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AI Readiness Assessment
Alpha NB runs a flat-fee AI readiness assessment for medical and dental groups: four to six weeks, every core workflow scored, a written integration roadmap, and a 90-minute walkthrough with your leadership. It is an assessment of your organization — not a compliance audit of some vendor's model. Hassan Pasha runs every one personally: principal AI architect at CVS Health and Aetna, founder of a computer-vision AI company sold in 2024, building AI since 2015.
A fit if you are:
A medical or dental group, 5 to 50 locations
A clinic or urgent-care network
A DSO standardizing across offices
A digital health company scaling operations
Not a fit if you are:
A solo practice — a full assessment won't pay for itself yet
A hospital system with a 12-month procurement process
Shopping for someone to “install ChatGPT” and call it strategy
The market context is why this matters now: in a Black Book poll of 507 healthcare leaders (July 2026), the average AI-readiness score was 94.9 out of 200, and only 18.1% cleared the governance threshold. MGMA's January 2026 Stat poll of 328 practice leaders found 56% had no AI governance at all. Most groups are adopting AI faster than they are managing it.
Every core workflow scored for AI fit — where it pays off, where it's premature, where it's an exposure. Dimensions are scoped to your organization; no two groups get the same rubric.
What to implement, in what order, what it should cost, build versus buy — with a data-safety check on every tool. Written so any competent team can execute it.
Hassan walks your leadership through the findings live, answers the hard questions, and leaves you with a clear next step.
The assessment is priced as one flat fee, agreed on the fit call before you commit to anything. Five things move it:
Locations
A 5-office group and a 40-office network are different engagements.
Systems in scope
How many EHR, practice-management, and billing systems your workflows run through.
AI already deployed
Tools already touching patient information get reviewed, not just planned.
Governance maturity
Whether policies, an inventory, and an owner exist yet, or the assessment builds the baseline.
Stakeholders interviewed
Clinical, administrative, and IT voices per site — more perspectives, more interview hours.
No retainer, no hourly meter, no surprise scope. Exact number on the fit call.
Weeks 1–2
Interviews and system review. Hassan maps how the organization actually operates — intake, scheduling, documentation, billing, patient communication, and what staff already do with AI.
Weeks 3–4
Scoring and analysis. Each workflow is scored for payoff, readiness, and exposure. Tools you already pay for get evaluated alongside candidates.
Weeks 5–6
Roadmap and walkthrough. You get the written plan, then the 90-minute session with leadership. The plan is yours either way.
Your team's total commitment: hours of interviews, not weeks of disruption. No patient data required.
Scribe and EHR vendors offer free AI assessments. They are sales instruments: the questions steer toward the product, governance rarely appears, and the report ends at their pricing page. Alpha NB sells no software. The assessment recommends build, buy, or wait per workflow — and when it says buy, the vendor comparison is done on your requirements, not a commission.
The person doing the work matters too. Hassan has carried AI systems through real compliance review at Fortune-5 scale, led HIPAA-aware machine learning on a revenue-critical patient application, and has built AI since 2015 — starting with agent research at the University of Illinois Chicago, years before LLMs. That is who reads your workflows.
It is the cheaper order of operations. The assessment tells you whether documentation is actually your biggest AI payoff, what to require in the scribe contract, and how to run the pilot. Groups that buy the tool first often end up paying for both anyway.
A few hours of interviews spread across the engagement. Hassan does the rest. Your clinicians keep seeing patients.
The assessment is designed so no protected health information changes hands, which is why a BAA typically isn't needed for this phase. If you engage us for implementation that touches patient data, a BAA gets signed before anything starts.
No. A risk analysis is a security-rule requirement your compliance program owns. The assessment maps where AI belongs in your operation — and its findings feed your risk analysis, since AI tools belong in that inventory.
Then the assessment scopes to validation: whether the tool fits the workflow, what the contract should say, and how to measure whether it's working. Cheaper than finding out after rollout.
Both, your choice. The roadmap is written so any competent team can execute it — yours, a vendor's, or ours. Alpha NB is an engineering shop; if you want us to build it, that's a separate conversation after you've seen the report.
Every core workflow in your operation — intake, scheduling, documentation, billing and denials, patient communication, and staff AI use — scored for fit, payoff, and exposure. The exact dimensions are scoped to your organization on the fit call; no two groups get the same rubric.
Know where AI pays off in your practice.
30 minutes with Hassan. If the assessment won't pay for itself, he'll say so.