Patients Abandoning Treatment
Patients told they are "waiting for approval" delay or quit — abandoned treatment means a sicker patient who costs more later.
Prior auth is a clinical risk, not just an admin burden. The damage goes beyond slow turnarounds — every failure compounds on both sides.
Patients told they are "waiting for approval" delay or quit — abandoned treatment means a sicker patient who costs more later.
Most requests are routine treatments approved many times over. They should never reach a reviewer — but they do, and complex cases wait.
Opaque criteria and slow turnarounds push providers to over-document and chase approvals — friction that resurfaces in your contract talks.
Every overturned denial costs you twice — review plus appeal — and erodes the provider relationships your members rely on.
Two reviewers, same case, different decisions. That inconsistency is a liability — medically, financially, and reputationally.
Prior Auth AI decides which requests need a human — and when they do, every reviewer gets a complete, ready-to-decide case. Every step is logged and auditable.
Real-time visibility across the full authorisation pipeline — every request, every reviewer, every decision. No more asking your team for a status update on where things stand.
Each result traces to a real prior-auth problem we fixed.
Book a Live DemoRegulatory, interoperability, coding, and security standards built directly into the platform.
IRDAI and scheme requirements — audit trails and turnaround SLAs.
Interoperability standards enabling submission via existing EHR.
Coding standards applied during clinical necessity review.
EHR and practice-management integrations for direct submission.
Privacy and security across every data store and audit trail.
Every decision logged — criteria, outcome, reviewer, timestamp.
Prior auth should ensure evidence-based care — not route every request through the same manual process. AI handles the routine. Reviewers focus on what needs expert judgment.
Book a Prior-Auth Demo
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The platform is configured around your actual policy guidelines and clinical criteria — not industry generics. During implementation, your clinical and policy team works with us to map your criteria into the system. The AI then applies exactly those criteria, consistently, on every request. When your criteria change, the configuration is updated centrally and takes effect immediately across all request processing.
Those go to your reviewers — that is the design, not a gap. The platform is not trying to replace clinical judgment. It is trying to remove clinical judgment from the decisions that do not need it, so your reviewers have capacity for the ones that do. Every case that goes to a reviewer comes with a complete summary and the AI's preliminary read, so the reviewer can agree, disagree, or seek additional information with full context.
Urgency scoring is built into the clinical review step. The AI reads urgency signals from the documentation — diagnosis severity, clinical language indicating time-sensitivity, procedure type — and adjusts the routing accordingly. Urgent requests bypass the standard queue and go immediately to a reviewer flagged for same-day decision. Your team never has to hunt through a queue to find the critical cases.
Yes. The platform supports FHIR-based electronic prior authorisation, which means providers using Epic, Cerner, or other FHIR-compatible EHRs can submit requests directly from their workflow without logging into a separate portal. For providers using systems without FHIR integration, web portal and API submission are also supported.
Most payers see meaningful auto-approval on routine requests from week one, because the platform is configured to your criteria before go-live. The rate improves over the following 60 to 90 days as the AI calibrates to your specific population, your provider submission patterns, and the nuances of how your criteria are applied in practice. By month three, most clients are auto-approving the majority of their routine volume.
Yes. The platform is built to meet IRDAI guidelines on claims and authorisation processing, supports NHCX data standards, integrates with ABHA, and maintains full audit trails for regulatory review. For government schemes, compliance with Ayushman Bharat authorisation requirements and state scheme specifications is supported as part of implementation.