AI Readiness Assessment for Healthcare — ARC Readiness Assessment

Built for your world

Built for your world. Not everyone's.

A hospital's data problem isn't a pharmacy's. A PBM's automation pressure isn't a hub program's. You pick who you are, and every question that follows is written in your language.

Your EHR isn't a data strategy. We ask what your clinical data can actually support, whose decisions your AI would take over, and who could stop an algorithm that starts getting it wrong.

Built for the settings that make healthcare run

Hospitals & health systemsClinical data you did not design, and decisions AI is starting to take over.

Specialty pharmaciesMany systems, one patient, and no shared record between them.

Pharmacy benefit managersAutomation lands on prior authorization and claims first.

Hub services providersCare coordination that still runs on people and workarounds.

Coming next

EMS organizationsDispatch, documentation, and billing, with medical direction over all of it.In build

Blood centersCollection and release decisions under manufacturing-grade rules.In build

Clinical labsSoftware that scores, flags, sorts, and releases results.In build

Same questions, same standard of evidence — asked in the language of your setting. If yours is marked in build, the guided assessment can still run today; the self-serve version follows.

The problem

Enthusiasm is not readiness. Most scores can't tell the difference.

Pilots launched. Licenses bought. Adoption tracked. That's what gets counted as "ready" — and it misses what makes AI different. Every technology before this one sat beside your people's judgment. AI takes the judgment over. It reads the scan, flags the claim, routes the patient — decisions someone used to own. An organization can clear every conventional readiness bar and still be unprepared for the first AI decision that goes wrong. Usually, it finds out at the worst possible time: after deployment.

What we measure

Your data. Your people. Your rules.

01 Your data

Can it support AI?

Reports forgive messy data. AI doesn't. A model trained, tested, and monitored on fragmented or stale data fails quietly and confidently. We read what you actually have — not what the system diagrams say you have — and whether it can carry the weight you're about to put on it.

02 Your people

Are they ready to hand over judgment?

AI doesn't just change workflows. It takes over decisions people built careers on — and no training session fixes that. We map who's affected, who carries the change, who quietly resists it, and whether anyone has honestly reckoned with the authority those people are about to lose. Because that's what stalls deployments. Not the technology.

03 Your rules

Will they survive the next model?

Who decides what the AI gets to decide? Rules written around today's software die with today's software. We check whether your rules stand on things that don't change — who's accountable, what gets logged, when a person must step in — so they outlive any system they were written for.

How the scoring works

Your score is your weakest area. On purpose.

Most assessments average your strengths against your weaknesses and hand you a comfortable number. We don't. Strong data can't compensate for people who don't trust it. If you score a 4 on data and a 2 on people, you're a 2 — because the deployment that fails will fail through the 2.

Two more things most tools won't do. If too many questions go unanswered, we don't score you at all — we'd rather say "not enough to go on" than hand you a number we invented. And your free result is clearly marked "Self-reported — unverified," because that's exactly what a self-assessment is.

1

Your answers land

About 35 of them, in your organization's own language.

2

Three areas score

Your data, your people, your rules — each read on its own.

3

The weakest one is found

No averaging. The lowest area is the one that decides.

4

Your stage is set

One of five — read from that weakest area, nowhere else.

5

Your report comes together

The stage, the weakest area, and the short list of decisions that would move it.

05

Adaptive

Built to absorb the next model, not just this one.

04

Integrated

Data, people, and rules working as one system.

03

Structured

Real plans, real owners, early discipline.

02

Emerging

Pockets of progress, nothing connected.

01

Fragmented

Every team solving AI on its own.

Readiness reads from the weakest pillar.

What you get

A report you can act on Monday, not frame for the board.

You get your stage, your weakest area, and the short list of decisions that would move it — not a trophy number for a board slide.

The guided version goes further, because your whole leadership team answers — each person covering what they actually own. It then checks those answers against each group your AI touches and shows where readiness is uneven. It's a reading, not a verdict on each group. It tells you where to look before something breaks there.

And when your CIO answers 4 and your quality director answers 2 on the same question, we don't split the difference. We flag it. That disagreement is one of the most useful things an assessment can find.

Thinking about AI that acts on its own?

If AI that acts without a person clicking approve is anywhere on your roadmap, the guided assessment adds one look ahead: not whether you could build it — whether you could keep it safe at full volume. If that's not on your horizon yet, skip this and come back when it is.

ARC · Guided Readout · readiness by perspective Sample — fictional data

PatientsOn track

CliniciansNeeds attention

PayersAhead

Pharma partnersOn track

RegulatorsNeeds attention

readiness is never evenly spread ↑

Guided assessment · leadership team answersWhere to look first

A bar chart showing how far each area sits from the next stage, with the two widest gaps called out. — What is holding the stage down, and by how much. Made-up organization, sample data.

A scatter chart placing each AI use by how much it shifts a human decision against how well the foundations behind it hold up. — What is holding the stage down, and by how much. Made-up organization, sample data.

Two ways to run it

Start free. Go deeper when it matters.

Self-Assessment

Free · about 20 minutes

Who answers

One leader, about 20 minutes.

What it reads

Your answers, as given.

What you see

Your stage, your weakest area, your first move.

Self-reported — unverified

Find your weakest area, free ↗

Guided Assessment

With our team

Who answers

Your leadership team, each answering what they actually own.

What it reads

The same questions — plus the disagreements between your leaders, flagged as findings.

What you see

The full picture: readiness as each group your AI touches would experience it, plus the look ahead at AI that acts on its own.

A team reading — cross-checked

The free check tells you where to look. The guided assessment tells you what to do.

Who's behind this.

ARC comes out of Artha Consulting Lab — built by Ankur Jain, Esq. after fifteen years inside biopharma, pharma, and health-system transformations, watching confident readiness scores fund deployments that failed. This is the same set of questions we use in paid engagements. The free check is the first rung of the real thing, not a quiz built to capture your email.

What this is not.

It's not a certification — nobody should certify readiness from a questionnaire, including us. It's not a vendor recommendation, a legal opinion, or an implementation plan. And a high score is not permission to deploy — it means fewer things standing in your way, and the report tells you exactly which things remain.

Questions leaders ask

Before you start.

Whoever owns the AI question — strategy, operations, informatics, quality. It's built for one respondent. The guided version is where the rest of your leadership comes in.

It's enough to know where to look. About 35 questions, written for your type of organization, scored against your weakest area — built to find the constraint. What it can't do alone is cross-check one leader's view against the rest of your team. That's what the guided assessment adds.

They produce your report, and they stay yours — no public benchmark, no directory, no sharing. No patient data is involved anywhere: the questions are about your organization, not your patients. Guided engagements run under a confidentiality agreement before anything is discussed.

No — and be careful with any assessment that says yes. A high score means fewer obstacles. The report names the ones left.

It's arguably the most useful time. The assessment reads what's actually live — and mid-flight is when the weakest area starts to show.

Twenty minutes. One honest number — or none at all.

If there's not enough to go on, we say so instead of inventing a score. Built for your kind of organization, marked for what it is. Find your weakest area before it finds you.

Find your weakest area, free ↗ See a sample report ↗

Know your weakest link before AI does.