Recent policy changes under H.R.1 are forcing states to rapidly scale eligibility redeterminations for programs like Medicaid and SNAP—significantly increasing workload and risk of administrative errors. This session explores how agencies can use modern data, analytics, and AI-driven capabilities to manage volume, improve accuracy, and maintain program integrity. By combining automation, anomaly detection, and intelligent document processing, organizations can reduce errors, detect fraud more effectively, and improve the overall applicant experience. The session also highlights how emerging agentic approaches could augment human workers by coordinating workflows, monitoring compliance, and proactively guiding eligibility processes.
Presenter: Andy Pitman, Microsoft and Albert Blackmon, SAS
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