Sphere Partners
HealthcareNew · Legal & Compliance

Prior authorization. Submitted, not stalled.

Assembles a complete prior authorization request from the chart — diagnosis, treatment history, and medical necessity criteria — and cites every criterion to payer policy before submission. Built for health systems and specialty practices burning staff hours on payer back-and-forth.

16 cited fields per request. Built on Sphere AI Foundry.

prior_auth — request #PA-30187LIVE
00:00Ingest → chart pull, patient T. Alvarez, CPT 72148read
00:04Medical necessity → 3/3 payer criteria matchedpassed
00:08Prior treatment → conservative therapy, 6 wks documentedpassed
00:11Payer policy → Aetna LCD L34924, imaging order gapflagged
00:14Disposition → Ready to submit, 1 gap to resolverouted
review time 11sfields cited 16/16clinician sign-off required

Organizations around the world trust us

ideel
JFrog
Clearcover
91 Seconds
PHC
NextCapital
DigitalOcean
Enova
bp
Groupon
CreditNinja
Navy Pier
DoorDash
Gett
Experify
ideel
JFrog
Clearcover
91 Seconds
PHC
NextCapital
DigitalOcean
Enova
bp
Groupon
CreditNinja
Navy Pier
DoorDash
Gett
Experify
Built on Sphere AI Foundry·HIPAA-aligned by design·21 years, 300+ clients

Manual prior auth doesn't scale with payer volume

A single prior authorization means a care coordinator pulling the chart, reading the payer's medical policy, matching diagnosis and treatment history against the criteria line by line, and writing up a submission — then doing it again for the next payer's different form. At low volume that's manageable. Across hundreds of requests a month spanning dozens of payer policies, it's the reason approvals sit in a queue for two weeks while the patient waits.

83%
faster first-pass request assembly vs. manual chart review
16
fields extracted & cited per request
100%
of medical-necessity matches traceable to a payer policy citation

Chart in, cited submission out

Four steps, every one logged and citable back to the chart and the payer policy.

01
Ingest

Reads the chart directly from your systems

Progress notes, diagnosis codes, prior treatment history, and imaging or lab results — read from your EHR or clinical documentation system. No separate upload step.

Source chart
Request PA-30187 — CPT 72148, patient T. Alvarez
02
Match against payer policy

Every criterion checked against the specific payer policy

Diagnosis, conservative-treatment history, and imaging order — each checked against the payer's current medical policy or local coverage determination, not a generic checklist.

Example query
"Has 6 weeks of conservative therapy been documented for this payer's LCD?"
03
Cite every match

No criterion match without a citation

Each matched or unmet criterion links back to the exact payer policy section and the chart note it was matched against — the citation travels with the finding, not as a separate lookup.

Cited finding
Imaging order missing from chart — required under LCD §2.1 before submission.
cited to Aetna LCD L34924 §2.1
04
Classify & route

One disposition, one consolidated gap list

The agent returns Ready to Submit, Ready with Gaps, or Additional Documentation Needed, with a consolidated list of unmet criteria routed to the care coordinator or clinician for sign-off before submission.

Classification
Ready to SubmitReady with Gaps ✓Additional Docs Needed

16 fields, every one cited

What the agent extracts from every request it assembles.

Disposition summary & submission readiness
Patient & payer/plan verification
Diagnosis & CPT/HCPCS code match
Medical necessity criteria, cited to policy
Conservative-treatment history documentation
Prior authorization history on the same diagnosis
Site-of-service & level-of-care check
Missing-documentation gap list
Consolidated criteria-match report
Clinician review checklist & sign-off record

Typical inputs

What the agent reads, and what it connects to.

Documents

  • Progress notes and clinical documentation from the current encounter
  • Diagnosis, imaging, and lab results supporting medical necessity
  • Prior authorization history on the same diagnosis or treatment
  • Payer medical policy or local coverage determination (LCD) in effect
  • Prior denial letters or peer-to-peer review notes, where applicable

Systems

  • EHR / clinical documentation system
  • Payer portal or clearinghouse
  • Document repository or imaging system

Is this the right fit?

Built for volume — not a one-off request.

✓ Works best for

  • Health systems and specialty practices submitting 100+ prior auth requests a month
  • Teams standardizing against a fixed set of payer medical policies
  • Revenue cycle wanting every criterion match traceable to payer policy

Too small for

  • A single urgent request a care coordinator can submit faster than configuring the match
  • Replacing clinician judgment on medical necessity or the final submission decision
  • Payers or plans without a published medical policy or LCD to match against

Grounded in payer policy, not a black box

Compliance-first, the same standard every Sphere agent is held to.

The agent requires the complete chart and the payer's current medical policy before it will return a disposition, and every request sits between chart review and submission — never past it. A clinician or care coordinator confirms every submission before it reaches the payer.

Findings reference the specific payer medical policy or LCD section directly, with PHI handled under the same HIPAA-aligned access controls every Sphere agent on the Foundry is held to.

Prerequisites complete chart

Complete chart documentation and the payer's current medical policy required before a disposition is returned.

Human review required

A clinician or care coordinator confirms every submission before it reaches the payer — never fully autonomous.

Regulatory grounding HIPAA-aligned

Findings reference the specific payer medical policy or LCD section directly in every request, with PHI handled under HIPAA-aligned access controls.

Foundation Sphere AI Foundry

Access controls and audit trail configured here carry forward to every other agent you deploy.

Frequently asked

Does the Prior Authorization Accelerator decide whether a request is approved?

No. It assembles the request and cites every medical-necessity match for a clinician or care coordinator to review — the payer still makes the coverage decision. Nothing is submitted without that sign-off.

What types of prior authorization does it support?

Radiology and imaging, durable medical equipment, specialty pharmacy, and elective procedures out of the box. Additional service lines can be added during onboarding with the relevant payer policies configured in.

How does it integrate with our EHR?

It reads directly from your EHR, clinical documentation system, or payer portal — no separate upload step required. Integration scope is confirmed during deployment planning.

Is every criterion match traceable to payer policy?

Yes. Every matched or unmet criterion cites the specific payer policy or LCD section it came from — there is no finding without a citation back to the source.

How is this different from a generic prior-auth software tool?

It's built specifically around matching a chart against payer medical-necessity criteria, not a general eligibility or scheduling tool. It runs on Sphere AI Foundry, so the access controls and audit trail configured here carry forward to other agents you deploy.

Hear from

our clients
Lee Ebreo

Lee Ebreo

VP of Engineering at Credit Ninja

These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.

Selah Ben-Haim

Selah Ben-Haim

VP of Engineering at Prominence Advisors

Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).

Ben Crawford

Ben Crawford

Senior Product Manager at Enova Financial

I would expect to be delighted. It's been a really positive experience, working with Sphere, and I would expect you to have the same.

Mark Friedgan

Mark Friedgan

CEO at CreditNinja

Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. As an offshore team, they have been an integral part of our organization and we plan to continue growing with them.

René Pfitzner

René Pfitzner

Co-Founder at Experify

Sphere provided excellent full-stack development manpower to augment our team and help push our product forward. They are easy to work with, tech-savvy and proactive.

Bruce Burdick

Bruce Burdick

Chief Information Officer at Integra Credit

We've been working with Sphere and its excellent consultants since our founding. I've found that they are true partners in the success of our business.

Jemal Swoboda

Jemal Swoboda

CEO at Dabble

The resources and developers that Sphere Software provides are skilled and have the required technical expertise, but more importantly, they have helped us build a culture of excellence within our team.

Arthur Tretyak

Arthur Tretyak

Founder and CEO at IntegraCredit

With Sphere, we were able to migrate in half the time it would take to train an additional FTE… and for a fraction of the cost. Our experience with Sphere has been exceptional.

Lee Ebreo

Lee Ebreo

VP of Engineering at Credit Ninja

These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.

Selah Ben-Haim

Selah Ben-Haim

VP of Engineering at Prominence Advisors

Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).

Top AI Code Generation Company United States 2025

TOP AI CODE GENERATION COMPANY UNITED STATES 2025

Top AI Text Generation Company Florida 2025

TOP AI TEXT GENERATION COMPANY FLORIDA 2025

Top App Development Company Manufacturing 2025

TOP APP DEVELOPMENT COMPANY MANUFACTURING 2025

Top Artificial Intelligence Company United States 2025

TOP ARTIFICIAL INTELLIGENCE COMPANY UNITED STATES 2025

Top Chatbot Company United States 2025

TOP CHATBOT COMPANY UNITED STATES 2025

Top Recommendation Systems Company United States 2025

TOP RECOMMENDATION SYSTEMS COMPANY UNITED STATES 2025

Global Recognition Awards 2026

GLOBAL RECOGNITION AWARDS 2026

Best in AI for Documentation Validation 2026

BEST IN AI FOR DOCUMENTATION VALIDATION 2026

Best in AI Powered Invoice Auditing 2026

BEST IN AI POWERED INVOICE AUDITING 2026

Global Tech Award Winner 2026

GLOBAL TECH WINNER 2026

Most Innovative Technology Consulting Firm 2026

MOST INNOVATIVE TECHNOLOGY CONSULTING FIRM 2026

Global Generative AI Award 2026 Winner

GLOBAL GENERATIVE AI AWARD 2026 WINNER

Start here

See it on your own charts

Bring three real prior authorization cases to the demo. We'll show the request assembly live — criteria match, citations, and the gap list, on your own charts.

Looking for a different workflow? Browse the full Agent Catalog.

Talk to a solutions architect

Direct to a senior architect — never a sales queue. Replies within one business day.

By submitting, you agree to be contacted about this request. We never share your details.