Pretty Good AI vs Sully.ai
Pretty Good AI vs Sully.ai
Sully.ai sells AI agents across sixteen EHRs. Pretty Good AI is built only for athenaOne. Compare integration depth, front-desk scope and what ships now.
The short answer
Pretty Good AI is the AI operations platform built only for athenaOne, with production access to 820+ athenaOne APIs and modules that run from referral and intake through to billing. Sully.ai sells a suite of AI agents, a Receptionist, a Scribe, a Medical Coder and clinical support agents, activated from one integration and listed against sixteen EHRs including athenahealth. The comparison is breadth across EHRs against depth on one. Sully.ai is spending its integration effort across every major EHR; we spend all of ours on athenaOne, which is why a call can finish inside the record instead of becoming a task. Clinical decisions stay with your care team.
Pretty Good AI vs Sully.ai, side by side
| Dimension | Pretty Good AI | Sully.ai |
|---|---|---|
| EHR scope | athenaOne only. Every workflow is written against athenaOne records and your practice rules, and that is the only scope boundary we state. | Its integrations page lists sixteen EHRs, including Epic, Cerner, MEDITECH, Veradigm, NextGen, ModMed and athenahealth. athenahealth is one entry on that list. [3] |
| Integration depth | Production access to 820+ athenaOne APIs, read and write. Significant depth across the whole of athenaOne, where most vendors pick a narrower wedge and build inside it. | Describes one secure EHR integration that powers scheduling and notes, with bidirectional data flow. No athenaOne-specific integration depth is published. Ask which athenaOne records each agent writes. [3] |
| How the product is packaged | One platform, one athenaOne integration, modules switched on per practice: patient engagement, task automation, referral intake, revenue cycle, plus reporting across all of it. | Named agents activated from the same integration: Receptionist, Scribe, Medical Coder, Medical Assistant and Nurse. The company describes configuring once and scaling across sites. [3] , [2] |
| Front-desk scope published | Voice answers and completes the work, unanswered calls become cases in athenaOne, secure two-way text runs on the same integration, and web scheduling, self-check-in, forms and fax run alongside it. | Its Receptionist page lists syncing provider schedules and visit types, identifying intent across calls and chats, insurance verification, booking and rescheduling, waitlists, reminders by SMS, email or phone, recording outcomes in the EHR and flagging edge cases to staff. [4] |
| What the athenahealth Marketplace listing covers | The listing is the platform we sell. 45 practice connections, 22 ratings, all five-star. athenahealth Marketplace partner since 2025. As of October 2026. | The listing describes the clinical assistant: notes, differential diagnosis, clinical plans, prescriptions and patient records from the recorded visit. It was last updated in June 2025, before the five-agent suite the company sells on its own site today. [1] |
| athenaOne modules required | Workflows are built against the athenaOne records a practice actually uses, scheduling and practice management included. | The Marketplace listing names athenaClinicals as a required athenahealth product. A practice evaluating the listed product should confirm what it needs on the practice-management side. [1] |
| athenahealth Marketplace record | 45 practice connections, 22 ratings, all five-star. athenahealth Marketplace partner since 2025. As of October 2026. | 42 practice connections, 4.27 average across 11 ratings, 11 written reviews. Listed since June 2024. Checked 2 October 2026. [1] |
| How you buy it | Direct. Pricing model published: platform per location, a per-provider fee for the modules switched on, voice per call. No setup fees. First 30 days live free. Month to month after. No annual lock-in. | Listed as an Alliance Partner solution available through athenahealth, where an athenahealth representative follows up with availability, pricing and implementation details. No price is published. [1] |
| Time to live | 3 to 6 weeks on athenaOne, including the discovery work that finds your unwritten scheduling rules. | Describes launching in weeks with white-glove onboarding, and adding use cases afterward without heavy lifts. [3] |
Sixteen EHRs, or one
Pretty Good AI is built for athenaOne and nothing else. Sully.ai lists sixteen EHRs on its integrations page, with athenahealth as one entry among Epic, Cerner, MEDITECH, Veradigm, NextGen and the rest, and activates named agents from a single integration layer that has to serve all of them.
That is a reasonable way to build a company. It is also the whole comparison. Every hour of integration engineering a vendor spends is spent either on breadth or on depth, and a practice feels the choice at the moment a call needs to finish.
What depth actually buys you
Voice runs under a constraint that documentation does not. There is no draft. The patient is on the line, the agent gets one pass, and whatever it decides has to be correct and has to land in athenaOne before the call ends.
That is why we hold production access to 820+ athenaOne APIs, read and write, with significant depth across the whole of athenaOne where most vendors pick a narrower wedge and build inside it. It is also the honest answer to the question practices actually ask, which is why some vendors’ calls finish and others’ calls turn into a task for the front desk. It is not voice quality. Everyone’s voice is good now. Calls finish when the agent can read the live record during the call, the real scheduling template and slot type, the appointment types a given department uses, the provider group, the insurance on file, the order and tickler queues, and write back before it hangs up.
The rule that is not written anywhere
Here is the shape of the problem a shared integration layer has to solve sixteen times.
At one vascular group, roughly nine in ten visits are a diagnostic ultrasound paired with an office visit with the physician, booked together with specific spacing between them. Patients do not know this. They call and ask for an appointment with their doctor. Nothing in the scheduling template requires the pair. The rule exists only as practice convention, which means the only way to find it is to read ninety days of their own booking history, infer the pattern, and then confirm it with the staff before writing it into a workflow.
We know exactly how that fails, because it failed on a live test call at that group. The agent booked the ultrasound and the provider visit for one body region, and the follow-up task that should have been created was not. Half the workflow silently did not exist. Staff caught it in review, which is the point: the exception surfaced to a human who was expecting to look, rather than to a patient at check-in three weeks later.
No amount of conversational quality substitutes for reading the configuration, and no generic integration layer infers an unwritten convention at one practice in one specialty. That work is specific, it is per practice, and it is what we do instead of spreading across EHRs.
Read the listing and the site as two different documents
If you are evaluating Sully.ai from inside athenahealth, one thing is worth checking before you shortlist.
Its athenahealth Marketplace listing describes the clinical assistant: notes, differential diagnosis, clinical plans, prescriptions and patient records generated from the recorded visit. The listing was last updated in June 2025 and names athenaClinicals as a required athenahealth product. Its own site today sells five agents, front desk included. Both are published by the vendor and they describe different products.
That is not a criticism, it is a question to ask on the call. Which agents are generally available for an athenaOne practice this quarter, which athenaOne records does each one write, and what does the Marketplace listing cover if you buy through athenahealth as an Alliance Partner solution rather than direct.
What runs on our side today
Voice answers and completes the work. Unanswered calls become cases in athenaOne. Secure two-way text runs on the same integration, so a thread and a call share context and write the same records. Around that: referral intake from fax, portal and web, tickler and order outreach, waitlist backfill and no-show recovery, eligibility and prior-auth prep, denials and appeals, balance outreach under your billing team’s rules, post-visit outcome calls and surveys, forms signed inside athenaOne, web scheduling and self-check-in, and per-call review with reporting on all of it. We run the full administrative call in 10 languages, English, Spanish, French, German, Hindi, Russian, Portuguese, Japanese, Italian and Dutch, with the same workflows in each.
Clinical decisions stay with your care team. The Pretty Good AI platform has attained HITRUST i1 certification. Pretty Good AI signs a HIPAA Business Associate Agreement (BAA) before any patient data is touched. SOC 2 Type II and ISO 27001 audit reports are available upon request.
What we would tell you to check
Ask each vendor for a live call on your own tenant, not a demo tenant, and watch whether it ends with the record updated and no task created. Ask what happens on the calls that fail, who sees the exception, and who rewrites the workflow when your scheduling rules change in January.
Then ask the breadth question directly. Ask how many engineers work on the athenaOne integration specifically, and what shipped for athenaOne in the last quarter rather than for the platform generally. Our answer is all of them, and the list is long, because athenaOne is the only integration we have.
Then run the test that actually separates us. Describe the most awkward local rule you have, the one your staff work around every week, and ask each vendor how long it takes to automate that rule exactly as your practice runs it. Our answer is days to weeks inside the same onboarding window, because the depth of the athenaOne integration is what makes an unusual workflow buildable at all, and because we map the workflow your staff already run rather than asking them to re-cut it to suit the product. You do not adapt to us.
Then get the total. Ours is a platform fee per location, a per-provider fee for the modules you switch on, and voice metered per call. We agree on the first workflow, how success will be measured, and the pricing for continued use before launch. There are no setup fees. Your first 30 days live are free. The clock starts when your first agreed workflow goes live in your practice, whether that is voice, web scheduling, referrals or another workflow. When the free 30 days end, service continues automatically, month to month, at the pricing in your order form. New workflows are priced when activated. Every competitor figure on this page was checked against the vendor’s own pages and the athenahealth Marketplace on 2 October 2026.
Frequently asked questions
- What is the difference between Pretty Good AI and Sully.ai?
- Pretty Good AI is built only for athenaOne and holds production access to 820+ athenaOne APIs, so one platform runs the phone, the schedule, referral intake and the revenue workflows against live athenaOne records. Sully.ai sells a suite of AI agents, including a Receptionist, a Scribe and a Medical Coder, from a single integration layer that it lists against sixteen EHRs. The difference is where the integration effort goes. [3]
- Does Sully.ai do front-desk work or only clinical documentation?
- Both, according to its own site. Sully.ai publishes a Receptionist agent that schedules, verifies insurance, books and reschedules, runs waitlists and sends reminders, alongside the Scribe that works inside the visit. Its athenahealth Marketplace listing is narrower than that and still describes the clinical assistant, so if you are evaluating through the Marketplace, ask which agents are in scope for an athenaOne practice today. [4] , [1]
- Which one should an athenahealth practice pick for phone calls?
- Pretty Good AI. Voice is where we started and the agent was built against athenaOne rather than against a shared integration layer serving sixteen EHRs. Ask both vendors to place a live call on your own tenant and show it finishing with athenaOne updated and no task created for staff. Then ask what happens to the calls that fail, and who maintains the workflow when your scheduling rules change.
- Can a practice run a scribe and Pretty Good AI at the same time?
- Yes. An ambient scribe works inside the encounter and we work on the operations around it, so nothing we run competes with a documentation tool for the same record at the same moment. What matters for the comparison is the rest of the day: the calls, the schedule, the referrals that arrive by fax, the balances and the paperwork. That is what we are built to run.
- How many athenaOne APIs does each vendor use?
- We publish ours: production access to 820+ athenaOne APIs, read and write. Sully.ai does not publish an athenaOne figure, and we will not estimate one for them. Ask any vendor the operational version of the question instead: which athenaOne records does the agent write during a call, and what does it do when the record it needs is configured in a way it has not seen before. [3]
Sources
Everything stated here about another vendor comes from that vendor's own public material or from the athenahealth Marketplace listing, on the date shown. Vendors change their products and their pricing; if something below is out of date, email contact@prettygoodai.com and we will correct it.
Competitor cells last checked against these sources by Kevin Henrikson on 2026-10-02.
- Sully.ai, athenahealth Marketplace listing (accessed 2026-10-02)
- Sully.ai company site (accessed 2026-10-02)
- Sully.ai, EHR integrations (accessed 2026-10-02)
- Sully.ai, AI Receptionist (accessed 2026-10-02)
- Pretty Good AI, athenahealth Marketplace listing (accessed 2026-10-02)
Why athenaOne practices evaluate Pretty Good AI
We are your AI team for athenaOne.
Your practice has its own providers, processes, and rules. Pretty Good AI works with your team to fit the first workflow to the work you want to improve, agree on how to measure it, and keep improving it as your practice changes.
Live and measured
- 100,000+
- patient calls a month, at more than one customer
- About 60%
- of those calls handled start to finish by the AI at the largest deployments
- Hundreds
- of providers inside a single group
- 20
- specialties on our athenahealth Marketplace listing
Customer-reported results. Your numbers will vary by workflow, staffing, seasonality and call mix.
See it against your own athenaOne data
The honest way to compare is on your own call volume, your own schedule and your own payer mix. Book a working session and we will walk your numbers.