Before any AI decision gets funded, get an evidence-based score of where you actually stand. Pick your door.
About 35 questions across Data Strategy, Change Management, and AI Governance — every rating graded on evidence, not optimism. Your readiness equals your weakest pillar, and the readout shows exactly where that is.
Explore the assessment ↗Grade the proof. Not the promise. Every governance claim is rated on the evidence behind it — from "you told us" to "you demonstrated it live" — and your score caps at the level you can prove. Starts with a free 20-minute self-check.
Explore the diagnostic ↗Not in healthcare? The ARC Adoption Assessment is your door — any industry, guided, evidence-graded →
ARC — the AI Readiness Continuum — is our diagnostic framework for healthcare organizations preparing for AI that absorbs judgment, not just work. Three weighted pillars: Data Strategy, Change Management, and AI Governance. Overall readiness equals the weakest pillar, and every benefit is measured the same way — patient friction reduced.
Read the framework ↗
AI is substitutive. It absorbs the judgment that used to define the workflow. ARC asks whether your organization is ready for that.
What data do you have, and is it AI-ready? Reports tolerate stale and fragmented data. AI training, validation, and audit cannot.
Two flagship assessments and two ways to keep the work moving. Each is scoped through the ARC framework — beginning with the ARC Readiness Assessment (about 35 questions) and designed around the people the change touches.
Not in healthcare? The ARC Adoption Assessment is your door →
AI transformation has no go-live finish line. Models retrain, regulations move, and the people carrying the change need support that persists past deployment. We structure every engagement as a continuum.
The ARC reading: about 35 questions across the three pillars, scored to find where you stand and what constrains you.
The transition designed as one system: technology, human terrain, and governance moved together, not in sequence.
The continuum: adoption support past go-live, governance that evolves with the models, and friction measured on the patient's path.
Field-level analysis of healthcare AI, specialty pharmacy operations, and the human side of change — for the people running the platform. The keynotes cover the rest.
The Hub Brief · Video podcast
Real engagements, described by sector only — the shape of the work, not the logos on it.
Leading requirements on a federally mandated overhaul of the pharmacy claims standard — building a system that ties every requirement to its source in the standard — turning a thousand pages of regulation into requirements a developer can build from, with a governed AI workflow that cites its sources or refuses to answer.
An AI readiness assessment across the firm's rules, knowledge, data, workflows, and appetite for AI — every rating traced to evidence, the findings converted into a ranked list of AI use cases, a set of governance approval gates, and a costed roadmap built for leadership sign-off.
Ankur Jain, Esq. is the creator of the ARC framework — the AI Readiness Continuum — and host of The Hub Brief podcast. Fifteen years across patient access, reimbursement operations, and enterprise change in life sciences and healthcare.
His core argument: AI does not enhance authority. It displaces it. ARC integrates data strategy, identity-aware change management, and AI governance into a single architecture, measured against one metric — the friction removed from the patient's path. J.D., MBA. Scottsdale, Arizona.
More about the practice ↗Artha exists because healthcare transformations fail at the human seam, not the technical one. The technology moves; the people dynamics do not. So we work framework-led and people-first — every transformation starts with a conversation, and every engagement ends with an organization that can carry the change without us.
Tell us where AI is stalling — or where it hasn't started — and we'll tell you what ARC would look at first.
Thirty minutes, on your calendar, no forms in between.
Prefer email? ankur.jain@arthaconsultinglab.com
