AI Evaluation & Audit
Turn AI ambition into operational advantage.
Alpha NB audits how your organization actually runs, scores every workflow for AI fit, and hands you a plan — where AI pays off, where it's premature, and where it's quietly creating risk. Built by a principal AI engineer, not a slide deck.
CVS Health
Principal AI & Cloud architect at Fortune-5 scale
$5M exit
Founded and sold a computer-vision AI company
11 years
Building AI systems that survive production
GSA-Certified · Minority-Owned Business · NAICS-Registered
01 / Healthcare
Your staff is already using AI with patient information.
Medical and dental groups, clinic networks, digital health. The audit shows you what's actually in use, where the HIPAA exposure is, and where AI genuinely pays off.
The healthcare audit
02 / Law & professional services
Confidentiality is the product. Treat AI accordingly.
Know which AI tools are safe for client matters, which ones create exposure, and where the billable hours are leaking.
The law firm audit
A decision document, not a slide-deck exercise.
Four to six weeks, one flat fee. A structured review of how your organization operates — done by an engineer who builds these systems for a living. Every engagement ends with evidence, priorities, and an executable plan.
01 · Scored AI Readiness Assessment
Every core workflow scored for AI fit — where it pays off, where it's premature, where it's an exposure. Scores and reasons.
02 · Written Integration Roadmap
What to implement, in what order, what it should cost, build vs. buy — written so any competent team can execute it.
03 · 90-Minute Walkthrough
The findings, live, with your leadership. Hard questions answered, clear next step.
Start with the fit call.
30 minutes, free — scope and flat fee agreed before you commit to anything.
Selected work
Built, shipped, survived.
The recommendations come from someone who has carried AI systems into production — and answered for them afterward.
Building AI since 2015.
Hassan Pasha has built AI systems for eleven years — agent research in 2015, production ML in healthcare, principal architecture at a Fortune-5 company, and an AI company of his own, founded and sold. Every audit is run by him personally.
Alpha NB is small on purpose. The person you hire is the person who does the work.
Hassan Pasha
Principal AI Engineer, Alpha NB
After the audit
The roadmap is written to be executed by anyone — your team, a vendor, or us. If you want Alpha NB to build it, that's a separate conversation after you've seen the report: implementation, integration, and the engineering to make it stick. No obligation either way; the plan is yours.
After our initial consultation, we had a clear roadmap for our AI implementation that we could not have developed ourselves. The ROI has been exceptional.
— Fitter Law
How it works
Fit call — 30 minutes, free
You tell us how the organization runs. We tell you honestly whether the audit will pay for itself. If it won't, we say so.
The audit — four to six weeks
Hassan reviews your workflows, tools, and data practices. Your team's commitment: a handful of interviews.
Delivery — report + walkthrough
Scored assessment, written roadmap, then the 90-minute walkthrough with your leadership.
Questions, answered
What does it cost?+
One flat fee, scoped to your organization on the fit call — before you commit to anything. No retainer, no hourly meter, no surprise scope.
Is our information safe?+
NDA before any conversation about your organization. Nothing you share is used to train any AI model, and the audit is structured so sensitive records never need to change hands.
Is this remote?+
Yes — interviews and the walkthrough run over video. On-site can be arranged when it genuinely helps.
What if we're not in healthcare or law?+
The audit applies to any organization with repeatable workflows — those two are simply where we have the most experience. Book the fit call and we'll tell you honestly whether we're the right fit.
Book your fit call
30 minutes, direct with Hassan. You'll leave knowing whether the audit pays for itself — and if it won't, we'll say so.