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Welcome to PA Sherpa

Prior authorization, finally fixed. Choose a persona below to experience the platform from each user's perspective.

How a PA flows through the system

1
Provider submits PA
2
Payer reviews
3
Patient notified
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Provider

Maria, PA Coordinator

You are Maria, PA Coordinator at Atlanta Cardiology Associates. You manage PAs for 5 cardiologists. Today you have 20 PAs to manage and a new one to submit.

Try

  • View your PA dashboard
  • Submit a new PA request
  • Generate an AI appeal for a denial
🏢
Payer Reviewer

UM Review Nurse, Anthem BCBS GA

You are a utilization review nurse at Anthem BCBS Georgia. You review PA requests for medical necessity and make approve/deny decisions.

Try

  • Review a pending PA request
  • Approve or deny a case
  • Flip on auto-decide and watch Claude review a real case in 30 seconds
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Patient

Susan Thomas, age 63

You are Susan Thomas, age 63. Your cardiologist urgently requested a cardiac catheterization. It's been submitted and is currently under review by your insurance.

Try

  • See where your authorization stands
  • Read the plain-language explanation
  • Sign up for status notifications

For Technical Reviewers

Behind the Scenes

⚙️
Admin Console

See how the AI adjudicator actually works: the real payer medical policies we ingest, chunk, and embed; the coverage gap detection; the scheduled refresh pipeline; and the prediction calibration metrics.

Why Us

Founder-market fit

EG

Ed Gaile

Founder

I've seen the PA crisis from every angle. My father was a physician's assistant. I spent 20+ years building payer-side technology for NASCO (the backbone for 36 BCBS plans), Cigna, Blue Shield of California, and BCBS Massachusetts. And then my wife was diagnosed with breast cancer, and I lived the PA process as a patient's family while she fought for her life. That's when I stopped thinking about this as a career problem and started thinking about it as something I needed to build.

Questions or want to talk? ed.gaile@phyassist.ai

This is a demo environment with simulated data. No real patient information is used. Powered by AI (Claude, Anthropic).