Video: Ohio House Testimony: AI & Medicaid Fraud
June 7, 2026 | Sabrina Donley, AI Practice Leader, CybrCastle
Recently, the Ohio House of Representatives Medicaid Committee asked us about AI.
The question was:
How can AI help Ohio catch Medicaid fraudsters before they take millions of dollars from the people who need it most? And how can AI—when used strategically, securely, and with proper human oversight—deliver both a return on investment and a return on purpose for this program?
As part of that discussion, the Committee invited CybrCastle to testify on how AI could help investigators uncover patterns, connect information across systems, and get the right information to the right people at the right time—while maintaining human oversight and accountability.
See the CybrCastle testimony above.
Interested in the broader fraud-prevention state and national conversation that led to these discussions?
Watch the remarks from Vice President JD Vance and leaders from Ohio that initiated the Ohio Medicaid Committee discussions.
What is the highest-stakes challenge facing your organization today?
This isn't just a story about Medicaid.
It's a story about starting with a high-stakes challenge and asking:
Could AI help us solve this better – cost neutral, with significantly more capability – so our people can focus on what they do best?
For some organizations that challenge is fraud detection.
For others it may be workforce shortages, operational inefficiencies, compliance requirements, infrastructure management, customer service, financial stewardship, or getting better visibility into critical data.
What is the highest-stakes challenge facing your organization today?
And have you wondered whether AI could help address it in a cost-neutral way while providing significantly greater capability than your current approach?
Schedule a Strategic AI Consultation Today: