I was reading an article in HDM (Health Data Management) this week, “The AI Pilot Trap: Why Promising Tools Fail to Scale,” which was about governance. I talked through it with Geoff Baum, our newly announced Head of AI, and the question got sharper: governance of what, exactly?
That vagueness is survivable when the AI is a search box. You ask, it answers, you move on. Agentic AI breaks that grace period. An agent that takes actions, chains decisions, and operates over time will find every soft spot in a governance framework that was written for something simpler. In low-stakes work, vague governance is an inconvenience. In healthcare operations, it’s a liability waiting for an audit.
There are four things a healthcare operations leader should be able to answer about any agent in their environment:
The data. What is the agent drawing on, and is that source consistent today and tomorrow? Most governance conversations stop here. It’s necessary and nowhere near sufficient.
The scope and autonomy. How far can the agent run without a human, where are the escalation points, and what happens when it reaches a decision that exceeds its authority? Because an agent works across time, a bad call doesn’t announce itself. It surfaces later, after the downstream effects have already landed.
The output. Who reviews what the agent produces before it reaches a patient-facing workflow or triggers an action? Is that review step built into the surface, or just assumed?
The audit trail. When the agent acts, can you reconstruct what it saw, what it decided, and why? Or is it a black box between input and output?
Most organizations can answer one or two of these. Almost none can answer all four. That gap is where the liability lives — exactly where frameworks built for simpler tools fall short.
VIA, Veoci’s built-in AI assistant, was designed around all four. Data is scoped through Knowledge Spaces. The source is defined, not assumed. The architecture sets autonomy limits; a policy document doesn’t. Every output goes to a human before it goes anywhere else. And the audit trail is native to the platform it already runs on, not a bolt-on.
A governance committee reviewing the tool after go-live isn’t governing the agent. It’s hoping.A governance committee that meets quarterly isn’t governing an agent that acted four thousand times this month.
If you’re building an AI governance framework in a healthcare environment right now, which of the four questions is the hardest to answer in your organization?
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ABOUT THE AUTHOR
Fredric Laurentine leads Veoci’s healthcare vertical, helping hospitals and IDNs strengthen emergency management, continuity, and real-time operational coordination.