Industries Healthcare and healthtech
Healthcare and healthtech
AI in healthcare lives or dies on governance. We bring judgment earned inside pharmaceutical regulatory systems and healthcare data platforms.
- HIPAA
- HITECH
- Minimum Necessary
- BAA
- 25+ yrs enterprise IT
- Fortune 500 pharma & healthcare data
- Founder-led
The pressure
The data is sensitive, the rules are real, the scrutiny is constant.
Healthcare and healthtech run on protected data under HIPAA and a stack of clinical and privacy obligations. An AI agent with broad access to that data is not a convenience, it is a breach and a compliance finding waiting to happen. The pressure is to move on AI without becoming the cautionary tale.
What the rules require
What the rules actually require.
- HIPAA Privacy and Security Rules: protected health information stays access-controlled, and every touch is auditable.
- Minimum necessary: an AI agent should see only the data a task genuinely needs, not the whole record.
- Business Associate Agreements: any vendor or model in the data path has to be covered, and the coverage has to be verifiable.
- Breach notification: you need to know quickly and precisely what an automated system touched if something goes wrong.
Where it goes wrong
Where healthcare AI goes wrong.
- Silent over-collection
- An agent granted full-record access when the task needed three fields. Nothing looks wrong until an audit asks why.
- An uncovered model in the path
- A convenient API that never signed a Business Associate Agreement, quietly processing protected health information.
- Unreviewable automation
- An action taken with no record of what data drove it, which is the answer no compliance officer can accept.
What we bring
Judgment from inside regulated healthcare.
I have spent years inside pharmaceutical regulatory systems and healthcare data and AI platforms, environments where mistakes are expensive and everything is auditable. That is the judgment we bring: what is safe to automate, what needs a human in the loop, and what evidence you will need to show.
A governed workflow
A governed workflow: summarizing patient intake without exposing the record.
Take a common target, drafting summaries of inbound patient messages for a care team.
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The agent receives only the fields the summary needs, scoped by minimum-necessary rules rather than full-chart access.
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Any model or vendor in the path is checked against a current Business Associate Agreement before data moves.
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The draft summary routes to a clinician for approval; the agent never acts on protected data on its own.
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Every read, draft, and approval is logged with who, what, and when, ready to produce for an audit.
How Command Center fits
Governed AI for protected data.
Command Center deploys AI agents with permissioning, audit logging, and approval gates, so protected data stays controlled and every action is recorded. You get the capability without inheriting the exposure.
If you are accountable for getting AI right here, let's talk.
A short working session is the simplest next step. No pitch, just a clear read on where you stand and what is worth doing next.