Services · Fractional AI COE Emerging
Fractional AI COE embeds the function — a Chief AI Officer, a build motion, and an agent team — that stands up your AI Center of Excellence, runs the first few quarters, and hands you the keys. Governance and decision rights first; capability second. What you keep is a running system, not a deck.
Illustrative · the lifecycle every agent moves through
Charter signed · CEO — decision rights · risk review · sunset clause
The problem
The agent going live is the easy part — it's loud, it's visible, you'll know if it breaks. The hard part is quieter: who decides what gets built next, signs off that it's safe to touch a patient process, measures whether it worked, and stops it when it doesn't. Hiring a full-time Chief AI Officer and staffing a Center of Excellence is a 12-month, six-figure headcount bet most lean healthcare operators won't make before they've seen value. So the program stalls — not for lack of a model, but for lack of an owner with authority and a cadence.
What everyone celebrates
And then the questions start, and nobody owns them.
The four questions with no name attached
What a Center of Excellence should actually be
The real risk isn't that your agents fail — that's loud, you'll catch it. It's that your governance quietly goes inert, and false assurance is worse than none. So we stand up an authority structure, not a slide.
A handful of people you already employ, seated at 15–25% of their time. No new full-time headcount to justify before you've seen value.
Authority to stop or pivot agent work — not an advisory seat that gets briefed after the decision is already made.
The workflow teams design the agents. The CoE prunes and protects — it curates the portfolio, it doesn't build every branch itself.
Not the CoE lead. Authority comes from the top or it doesn't come — and everyone in the org needs to know it does.
Every mandate expires and renews on evidence. The quarterly re-scan is the heartbeat that keeps governance from going quietly inert.
What's inside
Three parts, built to work together: the room your CoE steers from, the agent team that keeps it current, and the delivery arc that transfers it all to your people.
The shared workspace where your CoE and its agent team steer the portfolio — with a leader-steering rollup, so whoever chairs the reviews sees the whole program on one board.
A non-PHI agent team that will analyze your portfolio and draft your governance artifacts — plus the curated vertical agents governed under it. Built with you as the program stands up.
How we personalize the scaffolding, run the first quarterly cycles, and transfer the cadence to your team — so what you're left with is a capability, not a dependency.
Built on the GraymatterLab AI-First Operating System — Playbooks, Agent Studio, and the AI-Powered Center of Excellence. The AI COE governs the workflow Playbooks — Patient Access & Experience, Revenue Cycle Management — it does not replace them. Most clients start with one workflow, then add the Center of Excellence.
The CoE agent team
The point of the agent team isn't to make the decisions. It's to do the standing work that makes good decisions cheap: keep the portfolio board current, draft the charter and risk-register artifacts, surface what's due for review. The people keep the veto.
In build Built with you as the program stands up — described here in design tense. Non-PHI: business and governance data only.
Move workflows through the lifecycle — intake, prioritize, govern, measure — so the board reflects reality between reviews.
First-pass charter sections and risk-register entries — the model/PHI/vendor/HITL checklist — for a human to review and sign.
Flag mandates approaching their sunset and capabilities worth re-scanning — the nudge that keeps the cadence honest. Never an unattended decision.
The agents draft; your people decide. Every artifact is human-reviewed and every mandate is human-signed — the veto is a person, not a model.
How we deliver it
Every engagement runs off the same chassis — templated scaffolding, personalized to your portfolio after one or two scoping sessions. What varies is the fill-in, not the frame. Then we transfer it, quarter by quarter, until you're running it.
Personalize the scaffolding, stand up the charter and Space, and run the first intake, prioritization, and governance cycles.
Your CoE lead chairs the reviews with us beside them; the quarterly re-scan runs with our facilitation as the network takes its seats.
Your team owns the cadence; we step back to a light coaching seat or exit at the maturity bar. The retainer steps down as you take the wheel.
"The playbook isn't complete until you can run it without us." The retainer steps down quarter over quarter — the commercial expression of "capability, not dependency."
What you keep
A deck gets handed off. A Playbook gets worked. When we step back, here's what's still standing in your tenant.
Six components, CEO-signed, with a sunset clause. Authority from the top, with an expiry that forces evidence.
The intake, prioritization, and governance cadence — running in your tenant, on one board the whole CoE steers from.
A portfolio under decision rights, risk review, and human-in-the-loop — each one traceable to who approved it and why.
Where you are and where you're going on the L0–L4 model — so progress is measured, not asserted.
An internal CoE lead, trained to run the cadence after we step back. The seat has a name, and it's one of yours.
Not a report on the program — the program itself, running, governed, and yours to steer.
Where it sits
The vertical Playbooks are the execution arms — each builds one workflow to value. The AI COE sits above them: it decides which workflows to run, governs every agent they produce, and scales the winners.
Sets the deployment strategy once — a sequenced roadmap of which agents to deploy, in what order. The Fractional AI COE runs the program against it.
A vertical Playbook that builds one workflow to value. The typical shape is workflow first, Center of Excellence second — govern what you've already got running.
Runs on the GraymatterLab Agent Platform. The CoE agent team itself is non-PHI — business and governance data only; the compliance substrate governs the vertical workflow agents it oversees.
Straight answers
What this is, what it isn't, who runs it, and what's real today versus on the roadmap. We'd rather tell you plainly.
It's an emerging offering — a productized AI COE we're bringing to market. The method and the human function are real and ratified; the operating surface and the CoE agent team are being stood up. We won't imply a delivered engagement we haven't run, and we won't claim a reference customer we don't have. When you engage, you get the method with the tooling standing up alongside it.
No. Fractional AI COE is the opposite of a headcount bet. Your Chief AI Officer is embedded part-time, and the CoE itself is a network — a handful of people you already employ, seated at 15–25% of their time. No new full-time roles to justify before you have seen value. The whole point is to give you the function now and transfer it to your team, not to sell you a permanent seat.
An agent team that will read your portfolio, draft your charter and risk-register artifacts, and keep the board current as the program stands up. It works business and governance data only — it is non-PHI. And it drafts; it never decides. Every artifact is human-reviewed and every mandate is human-signed. The veto is a person, not a model.
The workflow Playbooks — Patient Access & Experience, Revenue Cycle Management — each build one workflow to value. The Fractional AI COE sits above them: it decides which to run, governs every agent they produce, measures results, and scales the winners. It's the counterpart to Strategy & Execution, too — that engagement sets the deployment strategy once; the CoE runs the program against it, quarter after quarter. Most clients start with one workflow, then add the CoE.
Small and mid-sized, non-hospital healthcare — regardless of where you sit in the care continuum (specialty pharmacy, infusion, DME/HME, home health and hospice, diagnostics and labs, physician groups and FQHCs, and DTC healthcare are all represented today) — where leadership is lean and time, not just budget, is the binding constraint. It's built for the operator accountable for a number, not for an enterprise IT function.
It runs on the GraymatterLab Agent Platform — Google Cloud under signed Business Associate Agreements, tenant isolation, encryption, and a 7-year audit trail. The CoE agent team itself is non-PHI, working business and governance data only; the compliance substrate is what governs the vertical workflow agents the CoE oversees, which is exactly the point — the CoE is where that governance lives.
Let's spend an hour on your portfolio and your governance posture. Not a sales pitch — a working session. You'll leave with a sharper read on which workflow should come next and who should own the decision, either way.
Governance-first · no new headcount · you own it after the handoff.
