Tennr
AI that reads referrals and automates patient intake — so healthcare staff process 10x the volume without 10x the headcount
What Tennr is
Tennr is an agentic patient orchestration platform that reads fax-based referral documents, extracts structured clinical and demographic data, checks payer eligibility and prior authorization requirements, and routes patients automatically through intake workflows. Built for specialty practices, ambulatory surgery centers, and regional health networks, Tennr processes documents at human-level accuracy using healthcare-specific language models and has tripled revenue since its Series B. Pricing is custom and volume-based; the company raised $101M in Series C funding in 2025 at a $605M valuation.
Key features
- Fax and document ingestion — reads scanned referral packets, extracts structured patient data without templates
- Automated eligibility and benefits verification against active payer rules at time of referral
- Prior authorization qualification — checks each case against payer guidelines to flag denials before scheduling
- Patient routing and scheduling workflow automation, reducing manual coordination steps by up to 80%
- Healthcare-specific language models trained on clinical documentation, not general-purpose LLMs
- HIPAA-compliant infrastructure with audit trails, role-based access, and EHR integration support
💰 Sell it as a service
The offer
Tennr implementation and revenue cycle optimization for specialty practices and ambulatory surgery centers: audit their current referral intake process, configure Tennr's document models for their specialty, integrate with their EHR, and train the front-desk and authorization team.
What to charge
$10,000–$30,000 for a full implementation engagement (workflow audit, Tennr configuration, EHR integration, staff training). Ongoing optimization retainer: $2,500–$5,000/mo for denial-rate monitoring, payer rule updates, and workflow expansion. Requires deep healthcare operations knowledge — strongest fit for consultants with RCM or health-tech implementation backgrounds.
How it gets delivered
Target clients: orthopedic, cardiology, oncology, and GI specialty practices with 5–50 physicians that receive 50+ fax referrals per day. Implementation takes 6–12 weeks including EHR (Epic, Athena, eClinicalWorks) integration. Primary ROI case is staff capacity — each implementation typically eliminates 1–2 FTE equivalent of manual intake work.
This is one offer. AI Operator Academy is where operators build the full stack — packaging, pricing, fulfillment, and a peer group selling the same services. $999/yr.
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