Pretty Good AI vs DocResponse

One vendor across the line, or one vendor up to it

DocResponse and Pretty Good AI overlap on a lot: scheduling, registration, referrals, texting, revenue capture. If you only read the front-office half of each product description you would struggle to tell them apart.

The difference is what happens at the edge of the front office.

DocResponse keeps going. It publishes patient screeners, clinical documentation and decision support, positions around reducing provider data entry in the EHR, and requires athenaClinicals as well as athenaCollector to do it.

We stop. Deliberately, permanently, and it is the most important thing on this page.

The line, stated exactly

Our agent books the visit, confirms the coverage, chases the missing paperwork, and routes the request to the right person.

It does not assess anything. It does not collect symptoms, does not screen, does not decide who needs to be seen sooner, and does not write into the clinical record.

The test we apply to every feature is simple: if the work could only be done by someone with a clinical license, it is not ours. That rules out a lot of things that would be commercially attractive to build.

DocResponse made the opposite call, and it is a legitimate one. A practice that wants pre-visit screening flowing into the chart and less provider keying is describing a real cost, and 222 marketplace reviews at a 4.95 average suggest practices are getting what they came for.

We are not arguing they are wrong. We are telling you where we stop so you can decide whether that is the product you want.

Which kind of consolidation are you buying

Vendor consolidation is the reason most of these evaluations start, and the word hides two different goals.

One is vertical: fewer vendors across the whole patient journey, front office through clinical. That points at DocResponse. It covers more of that journey than we do and we would say so in a bake-off.

The other is horizontal: one vendor that does the entire front office properly on athenaOne, across every channel, with the clinical side left to the EHR and the clinicians. That points at us. We connect 500+ athenaOne APIs out of roughly 800 endpoints athenahealth exposes, and we answer the phone, which DocResponse does not.

Practices that get this wrong usually got it wrong at the very start, by saying “fewer vendors” without saying fewer across what.

Where the front office gets genuinely hard

A multi-site specialty group we work with had good numbers on the parts of referral handling that are easy to measure. Referrals were arriving, getting logged, and getting scheduled. The metric that stayed bad was time from referral received to visit completed.

The gap was authorization. The referral would arrive complete and the appointment would get booked, and then the visit would fall over at the last minute because the payer authorization had not come back, or had come back for a different procedure code than the one the appointment was built around.

That is administrative work, and there is a lot of it. Checking what has been submitted, chasing what has not, watching for a response, and noticing when the response does not match the booking. It lives in the order and tickler queue, the document classes and the appointment record, and it is exactly the kind of persistent low-grade chasing that gets dropped when the front desk is busy.

The workable approach ran the chase continuously rather than when someone remembered, reading the existing athenaOne structures rather than building a parallel tracker, and surfaced the mismatches early enough to move the appointment instead of cancelling it on the day.

It handed off in one specific situation, and the handoff is the part that matters. When a payer came back requiring a peer-to-peer review, the agent stopped. It gathered the authorization history, the denial reason and the appointment details into one place and gave the whole package to staff.

A peer-to-peer is a conversation between clinicians about a clinical decision. The agent’s job was to make sure the person walking into it had everything, and then to get out of the way.

What to ask each of us

Ask DocResponse how the clinical documentation and screening pieces land in athenaOne, who reviews what before it reaches the chart, and what a provider still has to do after the patient has been through the flow.

Ask us to take your hardest inbound call live in an athenaOne environment rather than a demo sandbox, and then ask what the agent does when it cannot finish. Push on that second question. The handoff is where front-office automation actually breaks and it is the least demoed part of every product in this category.

Ask us both what we will not do. A vendor that answers everything to that question has not thought about it, and you will find the real boundary later, during implementation, when it is expensive.