Pretty Good AI vs Clearwave

Two products that both say front office and mean different rooms

Clearwave built its business at the check-in desk. Registration, real-time insurance eligibility, self-service kiosks in the waiting room, payments at the point of service. Later it added scheduling, patient communications and a voice AI product.

Pretty Good AI built its business at the phone line, and extended outward into scheduling, referrals, forms and revenue workflows on athenaOne.

Both companies now use the phrase front office. They are describing different physical places.

That distinction sounds academic until a practice buys the wrong one, which happens more than it should, because the symptom a practice notices is usually just that things feel slow.

Two different problems that feel identical from the outside

Here is the test that separates them, and it takes about ten minutes with data most practices already have.

Look at your abandoned call rate and your average hold time. Then look at how long a patient spends between walking in and being roomed.

If the phone numbers are bad and the waiting room numbers are fine, you have an access problem. Patients cannot reach you to book. No amount of check-in improvement changes that, because the patients you are losing never made it into your building.

If the phone numbers are fine and patients are stacking up in the waiting room while staff key in registration and chase coverage, you have a throughput problem at the desk. That is what Clearwave has spent years building for, kiosks included, and a voice agent will not fix it.

Plenty of practices have both. The order you fix them in still matters, and the honest answer is to fix whichever one is currently costing you visits.

What we do not build

Clearwave offers self-service terminals in the waiting room. Our check-in workflow runs through digital channels and the broader athenaOne platform.

Eligibility is where the shapes differ. Clearwave built a product around the check itself. We run eligibility inside the athenaOne workflow around a booking or a visit, so the result lands where the scheduling and billing work already happens rather than in a separate system that then has to be reconciled.

Saying this plainly is more useful than pretending the products overlap completely. They do not.

Where the architecture difference shows up

Clearwave’s voice AI is positioned around dropping hold times and booking more patients, which is the right goal.

The difference is structural rather than a matter of quality. A voice agent built on top of a check-in and eligibility platform is extending an existing workflow engine to a new channel. An agent built voice-first calls athenaOne tools during the conversation, so it reads the live slot table and writes the booking while the patient is still on the line.

For a simple appointment the two feel the same to the caller.

The gap opens on the calls that are not simple. A patient who needs a specific provider at a specific location, who last canceled twice, and whose appointment type requires a preceding visit, is a call where the agent either resolves it live or captures it for someone to finish later.

The following is an illustrative workflow, not a customer story. An ENT group’s hardest recurring case is not clinical at all: patients calling to move a post-operative follow-up that has to sit inside a fixed window relative to the surgery date, with a different provider than the one who did the procedure if that provider is out. The rules for that already exist in athenaOne as appointment types and provider group settings. The workable approach reads those rules rather than reimplementing them, and hands off to a person when the window is already blown, because at that point somebody has to make a judgment call about what to do next and that is not the automation’s decision to make.

What to ask both vendors

Three questions cut through the similar-sounding pitches, and they work on any vendor.

Ask them to book your hardest appointment type, live, in an athenaOne environment rather than a demo sandbox. Ask what happens when the agent cannot complete the request, and watch the handoff rather than the happy path. Ask which athenaOne records change when work completes, because that is what decides whether the call ended the work or started a task.

The short version

Waiting room slow, registration manual, coverage surprises at the desk, kiosks appealing: Clearwave is built for that and we are not.

Phone queue long, calls abandoned, patients unable to book at all: that is the problem we built for, and it is worth measuring before you decide, because your own phone logs will settle the question faster than either of our sales teams will.