About Viable

About Viable

The Story: From Patient to Pioneer

From Patient to Responsible AI Pioneer: Where Healthcare Governance Meets Lived Experience

The Story Behind Viable Health AI

For over 25 years, Dan Noyes built a career generating $250+ million in client revenue and leading digital transformation for Fortune 100 companies. Then a chronic medical diagnosis and treatment journey at Mayo Clinic changed everything—providing an unfiltered view of healthcare’s most vulnerable moments and the profound gap between AI’s potential and its responsible implementation.

This wasn’t just a personal turning point. It was a revelation about what healthcare AI truly needs: not just technical capability, but rigorous governance, ethical frameworks, and authentic patient advocacy working together.

The Rare Combination: Executive Strategy + AI Governance Expertise + Patient Perspective

Dan didn’t just pivot careers, he rebuilt his expertise from the ground up, earning over 40 certifications from Stanford, Wharton, Johns Hopkins, and Google Cloud in AI governance, ethics, policy, and responsible AI implementation. He studied FDA AI/ML guidance, WHO AI ethics frameworks, and regulatory requirements then built AI-powered patient support tools like Emma to demonstrate what responsible, patient-centered AI looks like in practice.

The result? A healthcare AI strategist who can sit in boardrooms discussing MLOps and governance frameworks—and then pivot to explain what happens when those governance structures fail patients like him.

What Makes Viable Health AI Different

We are the strategy partner that healthcare organizations need when they’re ready to implement AI responsibly, not just rapidly. We bridge three critical gaps:

  • Governance Gap – Most healthcare AI lacks proper oversight, assurance processes, and accountability structures. We implement FDA-aligned governance frameworks that protect patients and organizations.

  • Implementation Gap – AI tools that work in research labs fail in real-world clinical settings. We design patient-centered AI that clinicians will actually use and patients will trust.

  • Trust Gap – Patients fear algorithmic bias and black-box decision-making. We ensure transparency, fairness, and continuous monitoring as non-negotiables.

Our Mission: ROI That Serves Patients, Not Just Profit

Healthcare AI should deliver measurable outcomes—but never at the expense of patient safety, equity, or trust. We help organizations:

  • Implement AI governance frameworks aligned with FDA guidance and WHO standards

  • Build patient-centered AI that addresses real clinical needs, not just commercially attractive applications

  • Establish bias-tested, continuous AI models that ensure accountability and harm detection

  • Deploy responsible AI that closes health equity gaps rather than widening them

The Question Every Healthcare Leader Must Answer

Your organization is investing in AI. But can you answer these questions with confidence?

  • What governance processes ensure your AI serves vulnerable populations, not just “typical” patients?

  • How do you validate that your algorithms remain safe and effective after deployment?

  • Who is accountable when AI systems fail patients—and what recourse do those patients have?

  • Are you implementing AI responsibly, or just rapidly?

Viable Health AI exists because these questions matter.

Our story began with a patient experiencing healthcare’s failures firsthand. Our work ensures every AI implementation answers these questions before deployment, not after harm occurs.

Ready to implement healthcare AI with proper governance, patient-centered design, and measurable accountability? Let’s talk about what responsible AI looks like for your organization.

dan@viablehealthai.com
https://linkedin.com/in/dannoyes
(585) 230-9565

I typically respond within 24–48 hours.