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Pathways AI

Intelligence that listens, learns, and leads.

The layer running underneath every Pathways suite. It hears the visit, reads the patterns in your claims, and puts the next action in front of the person who can take it. Working in practices today.

The Pathways Performance Core

Three signals in. One decision out. A person takes it.

Why now

Independent practices are being sold a lot of announcements.

Almost every platform in this market has an AI story. Far fewer have AI a practice can use on a Tuesday. The difference matters more than the capability list.

A demo is not a deployment

Capability shown in a conference keynote and capability running in your exam room are separated by years, and the practice carries the gap.

Judgment cannot be outsourced

Clinical and financial decisions carry consequence and liability, so the useful question is not what the model does but who signs.

Intelligence needs a substrate

Prediction is only as good as the data underneath it, and a practice running four disconnected systems has no single record to reason over.

How it works

Listens. Learns. Leads.

Three jobs, each attached to a part of the practice you already run. The layer is not a separate product you open. It shows up inside the work.

One

Listens

Ambient documentation captures the encounter as it happens and drafts the note from the conversation, so the clinical record is built by the visit rather than after it.

In Pathways Practice ›
Two

Learns

Every claim, denial, and payer response teaches the rules engine. What one payer rejected last month becomes a scrub rule that protects the whole book this month.

In Pathways Revenue Performance ›
Three

Leads

Risk stratification and care gap detection put the next action in front of the person who can take it, at the moment they can take it, rather than in a report.

In Pathways Value ›
In production

What it does today.

Six capabilities, grouped by where in the practice they run. Each one is live software a customer is using now.

Running in production
Where it shows up

You do not open Pathways AI. It arrives in the work.

There is no separate application to learn and no console to check. The intelligence surfaces inside the screen the person is already looking at, as something they can act on or dismiss.

01

A signal appears

The system notices something: a pattern in a payer's behavior, a gap in a patient's care, a note that is missing what the code needs.

02

It is turned into an action

Not a score and not an alert, but a specific next step attached to the record it concerns.

03

It reaches the right person

The clinician, the coder, the biller, or the care manager, in the queue they already work.

04

A person decides

They accept it, change it, or dismiss it. Nothing proceeds on the system's judgment alone.

05

The decision teaches the system

What people accept and what they reject shapes what surfaces next, so the layer gets more useful the longer it runs.

A recommendation, in the queue, with a way to say no.

Product screen: an AI recommendation in the worklist Awaiting an approved product image.
The recommendation as your team sees it.
Governance

The questions your compliance officer is going to ask.

Answered here rather than in a follow up call, because they are the right questions and they should not be hard to find.

Questions

What practices ask us first

Is any of this a roadmap item?

No. Every capability described on this page is running in production for practices today. We keep announcements off the product pages on purpose, because a dated promise is not something a practice can use.

Does the AI make clinical decisions?

No. It drafts, surfaces, and suggests. A clinician reviews and signs every note, a certified coder confirms every code, and a person accepts or dismisses every recommendation. Nothing proceeds on the system's judgment alone.

Is our patient data used to train models?

Your practice owns its data. It is processed to deliver the service under a business associate agreement and under HIPAA. Any use beyond that requires your explicit agreement, and it is not a condition of the platform.

What happens when it is wrong?

The person rejects it, and that rejection is part of how the layer improves. Because a human sits on every decision point, an incorrect suggestion is a dismissed suggestion rather than an incorrect record or an incorrect claim.

Do we need Pathways AI as a separate purchase?

No. It is the intelligence layer inside the Pathways suites rather than a product bought on its own, so it arrives with whichever suite the practice adopts.

Your next move

Ask us to show you the unimpressive parts.

Any vendor can demonstrate the best case. Bring us a messy chart, a payer that denies everything, and a patient panel nobody has time to work, and we will show you what the layer does with them.