Services

AI Assessment.
AI Implementation Advisory.
Fractional AI Leadership.

The assessments — ARC Readiness and the AI Governance Diagnostic — tell you where you stand. Advisory carries the work from pilot to scale. Fractional leadership gives you the seat before you can justify the hire. One framework underneath all of it, and every engagement designed around the people the change touches.

Outcomes, Not Decks.

We are a healthcare-native practice. Our work concentrates where AI meets patient access — specialty pharmacy HUB operations, payer and provider interfaces, and the manufacturer programs that depend on them. Engagements are measured in friction removed from the patient's path, not in deliverables produced. That is the standard ARC holds us to as well.

Assessthen Advise Embedpeople at thecenter Assessthen Advise Embedpeople at thecenter
01

The ARC Assessments

Two flagship assessments, one standard of proof. The ARC Readiness Assessment tells a healthcare organization where it stands before AI spending starts: about 35 questions across Data Strategy, Change Management, and AI Governance, scored so your weakest pillar sets your readiness — because strong data plus weak governance is not readiness, it is exposure.

The AI Governance Diagnostic is for organizations already running AI in decisions that matter. Every governance claim is graded on the evidence behind it — from what you told us to what you demonstrated live — and your score stops at what you can prove. It reads as a governance-readiness readout, not a compliance certification.

You leave with
Scored readiness mapProof-graded governance profileWhat to fix first, in order
Interviews with your leadership and the people who do the work — across clinical, payer, pharma-hub, and regulatory roles.
The assessment itself — every answer scored on evidence, so the readout shows which pillar holds you back and why.
A scored map, the one constraint to fix first, and a sequenced plan for the next four quarters.
Operations lead
02

Implementation Advisory

Advisory from pilot to scale — the stretch where most healthcare AI initiatives stall. We map the human terrain before the technology moves — who carries the change, who quietly resists it, who absorbs the displacement — and we design the transition with the same rigor as the deployment. Adoption support continues past go-live, because the change does not end there and neither do we.

You leave with
Pilot to scaleHuman terrain mappingTransition + adoption support
Deployment and terrain review — where the pilot sits and whose authority the system absorbs.
Displacement and adoption risk per role, mapped against the human terrain.
A transition plan and an adoption support cadence that persists past go-live.
Chess board mid-game — strategy in motion
03

Fractional AI Leadership

Embedded senior AI leadership for organizations that need the capability before they can justify the hire. We bring the governance architecture — decision tiers, audit trails, control points built for evolution — plus vendor evaluation grounded in one question: does this vendor solve the problem your own data says you have? Healthcare-native, monthly engagement, accountable to your board.

You leave with
Embedded advisoryGovernance architectureVendor evaluation
Strategy and portfolio review — what is in flight, what is stalled, what is exposed.
Governance and vendor gaps against the four control points built to survive model changes.
An operating cadence, the governance build, and board-level reporting.
How we engage

Diagnose. Design.
Sustain.

AI transformation has no go-live finish line. Models retrain, regulations move, and adoption either deepens or decays. Our engagements are structured for the long arc.

Stage 01

Diagnose

The ARC reading: where you stand, and what constrains you.

Stage 02

Design

The transition: technology, terrain, and governance designed together.

Stage 03

Sustain

The continuum: adoption support, governance evolution, measured friction reduction.

Get started

Every transformation starts with a conversation.

Tell us where AI is stalling — or where it hasn't started — and we will tell you what ARC would look at first.