AI agents that automate specialty healthcare admin workflows.
By Tanmay Verma, Founder · Last verified 03 Jul 2026
In short
Trellis AI — AI agents that automate specialty healthcare admin workflows. Best for Specialty infusion centers struggling with prior authorization delays, Ophthalmology and retina clinics with high-volume referral workflows, Revenue cycle management teams aiming for >80% touchless scripts. Contact Sales pricing.
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For specialty infusion and ophthalmology providers drowning in prior auth paperwork, Trellis delivers measurable 5x productivity gains and 10-minute turnaround times. It's a niche solution, but requires enterprise commitment and isn't a self-serve tool for small clinics. Alternatives include Infinx for prior auth automation or HealthMarkets for revenue cycle management, but Trellis offers deeper workflow embedding for high-volume specialty centers.
Skip Trellis AI if Skip Trellis AI if you need a low-cost, self-serve tool or work outside specialty healthcare—it requires enterprise commitment and is built for high-volume infusion or ophthalmology centers.
Compare with: Trellis AI vs Adept, Trellis AI vs Obviously AI, Trellis AI vs Truleo
Last verified: July 2026
How likely is Trellis AI to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Trellis AI is an AI-native healthcare network that embeds intelligent agents across the care journey, starting with specialty providers. It automates manual administrative tasks such as extracting clinical data from messy referrals, generating letters of medical necessity, submitting prior authorizations to payer portals, flagging denials, enrolling in patient assistance programs and clinical trials, and keeping patients informed. The platform uses a three-part system: Copy maps existing workflows into reinforcement learning environments; Capture turns proprietary data into executable workflows; and Execute breaks down workflows into steps, using a library of tools to triage documents, run medical benefits, test claims, navigate portals, and make outbound calls. Trellis reports outcomes like 5x productivity gains, 10-minute referral-to-PA turnaround, 5-second benefits verification, and 80-90% touchless scripts.
Trellis is purpose-built for high-volume specialty healthcare providers—think retina clinics, infusion centers, and ophthalmology practices. Its three-agent architecture (Copy, Capture, Execute) is genuinely differentiated: instead of a generic LLM chat, it maps your existing workflows into a reinforcement learning environment, then executes them with a library of task-specific tools (portal navigation, benefits verification, outbound calls). The vendor claims 80-90% touchless scripts and 10-minute PA turnaround, which is competitive. However, the platform is not self-service; you must contact sales for pricing and onboarding. It lacks integrations with major EHRs (no Epic or Cerner listed) and has no API or public pricing. Strengths: deep specialty focus, measurable ROI metrics, denial prevention. Weaknesses: no transparent pricing, no EHR integrations listed, healthcare-only so not for general document processing. Best for enterprise-level specialty providers; not for small clinics or non-provider entities.
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Concrete scenarios for the personas Trellis AI actually fits — and what changes day-one when you adopt it.
You receive 50 referrals daily, each with messy PDFs and varying payer requirements.
Outcome: Trellis extracts clinical data, generates LMNs, submits PAs to payer portals, and flags denials—achieving 10-minute turnaround and 80% touchless scripts.
You manually verify benefits and test claims for every new patient, taking 30 minutes each.
Outcome: Trellis automates benefits verification and test claims in 5 seconds, freeing you to focus on exceptions.
You coordinate PAP enrollment and clinical trials for patients starting biologic therapies.
Outcome: Trellis automates enrollment paperwork and keeps patients informed via automated calls.
as of 2026-07-03
as of 2026-07-03
The company stage and team size where Trellis AI's pricing actually pencils out — and where peers do it cheaper.
Pricing is not publicly available and requires contacting sales. For specialty providers, Trellis likely charges per script or per patient, but lacks transparent pricing. Compared to cheaper alternatives like Infinx (usage-based) or built-in EHR modules, Trellis may have higher upfront costs but potentially faster ROI for high-volume centers. Enterprise teams should negotiate.
How long it actually takes to get something useful out of Trellis AI — broken out by persona, not the marketing-page minute.
Setup involves a sales engagement and proof-of-concept with Copy (workflow mapping). For a typical specialty provider, initial pilot in 2-4 weeks; full rollout in 1-3 months depending on workflow complexity.
Common stack mates teams adopt alongside Trellis AI, with the specific reason each pairing earns its keep.
Always-on AI workers automate CRM, meeting prep, and account monitoring for revenue teams
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