AI readiness assessment

A structured evaluation that tells you exactly where you stand, what to do first, and what it will cost. No ambiguity. No hand-waving.

Most practices don't know where to start with AI. That's the first problem we solve.

You've seen the demos. You've sat through the vendor pitches. But nobody has told you, specifically, which of your workflows are ready for AI, which aren't, and what the realistic ROI looks like for your practice.

The AI Readiness Assessment is a structured scorecard across eight dimensions, grounded in NIST AI RMF, the HIMSS AI Maturity Model, MIT Sloan/BCG research, and Gartner's AI Maturity Model. The result is a scored report plus a gap plan, a 90-day quick-win shortlist, and three to five AI use case hypotheses.

Scoped by conversation. Start with the $2,000 AI Competitive Scan, or contact us directly.

AI readiness assessment

Eight dimensions of AI readiness

Each dimension is scored independently on a five-point scale. You see exactly where you're strong, where the gaps are, and which gaps matter most for your revenue and workflow goals.

Strategy & leadership

Is AI tied to named business outcomes with an accountable sponsor? Or is it a side project nobody owns?

Data readiness

Can your organization's own data support AI safely and consistently? Quality, access, lineage, and labeling.

Technology & infrastructure

Are systems, access, and integration capable of hosting AI without breaking what already works?

Governance, risk & compliance

Policy, vendor review, incident response, patient disclosure. The guardrails that make AI safe to use.

People, skills & culture

Do staff believe AI helps them? Are there champions, training, and a way to raise concerns?

Workflow & operational fit

Are workflows mapped and decision rights clear for human-in-the-loop use?

Patient / customer experience

Brand voice, feedback loops, accessibility, and equity. Matters disproportionately for premium wellness and aesthetic clinics.

Value measurement & ROI

Baselines, KPIs, and post-deployment reviews. The discipline that proves AI is working.

Framework grounded in NIST AI RMF 1.0 (2023), HIMSS AI Maturity Model (2023), MIT Sloan Management Review / BCG research (2020–2023), and Gartner AI Maturity Model (2024).

Six outputs you can act on immediately

The Assessment separates foundation work from AI work so you can see clearly what is runway and what is the vehicle.

Readiness scorecard

Your score on each of the eight dimensions, plus the weighted overall score mapped to a five-tier maturity level: Aware, Exploring, Operating, Scaling, or Leading.

Readiness gap plan

Foundation-level actions needed to move any dimension scoring below 3.0 up to 3.0. These are not AI projects. They are the runway.

90-day quick-win shortlist

One to three AI plays already possible given your current readiness, with no new infrastructure or governance required.

AI use case hypotheses

Three to five higher-effort candidates at one-page brief depth, labeled as hypotheses and positioned as inputs to the Roadmap if one is commissioned.

Risk register

The specific governance, compliance, and data risks your segment faces, with current controls mapped and gaps flagged.

Readout deck

A board-ready summary of the scorecard, findings, gap plan, quick wins, and hypotheses. Built to travel inside your organization after the engagement ends.

The Assessment surfaces what's broken, what's possible, and what to try. The Roadmap turns what you choose into a funded plan.

The Assessment takes three to four weeks of active work, spanning 30 to 60 days end-to-end with scheduling and review. Expect about 10 to 15 hours of client time total, spread across a few stakeholders.

Every engagement is scoped to your segment, size, and the specific questions keeping you up at night. If you want a credible outside perspective before committing, start with the $2,000 AI Competitive Scan. Half of the Scan fee credits toward the Assessment if you commission one within 60 days.

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AI Readiness Scorecard
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9 hours of Google's prompt engineering course, distilled into 10 templates built for healthcare and wellness. Revenue Protection, Marketing and Growth, Operational Efficiency, Strategy and Training.

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