ensuring all new systems are compatible with federal oversight, for example, deploying a federally compliant AI UI solution with audit logs that support both compliance and claimant appeals.
Governance is also about equity. States must implement guardrails to ensure unbiased AI adjudication tools for UI benefits do not perpetuate discrimination. Regular audits, diverse training data, and claimant feedback loops help build systems that serve all workers fairly. Some states are also turning to AI-neutral unemployment claims processing software to ensure impartiality throughout the eligibility and adjudication process.
Making the Case for Investment
Policy leaders face a tough sell: why invest millions in UI modernization when the unemployment rate is low? The answer lies in preparedness. Crises cannot be managed by building on demand. They must be prepared in advance.
The pandemic showed the cost of inaction: billions lost to fraud, millions delayed in receiving benefits, and agencies forced into reactive firefighting. Investing now in end-to-end unemployment insurance solutions for states ensures resilience when the next downturn arrives. These investments also support identity verification systems for UI claims, real-time eligibility determination for UI benefits, and the unemployment appeals and hearings management software agencies need to handle complex caseloads.
Leaders can also frame modernization as a workforce policy. Faster, fairer adjudication reduces financial precarity, helping displaced workers reenter the labor market more quickly. Equity-focused systems reduce disparities across demographic groups, supporting inclusive recovery. Forward-leaning states increasingly see modernization as a future-ready unemployment benefits tool with advanced AI rather than a one-time tech upgrade.
Conclusion
The Tiger Teams revealed the cracks. The rescission of ARPA revealed the fragility of federal funding. But state appropriations, consortium models, and public-private partnerships reveal that opportunities remain for forward-thinking states.
The policy playbook is clear:
- Learn from past reviews.
- Fill funding gaps with state, consortium, and partnership strategies.
- Embed governance and equity into every investment.
In Part 5, the final installment of this series, we’ll examine how to measure ROI and advocate for sustained federal support. Because modernization is not just about building systems; it’s about proving their value and securing their future.
Catalis brings policy and technology together, helping states maximize funding opportunities like consortia models while implementing cost-effective modernization. Our modular unemployment insurance technology platform is designed to meet both today’s policy challenges and tomorrow’s compliance needs. Whether states are pursuing AI-powered unemployment claims adjudication software, AI-neutral unemployment claims processing software, or a modernized UI benefits administration system, Catalis offers a future-ready unemployment benefits tool with advanced AI that supports compliance, transparency, and resilience.
Partner with Catalis to align your policy goals with the right technology strategy. Our experts can help you secure funding, modernize your systems, integrate identity verification systems for UI claims, streamline adjudication with automated fact-finding, and deploy a comprehensive unemployment insurance solution for government that brings policy and technology into lasting alignment.