Healthcare AI Governance

Your AI initiative is moving fast.
Your governance framework
shouldn't be catching up.

AxisAI Governance helps healthcare compliance leaders, clinical informatics teams, and health IT organizations assess, govern, and deploy AI safely — with practical frameworks built for the real regulatory environment you work in every day.

7 Healthcare AI risk domains
15+ Years in regulated AI environments
HIPAA · FDA · TJC Regulatory frameworks mapped
Frameworks covered HIPAA Privacy & Security FDA AI/ML SaMD The Joint Commission ONC 21st Century Cures CMS Conditions of Participation NIST AI RMF 1.0 ISO/IEC 42001

Healthcare AI is moving faster than the guardrails around it.

Across the country, hospitals, health plans, and health IT companies are deploying AI tools — in clinical workflows, revenue cycle, patient engagement, and beyond. The technology is advancing quickly. The governance infrastructure is not keeping pace.

Compliance teams are navigating overlapping FDA, HIPAA, ONC, and CMS obligations with no shared playbook. Clinical leaders are being handed AI tools they didn't choose and can't fully evaluate. Risk officers are asking the right questions but don't yet have the frameworks to answer them consistently.

AxisAI Governance was built to close that gap. Not with theory — with practitioner-built tools, templates, and frameworks grounded in 15+ years of deploying AI in some of the most regulated environments in the United States.

"The question is no longer whether to use AI in healthcare. The question is whether your organization has the governance infrastructure to use it responsibly — and what happens to patients if you don't."
— Padma K., Founder, AxisAI Governance
Practical over theoretical
Built for regulated environments
Human-centered AI deployment
Patient safety first

You're not alone in finding this hard.

Healthcare AI governance is genuinely new territory. The leaders navigating it are doing so without a map — often across compliance, clinical, and technology teams that don't share a common language.

Challenge 01 Clinical Safety

No agreed standard for how much validation is enough before clinical AI goes live

Organizations are making deployment decisions without a shared framework for what constitutes sufficient clinical evidence — and regulators are watching closely.

Challenge 02 Regulatory Ownership

FDA, HIPAA, TJC, ONC — nobody in the organization owns AI compliance end to end

Overlapping obligations with no single accountability owner creates gaps between compliance, IT, and clinical teams — and exposes organizations at audit time.

Challenge 03 Health Equity

Algorithmic bias in clinical AI goes undetected until harm has already occurred

Most organizations have no systematic process for testing AI performance across race, ethnicity, sex, age, and payer groups before — or after — deployment.

Challenge 04 Vendor Risk

EHR vendors are embedding AI into workflows without clear notification

Clinicians are using AI features they didn't explicitly choose. Compliance teams don't know what BAAs cover, what data is being used, or where liability sits.

Challenge 05 Governance Gaps

There is no proven internal playbook for building an AI governance program from scratch

Every organization is creating its own model inventory, board reporting, and change protocol — independently, without the benefit of what others have learned.

Challenge 06 Generative AI

GenAI is entering clinical documentation and patient communication faster than policy can follow

Ambient AI scribes, clinical summarization tools, and patient-facing chatbots are live — often without a governance framework, model risk assessment, or audit trail.

Is your organization navigating one of these challenges? Tell us what you're facing. We read every response.

Share your challenge

Practical tools, not more reading material.

Everything we publish is designed to be used — in governance meetings, audit conversations, board presentations, and deployment decisions.

Coming Soon!

Healthcare AI Governance Starter Checklist

A one-page reference covering all 7 healthcare AI risk domains — mapped to HIPAA, FDA AI/ML guidance, and The Joint Commission. Use it in your next governance meeting.

Coming Soon!
Template

Healthcare AI Risk Assessment Template

A complete, practitioner-built assessment covering clinical safety, data privacy, regulatory compliance, algorithmic bias, and operational risk. Designed for real governance workflows.

Get early access
Regulatory guide

FDA AI/ML SaMD Compliance Guide for Health IT Teams

A plain-language walkthrough of FDA's Software as a Medical Device framework — what it means for your AI tools, what triggers regulatory oversight, and how to prepare.

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Coming soon

Healthcare AI Audit Readiness Template

An examiner-ready audit template with evidence request checklists, test scripts, and findings documentation — built for compliance officers preparing for regulatory review.

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PK
Padma K.
Founder, AxisAI Governance
SAFe Agilist PMP CSPO SAPM MBA BS Computer Science

Built by a practitioner who has lived this problem.

AxisAI Governance was founded on a simple conviction: the people who most need AI governance frameworks are the ones with the least time to build them from scratch.

Our founder spent 15+ years leading enterprise AI, digital product, and risk programs in some of the most regulated environments in financial services — building the exact kind of governance infrastructure that healthcare organizations are now urgently trying to create.

That experience — working at the intersection of AI product strategy, model risk management, regulatory compliance, and organizational change — is what every template, checklist, and framework here is built on. Not theory. Not generic best practice. Tested operational knowledge.

  • 15+ years leading AI and digital product strategy in regulated Fortune 100 environments
  • Led enterprise GenAI programs spanning 200+ use cases and 140+ stakeholders
  • Deep experience in model risk management, responsible AI, and regulatory governance
  • Executive education: Stanford, Wharton, BCG, Duke

Tell us what you're navigating.

Whether you have a specific governance challenge, want early access to our templates, or simply want to share what's hardest about AI in your organization right now — we want to hear from you. Every message is read personally.

Share your challenge and receive our free Healthcare AI Governance Starter Checklist — delivered to your inbox within 24 hours.

Email us directly

inquire@axisaigovernance.com
🎁 Free when you submit: Healthcare AI Governance Starter Checklist
7 risk domains · HIPAA, FDA & TJC mapped · Ready to use in your next governance meeting

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