T
About
Trellis AI is a purpose-built AI platform designed for healthcare specialty providers and diagnostic labs seeking to streamline pre-service operations. By automating prior authorizations, patient intake, eligibility checks, and denial appeals, Trellis helps revenue cycle management (RCM) teams cut operational costs and improve patient throughput. The platform's dedicated AI Prior Authorization agent searches insurance guidelines, extracts required fields from EHR and lab orders, auto-populates forms, and submits them directly to payer portals — reducing processing time from weeks to minutes. When denials occur, the AI identifies and collects supporting clinical evidence to expedite resubmissions and appeals. Trellis proactively identifies missing patient or clinical data before submissions, contacting patients and providers to collect it ahead of time. A 24/7 visibility dashboard tracks all request statuses, ensuring nothing slips through the cracks with automated payer follow-ups. The system integrates seamlessly with existing healthcare infrastructure — including EHRs, fax, email, and insurance portals — and syncs data in real time to eliminate manual updates. Deep domain understanding, built on vast medical ontologies spanning coding, billing, and diagnostics, ensures context-aware accuracy. IT and operations teams can also build custom workflows, set guardrails, and capture best practices directly within the platform. Trellis is ideal for specialty providers, diagnostic labs, and healthcare organizations looking to increase prior authorization approval rates, reduce administrative overhead, and grow revenue without expanding headcount.
Key Features
- Automated Prior Authorization Submission: The AI agent searches insurance guidelines, extracts required fields from EHR and lab orders, auto-populates forms, and submits them directly to payer portals with up to 98% accuracy.
- Denial Management & Appeals Automation: Automatically identifies clinical evidence to support resubmissions and appeals, dramatically increasing approval rates and reducing revenue leakage.
- Proactive Eligibility & Data Collection: Proactively identifies missing patient or provider information before submission and contacts relevant parties to collect it, streamlining the entire intake process.
- Seamless EHR & System Integrations: Integrates with fax, email, EHRs, and insurance portals, automatically syncing data in real time to eliminate manual updates and ensure workflow continuity.
- 24/7 Request Visibility & Payer Follow-Up: Provides round-the-clock status tracking for all authorization requests and automates follow-ups with payers so no request falls through the cracks.
Use Cases
- Specialty clinics automating prior authorization submissions to payers, reducing turnaround time from weeks to minutes and improving patient access to care.
- Diagnostic labs managing high volumes of referral intake, using Trellis to extract, tag, and route incoming documents automatically without manual intervention.
- Revenue cycle management teams leveraging AI-driven appeals to recover denied claims and increase reimbursement rates without adding administrative headcount.
- Healthcare IT and operations teams building custom pre-service workflows with guardrails and best practices captured centrally in the Trellis platform.
- Provider organizations proactively collecting missing patient and clinical data before authorization submissions to prevent delays and improve first-pass approval rates.
Pros
- High Accuracy on Complex Forms: Achieves 98%+ accuracy in complex form completion and medical necessity justifications, reducing errors that lead to denials.
- Significant Time Savings: Reduces prior authorization processing time from weeks to minutes, freeing clinical and administrative staff to focus on patient care.
- Deep Healthcare Domain Knowledge: Trained on vast medical ontologies and millions of clinical data points, ensuring context-aware and precise outputs across coding, billing, and diagnostics.
- Broad Integration Ecosystem: Works with existing healthcare infrastructure including EHRs, fax, email, and insurance portals without requiring a system overhaul.
Cons
- Enterprise-Focused Pricing: Trellis is designed for specialty providers and larger healthcare organizations; pricing and onboarding may be prohibitive for small practices.
- Demo Required for Evaluation: There is no self-serve trial — prospects must book a demo to evaluate the platform, which adds friction for quick assessment.
- Healthcare-Specific Use Case: The platform is purpose-built for healthcare pre-service operations and is not applicable to other industries or general document automation needs.
Frequently Asked Questions
What types of healthcare providers is Trellis AI designed for?
Trellis AI is purpose-built for specialty healthcare providers and diagnostic labs that handle high volumes of prior authorizations, referrals, and insurance appeals as part of their pre-service operations.
Which systems does Trellis integrate with?
Trellis integrates with a wide range of existing healthcare infrastructure including EHRs, fax systems, email platforms, and insurance payer portals, syncing data in real time to eliminate manual data entry.
How does Trellis handle prior authorization denials?
When a prior authorization is denied, Trellis's AI agent automatically identifies and collects relevant clinical evidence to support a resubmission or formal appeal, increasing the likelihood of approval.
What accuracy does Trellis achieve in form completion?
Trellis achieves over 98% accuracy in complex form completion and medical necessity justifications, significantly reducing the errors and omissions that typically trigger denials.
How quickly can Trellis reduce administrative burden after implementation?
Providers using Trellis report reductions in operational expenses within weeks of deployment, with prior authorization processing time dropping from days or weeks down to minutes from day one.
