Start Here: Operational AI Governance for Healthcare AI
Building the governance systems that make healthcare AI more deployable, auditable, and buyer-ready
Most healthcare AI deployments don't fail because of the model. They fail when governance becomes the blocker - at procurement, at legal review, or at the moment a clinician asks: who is responsible if this goes wrong?
This is where I build, develop, and pressure-test the answer.
What this hub is
This is a working knowledge base on operational AI governance for healthcare AI - built on real enterprise deployment dynamics, regulatory requirements, and production governance experience.
The core thesis: EU AI Act, HIPAA, MDR, and FDA guidance are only useful if they translate into runtime-enforceable controls and procurement-grade evidence.
My focus is the execution layer where product, safety, evidence, and commercialization need to work together in practice - the gap between a working AI product and a deployable, governable, buyer-ready system.
What you'll find here
Frameworks Decision-grade analysis of governance gaps that matter in production: liability allocation, regulatory compliance maps, release architecture, clinical vs non-clinical AI governance.
Artifacts Public templates that enterprise reviewers actually expect: Evidence Pack Index, Release Gates, BAA frameworks for agentic workflows, Agent Readiness Classification, Liability Matrix.
Field Notes What enterprise procurement actually asks. Where BAAs break in agentic workflows. What CISOs want to see before saying yes.
Reference Architectures How governance controls become enforceable at runtime - not optional in documentation.
Where to start
If you're a healthcare AI vendor preparing for enterprise deals → Start with the Healthcare AI Agent Readiness Taxonomy (Tier 1–5) and the Evidence Pack framework
If you're a product or engineering team shipping clinical AI → Start with Release Gates and Go/Conditional Go/No-Go decision frameworks
If you're a health system or operator evaluating AI vendors → Start with the Due Diligence and Agent Registry artifacts
Each piece is standalone and actionable. You don't need to read everything - find your starting point and work from there.
Views are my own. No confidential information is shared.
Suggested citation: Kushpelev, V. (2026). Operational AI Governance for Healthcare AI — H-GCL Hub (v0.1). viktoriakushpelev.com.