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Tennr

Tennr AI Agent
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Category:Workflow Automation Agents

Overview

AI healthcare operations platform automating document intake, routing, and administrative workflows.

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Best For Professions:

healthcare administratorsmedical billing specialistspatient intake coordinatorshealth information managersclinical operations managers

Tennr uses AI to process healthcare documents and automate operational tasks that slow down provider teams — from intake to back-office routing — reducing manual document handling.

AI Agent Store research

What the evidence says about Tennr

Tennr is best understood as a workflow automation platform. Tennr is a patient orchestration platform that helps providers get the right patients into the right care settings at the right time.

Last reviewed July 30, 2026

Verified capabilities

  • Workflow automation

    Tennr is a patient orchestration platform that helps providers get the right patients into the right care settings at the right time.[1]

Where it fits best

  • Automating healthcare document intake and classification.[1]
Sources and research method (1)

We record only claims tied to public sources checked by our team or listing workflow. Counts above are derived directly from this profile, not a subjective rating.

  1. TennrOfficial site · checked 2026-07-30

Autonomy level

90%

Reasoning: Tennr operates with near-full autonomy in healthcare document processing through its RaeLLM™ 7B model trained on 3M+ documents. It automatically labels/triages faxes (Triage VLM™), splits multi-patient documents (Multi Patient™), extracts structured data with 98% checkbox accuracy (RaeLM), and handles insurance verification/prior authorization work...

Comparisons

Custom Comparisons

Some of the use cases of Tennr:

  • Automating healthcare document intake and classification.
  • Reducing admin burden in provider operations teams.
  • Speeding up referral and paperwork workflows.

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Pricing model:

paid

Code access:

closed-source

Popularity level: 81%

Industries:

HealthcareBusiness Automation

Tags:

healthcare automationdocument processingAI in healthcareEHR integrationadministrative efficiency

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