Build an AI governance program that works

The AI Governance Playbook helps health systems design and operationalize effective, sustainable AI oversight. It brings together real-world insights from more than 20 governance leaders with ready-to-use tools to accelerate implementation and reduce rework. The playbook includes:

  • An in-depth report based on conversations with AI governance leads at leading U.S. health systems. Use it to benchmark your program, anticipate challenges, and apply proven practices from peers.
  • A toolkit of implementation assets you can adapt immediately — from committee charters and meeting templates to risk rubrics, monitoring frameworks, and model contract terms — all grounded in real-world governance experience.

LAUNCH PRICE — $495

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With insights from leading health systems, including:

What’s Included

Comprehensive Report: A 32-page PDF covering how AI governance is structured and managed across 20+ leading health systems.

Benchmark Data: Statistical comparisons across 12 key governance dimensions to help you gauge your program’s maturity and identify gaps.

Committee Quick-Start Toolkit: A plug-and-play package including a sample charter, defined roles and responsibilities, and a ready-to-use meeting agenda.

Lifecycle Management References: Templates and examples for intake forms, risk matrices, contract terms, and other core governance materials.

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Why You Need this Playbook

The average large U.S. health system now runs 150 to 250 AI applications, up from fewer than 25 a decade ago. One leading academic medical center is already managing 400 internally developed models, not including third-party tools.

AI adoption is accelerating quickly, even as leaders work to understand the risks and requirements that come with it. The simple truth is that the pace of innovation has outstripped traditional governance frameworks.

Ignoring the challenge is not an option. AI solutions ranging from revenue cycle automation to clinical decision support offer too much value to slow down.

The solution is to create right-sized governance:

  • Risk pathways calibrated to each type of AI use case
  • Committees staffed with the right mix of expertise
  • Repeatable processes for validation and ongoing monitoring

The AI Governance Playbook gives you both the context and the tools to do it. Benchmark your current approach, identify what is missing, and build a governance lifecycle that ensures safety without stalling innovation.

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“If an organization is going to dive into AI, have guiding principles. Know what you stand for. Know what the boundaries are. Be able to communicate it, articulate it, explain it in a very easy to understand, shareable way.”

C-SUITE LEADER | LARGE ACADEMIC MEDICAL CENTER

Who This Playbook is For:

  • Health System Executives Advancing AI Governance Programs: Strengthen your existing governance framework with proven committee structures, sample membership models, and evaluation processes drawn from peer health systems.
  • Business or Clinical Leaders Aligning Cross-Functional Teams: Innovation, clinical, and IT teams often disagree on ownership. The playbook provides frameworks to establish shared definitions, decision criteria, and smoother evaluation pathways.
  • Innovation and Emerging Tech Leads Seeking Efficiency: Reduce one-off decisions and build repeatable, streamlined governance processes that accelerate safe and compliant AI adoption.
  • Organizations Validating Existing Programs: Benchmark your current approach against peers and access sample policies, workflows, and lifecycle templates to guide iteration.
  • AI Vendors Preparing for Health System Evaluation: Understand how potential buyers assess AI solutions and learn what documentation, validation, and monitoring evidence will help you move through review faster.

About the Authors

Bobby Guelich

Co-Founder and CEO | Elion

Bobby is the cofounder and CEO of Elion, a research and intelligence platform that helps healthcare organizations make smarter decisions about AI and emerging technologies. Before founding Elion, he was an early executive at Oscar Health and Formation Bio, where he saw firsthand the challenges of navigating a fragmented vendor landscape. That experience led him to start Elion, with the mission of helping healthcare organizations deliver high-quality care at lower cost through more confident, better-informed technology decisions.

Dr. Sarah Gebauer

Physician, Clinical AI Consultant, Researcher | Validara

Dr. Sarah Gebauer is a Stanford-trained physician and national expert in healthcare AI governance, validation, and safety. A former RAND Corporation researcher, she developed strategies for evaluating AI performance and reliability in national security and other high-stakes environments. As founder of Validara Health, she brings that rigor to healthcare, helping organizations assess the safety, reliability, and clinical integrity of AI systems. Dr. Gebauer writes widely on governance and the future of clinical AI.

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Elion AI Governance Playbook