You Need a Chief AI Officer. You Don't Need to Hire One Full-Time.
Health systems are racing to hire full-time CAIOs for a role they cannot fully define yet. There is a faster, cheaper way to get the same leadership: bring one in fractionally. We map your AI exposure, stand up the governance, and align your departments, without the $300k salary line.
Why Not Just Hire One Full-Time?
You have already seen the gap. AI is everywhere in your organization and nobody owns it. The obvious fix is to hire a Chief AI Officer. Right now, that is usually the wrong first move.
The job description is still being written. The talent pool is shallow and expensive. And you will not know exactly what you need the role to do until you have started doing it. Committing $300k-plus to a permanent hire on day one is how organizations end up with the wrong person in a seat they defined too early.
A fractional Chief AI Officer skips that bet. You get a working executive immediately, the governance gets built, and your team keeps the capability whether or not you ever hire full-time.
What a Fractional CAIO Delivers
Five things we own from day one.
Cross-Department Alignment
We get IT, legal, and compliance into the same room and the same decisions, so AI choices stop happening in three disconnected silos.
SAFE Framework Implementation
We run your organization through the SAFE Framework, which maps your AI exposure across three layers, Systems, Acquisition, and Frontline, with Executive Oversight sitting on top to tie all three together.
Vendor Risk Management
We set up a check with procurement so a vendor cannot quietly flip on an AI feature in a tool you already own without someone reviewing it first.
Policy and Training
We write an AI acceptable use policy a clinician will actually read, and train people in a way that pulls AI use into the open instead of pushing it underground.
Strategic Roadmap
We leave you with a 12 to 18 month plan that ties AI decisions to the clinical and operational goals you already have.
Governance Is Not the Cost. It Is the Unlock.
A fractional CAIO is not really a cost-control move. The same governance that keeps you out of trouble is what finally lets your people use AI on real work, and that is where the money comes back.
The governed AI platform we deploy strips protected health information out of a prompt before it ever reaches the model, then puts it back in the answer. It holds Business Associate Agreements all the way down to the model providers. And it logs every interaction, so the whole thing is auditable. That combination is what makes it safe for a clinician to use AI on a real patient, not a demo.
Once that is true, the value is just math. The figures below are modeled on a 5,000-person health system. In an engagement we run the same model on your departments and your salaries.
The Payoff, Modeled
Modeled on a 5,000-person health system. Yours will land differently. We build the number with you, department by department.
Where the Hours Come Back
Three high-volume workflows, and the hours a governed platform hands back. Modeled, not promised.
Prior Authorizations & Appeals
Around 40 hours a year per physician, the work cut by roughly a third. Modeled at $1.6M a year for a 5,000-person system.
Discharge Instructions
Around 40 hours a year per nurse, handed back to patient care. Modeled at $3.0M a year.
Treatment Planning
20 to 30 hours a year per physician, roughly 20% faster. Modeled at $1.3M a year.
How a Fractional CAIO Engagement Works
Real work from week one, capability that stays after.
Assess (Days 1-30)
We run a full Shadow AI risk assessment and map where you stand across all four SAFE layers. By day 30 you know your real exposure, including the vendor contracts and frontline habits nobody had looked at.
Design (Days 31-60)
We draft the AI acceptable use policy, set up the vendor review, and get IT, legal, and compliance aligned on one governance structure instead of three.
Implement (Days 61-90)
We roll the policy out, train the staff, and set the cadence for monitoring both the approved tools and the ones that slip through anyway.
Govern (Ongoing)
We stay on as your executive oversight, chair the AI steering committee, review new contracts, and adjust as the rules change. HIPAA included.
Why AuthenTech AI?
Most AI consultants want to talk about where healthcare is going. We would rather talk about what is already happening in your building this week.
We do not sell transformation decks. We sell governed enablement.
The way to get AI right in healthcare is to secure the perimeter first. And these days the perimeter is not your firewall. It is your people and the things they paste into a text box.
Stop Guessing About AI Governance.
Thirty minutes with Chance Sassano, founder of AuthenTech AI. Bring your messiest AI question. We will map it against the SAFE Framework and tell you honestly whether a fractional CAIO is the right fit, or not.