Trellis AI automates specialty care workflows with AI agents, from referrals to patient communication.
Trellis AI is a healthcare automation platform that uses AI agents to handle administrative work across the care journey, with an initial focus on specialty providers. The product site describes it as an AI-native healthcare network that sits between the different steps involved in getting a patient from referral to treatment.
Its stated purpose is to reduce manual paperwork and gaps in care by automating tasks such as extracting information from referrals, generating letters of medical necessity, submitting prior authorizations, checking benefits and claims, flagging denials, enrolling patients in PAP and clinical trials, and keeping patients informed. The site also presents three agent layers—Copy, Capture, and Execute—that map workflows, learn from proprietary systems, and run or verify workflow steps.
Connects to multiple parts of the care journey and automates tasks that slow down specialty workflows, including referral data extraction, LMN generation, prior authorization submission, denial flagging, PAP enrollment, and patient communication.
Maps existing operational workflows into RL environments so teams can capture SOPs and KPIs without changing their internal processes first.
Turns proprietary data and system behavior into executable workflows, while retaining analytics for process optimization and added revenue capture.
Breaks workflows into steps and actions, then uses a tool library to run and verify tasks such as document triage, benefits checks, test claims, LMN creation, portal submission, and outbound calls.
Supports outcomes-focused operations by positioning automation around time-to-treatment, throughput, and revenue-related workflow metrics.
Automate intake work that starts with a referral, including extracting clinical data and moving the case toward treatment without as much manual coordination.
Support medication access teams by generating letters of medical necessity and submitting prior authorizations to payer portals.
Help teams process benefits and claims faster by running medical benefits checks and test claims, then verifying the workflow steps that were completed.
Reduce follow-up burden for specialty operations by flagging denials earlier, enrolling patients in PAP or clinical trials, and keeping patients informed as work progresses.
Document and standardize internal work by mapping existing operations into RL environments and capturing SOPs and KPIs along the way.
Trellis is positioned as an AI healthcare platform that automates work across the care journey, with examples including referral intake, letters of medical necessity, prior authorization submission, denial flagging, PAP enrollment, and patient updates.
The homepage says Trellis starts with specialty providers and is embedding AI agents across the care journey. The blog content also points to pre-service operations such as prior auth and specialty workflows.
The site describes Trellis as a system of healthcare-native agents, including Copy, Capture, and Execute. Those components map workflows, turn proprietary data into executable workflows, and run or verify workflow steps.
The pricing page text collected here does not show any public pricing details. Based on the available pages, pricing should be treated as not disclosed on the site content provided.
The terms page states that the services are not tailored to comply with industry-specific regulations such as HIPAA or FISMA. That suggests the product should be evaluated carefully for any regulated workflows before use.
Traffic data is for reference only.
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