Independent practices got left out of the AI triage wave.
Enterprise tools are built for hospital systems. Generic tools are not grounded in specialty protocols. Here is the actual gap, and why it exists.
Too small for enterprise triage AI
Large AI triage vendors build for hospital systems and multi-site primary care networks — deals with hundreds of providers. A single independent practice with a handful of nurses is not the customer they are built to price for.
Too specific for generic nurse-line software
Off-the-shelf triage tools ship with general protocol libraries. A practice's actual clinical judgment — the specific thresholds a physician there uses — is not in a generic protocol set, and cannot be.
Too under-resourced to build it in-house
Building a grounded, protocol-aware tool takes engineering time most practices do not have on staff. That gap is exactly what made this project possible — someone embedded in the practice, building for its real workflow.
Enterprise triage AI
Broad reasoning across huge protocol sets. Months to deploy, priced for hospital systems.
TriagePath
Fast and precise — matched directly to the protocol your physician wrote. A week to set up, one price for the practice.
Generic nurse-line software
Manual keyword search over a vendor library. Generic guidance, per-seat pricing.
What you're actually comparing.
Not marketing language — the specific things that change how a call gets handled.