Up to 70%
Less prior authorization review time
Approve What Meets Policy. Prove Every Decision.
Payer-neutral prior authorization for health plans, including provider-sponsored plans. Requests are checked before filing, and reviewers start from cited evidence.
Follow a request through the provider portal and the plan review workbench.
Offices send incomplete packets and reviewers read forty pages to find one fact, and most appealed Medicare Advantage denials are overturned.
You carry the cost of every incomplete request and the appeal that follows, with little view of where the effort goes.
A deadline-sorted queue and a clear view of where review effort goes, from submission to decision.
You carry the cost of every incomplete request and the appeal that follows, with little view of where the effort goes.
A deadline-sorted queue and a clear view of where review effort goes, from submission to decision.
A coach checks each request against plan policy and names the document that closes a gap before the plan sees it.
Reviewers open the exact sentence behind each criterion, so a long packet becomes a short verification.
Each adverse determination carries policy-linked reasons, a plain-language member letter, and a peer-to-peer offer.
Plan rules approve a request the moment every criterion is evidenced, and the request skips the queue.
Health information exchange and plan claims data join the record, cited and logged, when the packet alone falls short.
Decision timeliness is tracked live, and public-reporting metrics come from the decision log in support of CMS-0057-F.
A licensed clinician makes every adverse determination, and AI prepares the evidence for each case without deciding any of them.
No insurer owns AuthorityX, so your policy logic and clinical data stay yours, and each plan applies its own policy.
Practices begin with the documents they already hold, sent by upload, fax, email, or API, with no project before the first request.
Deployed on-premises or in your cloud, so protected health information stays inside your environment and you keep the IP.
Up to 70%
Less prior authorization review time
40%
Fewer processing errors
3x
Reviewer throughput
Assembling review packages from fragmented records slowed every review. We built an agentic AI that assembles them from those records, cutting review time up to 70%, reducing processing errors 40%, and tripling reviewer throughput. It reached production in under 30 days.
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Bhupesh Nadkarni
Head, Healthcare
We build it. You own it.
