NextGen has a lot of AI. It says so on its own page: over 70 AI workflows in use or in development [1].

What it does not appear to have is a patient-facing phone assistant of its own. The flagship, the NextGen Intelligent Agent, is pointed in the opposite direction: it is described as an always-on layer that uses voice and text commands to help providers and staff interact with the EHR, delivering daily briefings, flagging schedule density, and surfacing visit reasons before the clinic day begins [1].

That is a staff tool, not a front desk. For the actual phone, NextGen points at its marketplace, where it lists EliseAI as a partner for voice, text and web patient communication [2].

So the decision on NextGen is not native versus third party. It is which third party, on a platform that has already nominated one.

Key Takeaway: NextGen's own AI, the NextGen Intelligent Agent, is an internal orchestration layer for staff and providers working inside the EHR, not an inbound patient phone line [1]. For patient-facing voice, NextGen's marketplace lists EliseAI, which handles scheduling, rescheduling, insurance and new patient intake, billing and outreach across voice, text and web, and states that its voice product resolves 88 percent of inbounds without staff intervention [2]. The listing specifies a prerequisite most articles skip: NextGen Enterprise version 5.9 and up[2]. Because there is no native incumbent on the phone, NextGen is the most open of the major ambulatory systems for a third-party receptionist, and the comparison is partner against partner rather than vendor against native. Sully.ai answers the phone, books into the chart, and runs intake on the same connection that handles notes and coding.

What NextGen's Own AI Actually Does

The NextGen Intelligent Agent Faces Inward

NextGen describes the Intelligent Agent, which it abbreviates to N.I.A., as the orchestrator of its platform. It gives AI-guided daily briefings, identifies schedule density, highlights appointment types, surfaces visit reasons and flags bottlenecks before the clinic day begins [1].

Read who that is for. Schedule density and visit reasons are things your staff want to know. A patient calling to book an appointment does not need a daily briefing.

That is not a criticism of the product. It is a well-aimed tool at a real problem, and it is a genuinely different problem from the one a ringing phone represents. It just means that if you are on NextGen and your phone is the thing hurting, the native AI is not the answer, and no amount of enabling it will become one.

The Numbers on NextGen's AI Page, Read Carefully

NextGen publishes a set of averages for what its AI solutions deliver. Among them: 2.5 hours of charting saved per provider per day, a 45 percent decrease in denial rates, a 70 percent reduction in the appeals process, and 95 percent of incoming calls resolved[1].

That last one is the relevant figure, and it needs handling honestly.

It is attributed to "our AI solutions" as a category, not to a specific named product, on a page that covers charting, appeals, denials and calls together [1]. The marketplace listing for EliseAI, on the same domain, states a different figure for a specific product: 88 percent of inbounds resolved by VoiceAI without staff intervention [2].

Those are two different numbers on two NextGen pages, and they may well be measuring different things over different populations. The useful move is not to pick the bigger one. It is to ask any vendor, including this one, what exactly was counted and over what period before treating either figure as a forecast for your practice.

The Marketplace Route, and What Is In It

EliseAI, as NextGen Lists It

From the NextGen marketplace listing [2], the stated scope is wider than call answering:

Inbound. Appointment requests by voice, text or web, for new and existing patients, with voice resolving 88 percent without staff involvement.

Intake and insurance. Insurance collected by phone or text, eligibility checks run, and only qualified patients scheduled.

Outbound. Automated outreach, virtual waitlists and personalized reminders aimed at schedule utilization and no-shows.

Online booking. A conversational booking agent for your website that applies your scheduling rules and escalates to voice when needed.

Billing. Billing questions answered and balances collected by text.

The outbound and waitlist capabilities are worth noting because they are a different category of value from answering the phone. Filling a cancelled slot is revenue you were otherwise going to lose, and it does not depend on anyone calling you.

Two Things to Check Before You Assume It Fits

The version requirement.The listing specifies NextGen Enterprise version 5.9 and up [2]. If you are behind that, the marketplace route has a prerequisite that is an upgrade project, not a procurement decision. Check your version before anything else in this article matters.

The listing describes another EHR in one place.Under insurance verification, the NextGen marketplace listing says eligibility images are uploaded into Athena [2]. That is athenahealth, on a NextGen page.

This is almost certainly copy reused from a listing written for a different system rather than anything meaningful about the product. But it is worth treating as a small, useful signal: ask the vendor to walk you through the insurance and intake flow in NextGen specifically, with your version, rather than accepting a capability list that may have been written for somewhere else. That is a fair question to ask any partner, and a good one will welcome it.

Why NextGen Is the Most Open of the Big Three

Put the three major ambulatory systems next to each other and the shape of each decision is different.

eClinicalWorks built its own contact center, healow Genie, shipped it, and published a case study with a specific automation figure. A practice there is asking whether the native product is enough.

athenahealth announced its own front desk voice assistant in February 2026 with the voice capability scheduled for the second half of the year. A practice there is deciding whether to wait.

NextGen points its own AI at staff and sends the phone to the marketplace. A practice there has no native incumbent to compare against at all.

That is the most open position of the three, and it cuts both ways. There is no default to fall back on, which means the evaluation is entirely yours to run. It also means a third party is not fighting the platform's own product for the same job, so the comparison is on merit rather than on who owns the integration.

How to Add an AI Receptionist to NextGen Step by Step

1. Check Your NextGen Enterprise Version First

Before anything else. The marketplace partner listing requires 5.9 or above [2], and other vendors will have their own floors. A version check takes ten minutes and can save a procurement cycle.

2. Measure What Your Phone Is Doing

Inbound volume, how many calls go unanswered or abandoned, and the top request types. If most of your calls are scheduling, refills and balances, almost any competent tool will move the number. If a meaningful share are clinical, intake-heavy or insurance questions, that is where vendors actually differ.

3. Decide Whether You Want Inbound Only, or Outbound Too

This is the NextGen-specific fork, and it is easy to miss while focused on the ringing phone.

Answering calls recovers bookings you were losing. Outbound waitlist and no-show work recovers slots that were already empty.They are different problems with different economics, and not every vendor does both. The marketplace partner explicitly does [2].

4. Write Down Your Booking Rules

Which appointment types exist, which providers take which, how long each takes, what can be double-booked, and what must reach a human immediately.

Practices routinely discover at this step that these rules live in one staff member's head. That discovery is worth the exercise regardless of what you end up buying.

5. Test the Calls That Actually Reach You, Then Watch the Escalations

Run your real call mix, including the awkward ones, and then watch what gets handed to staff in the first two weeks. The escalation log tells you where the line sits between what the tool finishes and what it passes on, which is the only thing that distinguishes these products once they are all answering the phone.

What to Look For in a NextGen Voice Tool

Does it write a real appointment into NextGen?Not "do you integrate with NextGen" but "when a patient books on the phone, does that appointment appear in NextGen without a human retyping it".

Which NextGen versions and modules does it support? Ask for the floor, in writing, and check it against what you run.

Can it demonstrate the flow in NextGen, not in general?Insurance capture and intake especially. See it in your system.

Does it do outbound as well as inbound? If filling cancellations matters to you, ask specifically, because it is a separate capability.

Security and compliance. A signed business associate agreement, HIPAA-compliant handling, and a clear answer on where call recordings and transcripts live and for how long.

Best AI Receptionists for NextGen

1. Sully.ai. Answers the phone, books and reschedules into the chart, runs intake and routes what needs a person, on the same connection that handles notes and coding. On a platform with no native phone product, the architectural argument matters more than usual: one integration behind the call, the note and the coded visit rather than three. There is a recording library of real call types if you want to hear it before talking to anyone.

2. EliseAI. The partner NextGen lists on its own marketplace, covering inbound voice, text and web, intake, insurance, billing and outbound outreach, with a stated 88 percent inbound resolution rate and a NextGen Enterprise 5.9 requirement [2]. The default worth evaluating first, precisely because the platform nominated it.

3. Assort Health. Publishes a NextGen Enterprise integration for scheduling, patient access and referrals. A direct comparison with Sully is here.

4. Interactly. Publishes a NextGen voice integration aimed at ambulatory and specialty practices.

5. CuroAI. Publishes a NextGen integration covering appointment scheduling, patient demographics and bidirectional sync.

Shortlist on one question rather than on feature tables: which of these finishes the call types that currently reach your staff, and which of them can show you that happening inside NextGen.

Where Sully.ai Fits in a NextGen Practice

NextGen's own AI is aimed at the people inside the building. That is a legitimate choice and the Intelligent Agent looks like a serious tool for it [1]. But it leaves the phone to somebody else, which means on NextGen you are choosing a partner either way.

The case for Sully on this platform is the same as everywhere, and it is architectural rather than conversational. A call that creates an appointment, a visit that creates a note, and a note that becomes a coded claim are three things most practices integrate three times. Sully.ai runs them on one connection, across Epic, Cerner, Meditech and Athenahealth as well as NextGen, which matters most to groups running more than one system.

Two boundaries, and both are refusals.

Nothing should make a clinical decision on the phone. Triage and symptom calls get routed to a person with context. Anything that decides whether a patient is seen today belongs with a clinician.

A tool cannot answer a question your booking rules have not answered. If the rules are not written down, no vendor can follow them, and the first two weeks will be spent discovering that rather than recovering calls.

Sully operates across 5,000+ providers, has delivered 50M+ hours of work, and prices each role 80 to 90 percent below the human equivalent [3].

FAQ

Does NextGen have its own AI receptionist?

Not a patient-facing one. The NextGen Intelligent Agent is an internal orchestration layer that helps providers and staff interact with the EHR using voice and text commands, with daily briefings, schedule density and visit reasons [1]. For inbound patient calls, NextGen lists partners on its marketplace, including EliseAI for voice, text and web [2].

What does NextGen's "95 percent of incoming calls resolved" figure refer to?

NextGen publishes it among averages attributed to "our AI solutions" as a category, on a page that also covers charting, appeals and denials [1]. The marketplace listing for EliseAI separately states 88 percent of inbounds resolved by VoiceAI without staff intervention [2]. They are different claims on different pages and may measure different things, so ask any vendor what was counted and over what period before treating either as a forecast.

What do I need before I can add a voice tool to NextGen?

Check your NextGen Enterprise version first. The marketplace partner listing specifies version 5.9 and up [2], and other vendors will have their own requirements. After that: your booking rules written down, a signed business associate agreement, and a clear picture of what your phone is actually doing today.

Can an AI receptionist book appointments directly into NextGen?

A tool connected at the API level can read the live schedule and write a real appointment back. A shallower integration captures the request and leaves a human to enter it. Both get described as "integrated", so ask whether the appointment appears in NextGen without anyone retyping it.

How is this different from adding an AI scribe to NextGen?

Different problem and a different competitive picture. The scribe version of this guide is here.

Sources

[1] NextGen Healthcare — Artificial Intelligence. https://www.nextgen.com/artificial-intelligence

[2] NextGen Healthcare — Marketplace listing, EliseAI. https://www.nextgen.com/solutions/marketplace/eliseai

[3] Sully.ai — Receptionist. https://www.sully.ai/receptionist