Register Today
Artificial Intelligence and Machine Learning (AI/ML) in Medicaid: Exploring Options for Federal Funding
Updated on: February 25, 2026
Published on: February 25, 2026
Are you facing questions regarding the selection, adoption, implementation, and financing of artificial intelligence and machine learning (AI/ML) Medicaid solutions?
AI/ML is rapidly reshaping Medicaid to support program integrity, eligibility and enrollment, care management, and operational efficiency. However, many state Medicaid agencies still lack a clear, state-led strategy for adopting AI responsibly and optimizing available federal financing to support valuable AI solutions.
Medicaid leaders are turning to AI/ML to modernize under growing cost and staffing pressures. Without a clear framework for governance and financing, states risk compliance issues, poor investment alignment, and lost federal matches. This upcoming webinar will help you navigate to a strong framework for effective AI governance and maximum federal financing that is more likely to help the beneficiaries you serve. Join PCG experts Dr. Asma Adnan and Dr. Lisa Maiuro for a 60-minute focused webinar designed to help Medicaid leaders move from interest to confident action.
Join us on April 2, 2026, at 10 AM PT / 12 PM CT / 1 PM ET. Register now to reserve your spot.
The Challenge: Innovation Without a Roadmap
If you’re like many states, you may be experiencing pressures to adopt AI based on:
- Medicaid operational pressures: This includes workforce shortages, backlogs (eligibility, provider enrollment, TPL, surveillance), and rising fraud, waste & abuse
- National acceleration of AI in both the private and public sectors
- CMS focus on outcomes
- Vendor-initiated AI solutions
AI/ML can deliver significant value, but only when used strategically. Medicaid leaders must pinpoint where AI can genuinely improve operations, manage regulatory and financial risk, and distinguish real program benefits from vendor hype. Just as importantly, they need clarity on which federal funding pathways—90/10, 75/25, 50/50, or 1115 waivers—apply to each use case; without this, states risk missing federal match opportunities and investing in solutions that fail to meet program needs.
The Solution: A State-Led Framework for AI Adoption with an Understanding of Funding Options
Our upcoming webinar provides Medicaid leaders with a practical, decision-ready framework for responsible AI adoption and funding. Aligned with CMS expectations, the roadmap integrates governance, policy, risk management, and financing, helping states evaluate AI/ML initiatives through a Medicaid-specific lens and position investments for long-term sustainability and approval.
What You’ll Learn
Participants will gain actionable insights into:
- How to finance AI solutions and align AI/ML use cases with appropriate federal funding authorities
- Why state-led governance is critical to managing AI/ML risk
- The core components of a responsible Medicaid AI strategy
Who Should Attend
This session is designed for senior Medicaid leaders responsible for strategy, technology, and federal funding, including:
- Medicaid Directors and Deputy Directors
- CIOs, CTOs, and Chief Data Officers
- Policy, Program, Innovation, and Finance Leaders
- IT, Enterprise Systems, and Federal Funding Executives
Why This Matters Now
As budget pressures increase and service demands grow, Medicaid agencies must modernize responsibly. This session equips leaders to make informed, defensible AI/ML decisions—protecting public dollars, maximizing federal match, and improving outcomes for Medicaid members.
