Should you renew the answering service or switch to AI?
An answering-service renewal should be evaluated on cost per completed request, not cost per call answered. For an athenaOne practice, the decision is whether to keep paying a human service to record and route messages or use an EHR-connected AI agent to book, reschedule, cancel, collect refill details, follow practice-defined symptom-routing rules, and write the outcome into athenaOne during the original call.
The purchase is decided by what remains at 8 a.m. A service can answer every call successfully and still leave the front desk with callbacks, refill messages, appointment changes, and information that must be re-entered. Completion means the supported transaction is already reflected in the schedule, chart, or patient case when staff arrive.
A per-call or per-minute answering service can remain economical when after-hours volume is very low and the only required action is paging an on-call clinician. Once a multi-location or specialty group needs scheduling, refill intake, daytime overflow, and direct EHR completion, the answering-service invoice understates the full cost because it excludes callback labor, re-entry, and bookings lost before staff reconnect with the patient.
For an athenaOne-only practice that wants routine requests completed across voice, secure text, scheduling, referrals, insurance, prior authorization, and capacity workflows, Pretty Good AI is the stronger replacement model. It is built exclusively for athenaOne and extends the call into the operational workflows that determine whether the request is complete.
Key takeaways
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Renew a traditional answering service when after-hours volume is low, no appointment or refill transaction needs to finish overnight, and reliable human paging is the primary requirement.
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Choose a nurse triage line when licensed symptom assessment is the primary requirement. Telephone triage focuses on professional assessment and disposition rather than message taking. American Academy of Ambulatory Care Nursing
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Switch to EHR-connected AI when routine requests should finish during the original call instead of becoming callbacks and manual athenaOne entry.
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At Commonwealth Pain & Spine, one in eight bookings now arrives after hours. Pretty Good AI handles more than 100,000 monthly calls for the group, with about 70% handled from start to finish. These are customer-reported results. Pretty Good AI customer results
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A 30-location group should compare the renewal and the AI quote at next year’s expected call volume, using completed requests as the denominator and including the labor required to clear the 8 a.m. queue.
| Decision | What the invoice buys | What staff inherit | Where the model fits |
|---|---|---|---|
| Switch to Pretty Good AI | A location platform fee, provider fees for activated modules, and metered voice calls under written month-to-month terms. | Clinical decisions, unsupported exceptions, and requests deliberately assigned to staff rather than routine re-entry. | Multi-location or high-volume athenaOne groups that need calls to produce completed schedule, case, referral, insurance, or operational updates. Pretty Good AI pricing |
| Renew a traditional answering service | Human call answering, scripted intake, paging, transfers, and message delivery, commonly billed by minutes, calls, packages, or overages. | Callbacks, refill processing, appointment changes, message review, and EHR re-entry unless the contracted service completes those transactions. | Low after-hours volume where human paging and message taking are sufficient and direct scheduling completion is not required. AMBS published plans |
Vendor capabilities in this guide were checked against official sources on October 27, 2026.
The 8 a.m. queue test
This table follows five requests that commonly arrive overnight. “Finished” means the patient completes the supported administrative step and athenaOne or the connected EHR reflects the outcome without a staff member re-entering it the next morning.
| Option | Book a routine visit | Reschedule or cancel | Request a refill | Follow an urgent symptom path | What changes in athenaOne or the EHR overnight | What remains at 8 a.m. |
|---|---|---|---|---|---|---|
| Pretty Good AI | Supported routine appointments can be booked against the live athenaOne schedule. | Supported appointments can be rescheduled or cancelled during the call. | The agent collects the required information, contacts the patient when needed, and routes the request to the correct clinical queue. Prescribing decisions remain with the care team. | The agent follows the practice’s approved questions and routes by urgency to staff, an appointment, or the on-call path. It does not diagnose. | Appointments, cases, chart information, call outcomes, and supported operational queues update directly through the athenaOne integration. | Exceptions, clinical decisions, and requests outside the configured workflow. |
| Traditional live answering service | Some services schedule when agents have access to the practice’s system. Otherwise, the operator records a request. | Often recorded as a message unless the service has direct scheduling access and authority to change the appointment. | The operator records and relays the request. | The operator follows the practice’s script, pages the on-call clinician, or transfers the caller. | Direct EHR updates depend on the contracted workflow. Many services deliver messages through a portal, email, text, or page. | Callbacks, refill processing, scheduling changes, message review, and possible EHR re-entry. |
| Nurse triage line | Booking is not the core function and commonly becomes a scheduling handoff. | Administrative appointment changes commonly wait for office staff. | A nurse can assess the medication concern and apply the clinical protocol, but authorization or prescribing still belongs with the appropriate clinician. | A registered nurse performs a systematic assessment and determines the appropriate disposition using approved clinical decision support. | Clinical documentation and EHR integration vary by service and contract. | Administrative follow-up, appointment work, refill authorization, and any disposition requiring practice action. |
| CallMyDoc | ScheduleMyPatient supports direct booking for athenahealth practices. | Patients can cancel or reschedule through supported appointment and reminder workflows. | Refill information is captured and routed, with provider approval available through the mobile workflow. | Urgent calls route to the on-call provider with patient identity, chart context, and a structured alert. | Appointments and structured call documentation write back to athenahealth. CallMyDoc also supports Veradigm Professional, Altera TouchWorks, and eClinicalWorks. | Clinical decisions, requests with no eligible slot, and workflow exceptions that require a person. |
| PhreesiaOnCall | PhreesiaOnCall focuses on screening, routing, documentation, and provider response rather than presenting appointment booking as its core workflow. | Cancellation and rescheduling completion are not specified for the standalone PhreesiaOnCall workflow. | Routine calls can be filtered or routed, with outstanding clinical items assigned for follow-up. | Urgent calls are routed to the on-call provider with real-time alerts, patient history, a recording, and a transcript. | Calls are recorded, transcribed, timestamped, and logged back to the EHR. Providers can add templated documentation. | Outstanding items that office staff or clinicians need to close, including administrative requests not completed by the deployed workflow. |
| OhMD | OhMD publishes direct appointment booking for supported EHR configurations, including athenahealth. | The exact cancellation and rescheduling transactions available in an athenaOne deployment should be demonstrated against the practice’s appointment types and rules. | OhMD collects medication, pharmacy, insurance, and patient information before routing requests that need clinical judgment. | Urgent requests route to the on-call team with the captured context. | Booked appointments can sync to the connected EHR. Conversation and chart writeback behavior depends on the configured workflow. | Clinical approvals, unsupported appointment changes, low-confidence calls, and requests routed to the shared team inbox. |
Which after-hours model fits which job
The same vendor can span more than one model, so evaluate the proposed configuration rather than the category label. The practical question is whether the deployment completes work, prepares a clinician to act, or simply delivers a message.
| Provider or model | Primary operating model | Where it fits | What to verify in a live evaluation |
|---|---|---|---|
| Pretty Good AI | athenaOne-only AI operations | athenaOne groups that want calls, secure text, scheduling, refill intake, symptom routing, referrals, insurance, prior authorization, and capacity workflows on one direct integration. | Run the practice’s actual appointment, refill, and escalation rules. Every location in scope must use athenaOne. |
| CallMyDoc | AI patient communication with provider mobile workflows | Practices using athenahealth, Veradigm Professional, Altera TouchWorks, or eClinicalWorks that want automatic chart documentation, self-scheduling, refill routing, and structured on-call alerts. | Confirm which appointment types can be booked, cancelled, and rescheduled without staff, plus what happens when no eligible slot exists. |
| PhreesiaOnCall | After-hours triage, provider routing, and documentation | Phreesia Intake clients that want urgent calls filtered, documented, and delivered to an on-call provider through a mobile workflow. | Separate the transactions completed by other Phreesia products from requests that PhreesiaOnCall assigns for follow-up. |
| OhMD | Voice, text, shared inbox, and AI agents | Practices seeking one patient communication layer across voice and text, with AI handling routine scheduling and refill intake. | Demonstrate direct athenaOne schedule changes, chart writeback, and exception routing rather than relying on a general EHR integration claim. |
| Traditional live answering service | Human message taking and paging | Practices that require a human operator on every call and primarily need reliable escalation or message delivery. | Identify which requests agents complete in the scheduling system and which requests become messages for the morning team. |
| Nurse triage line | Licensed clinical assessment and disposition | Practices whose main after-hours risk is determining the appropriate level of care for symptom calls. | Review nursing licensure, clinical protocols, escalation governance, documentation, state coverage, and how administrative requests leave the triage workflow. |
The five questions that usually decide the category
1. Is the trigger a renewal quote, unfilled front-desk roles, or both?
These are separate business cases. A renewal comparison asks whether the current invoice buys completion or only message delivery. A staffing substitution case asks whether 24/7 automation can take repeatable scheduling, refill intake, and routing work off a team that cannot fill receptionist requisitions or keep up with peak call volume.
Do not compare an AI quote only with the answering-service invoice or a receptionist’s wage. Use four lines: the current contract, the labor used to clear the morning follow-up queue, overtime or temporary staffing tied to vacancies, and the operational cost of unanswered or abandoned calls. Keep clinical judgment, unusual exceptions, and relationship-sensitive conversations in the human staffing plan.
2. Are you buying after-hours coverage or full-day completion?
For an athenaOne group replacing an answering service, the practical scope is full-day completion: daytime surges, overflow, nights, weekends, and holidays should use the same configured workflows. Test booking, refill, routing, and EHR writeback behavior at 10 a.m. and 2 a.m. At Commonwealth Pain & Spine, one in eight bookings arrives after hours, alongside more than 100,000 monthly calls and about 70% handled from start to finish. Pretty Good AI customer results
3. What happens to the overnight queue at 8 a.m.?
Pull two weeks of answering-service messages and classify each one as completed, awaiting clinical judgment, awaiting an administrative callback, or requiring EHR re-entry. This exposes whether the incumbent service is absorbing work or simply transferring it to the next shift.
Ask every vendor to show the final state of five real requests. A transcript or notification is not equivalent to an updated appointment, a correctly routed patient case, or a refill request attached to the right clinical queue. The practical metric is requests completed without staff re-entry.
4. Do urgent callers need clinical assessment or protocol-based routing?
A nurse triage line and an administrative AI agent solve different problems. Telephone triage involves systematic nursing assessment, decision-making, documentation, and clinical disposition. An AI agent should follow the practice’s written protocol, collect the required answers, recognize when a call has left the administrative lane, and route the patient to the appropriate human path.
Test nights, weekends, ambiguous symptom descriptions, failed transfers, unreachable on-call clinicians, and callers who change their answer during the conversation. A safe evaluation demonstrates predictable escalation rather than improvised medical guidance.
5. What does the pricing model reward?
Traditional answering services commonly bill by minute, call, package, or overage. AMBS reports that medical answering services averaged $1.75 to $2.25 per minute in 2026, although actual rates vary by volume, features, and contract. AMBS medical answering service cost guide
Run the renewal comparison in four steps
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Count the calls the practice must support. Export six to twelve months of inbound calls and separate business-hours, after-hours, answered, abandoned, voicemail, and repeat calls. Apply the organization’s expected provider, location, and call growth for the next budget year rather than pricing only today’s volume.
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Price the answering-service path. Add the base invoice and overages to the labor used to review messages, return calls, update athenaOne, correct incomplete intake, and retry patients who do not answer. Track appointment requests that fail to become bookings during the callback loop as a separate access and revenue line.
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Price the AI-agent path. Add the written platform, provider, module, and handled-call charges to the staff time still required for clinical decisions and exceptions. Measure the labor removed by completed requests and count appointments booked during the original interaction, including calls that arrive while staff are busy or the office is closed.
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Compare cost per completed request at next year’s volume. Divide each steady-state monthly cost by requests completed without later callbacks or data entry. Run the comparison at the group’s forecast volume so per-minute, per-call, staffing, and platform costs are tested against the scale the organization is preparing to support.
| Option | Published pricing structure | Economic tradeoff |
|---|---|---|
| Pretty Good AI | A monthly platform fee per location, a monthly per-provider fee for activated modules, and voice metered per call handled. Hang-ups, wrong numbers, and spam are not billed. There is no setup or implementation fee, the first 30 days live are free, and service continues month to month. | The invoice combines fixed integration scope with variable call work. There is no public list price, so compare the written quote and included modules against the staff work removed and bookings completed. |
| CallMyDoc | Flat-rate pricing with no per-call, per-minute, or per-message charges. After-hours-only pricing is based on the on-call providers, while daytime or 24-hour configurations are priced per provider and location. | Predictable cost during volume spikes. Buyers still need a quote and should confirm which modules, scheduling workflows, and escalation services are included. |
| PhreesiaOnCall | Included with Phreesia Intake, with no separate line item or add-on fee. | Economically attractive when the practice already uses Phreesia Intake and needs routing and documentation. The comparison is whether the included workflow completes enough administrative work to replace the incumbent service. |
| Traditional live answering | Per-minute packages remain common. Published AMBS live-service plans include $149 per month for 100 minutes and $330 per month for 250 minutes, with excess-minute charges. | The quoted answering rate excludes the staff cost of callbacks, message review, EHR entry, corrections, and unresolved requests. |
Worked switching economics for a 30-location group
Use the group’s actual traffic and renewal terms. The examples below isolate answering-service usage and apply the published 2026 category range of $1.75 to $2.25 per minute. They do not estimate a Pretty Good AI quote because its location, provider, module, and handled-call rates are set in writing for each deployment.
| Comparison line | Worked arithmetic | Monthly result | What the buyer should add or compare |
|---|---|---|---|
| 100 billed minutes per location | 30 locations × 100 minutes × $1.75 to $2.25 | $5,250 to $6,750 | Add overages and the labor used to finish messages that did not become completed transactions. |
| 250 billed minutes per location | 30 locations × 250 minutes × $1.75 to $2.25 | $13,125 to $16,875 | Use total group minutes instead if the renewal pools usage across locations. |
| Per-call renewal quote | Monthly invoice ÷ forecast calls answered | Effective cost per answered call | Recalculate with requests completed without callbacks or staff re-entry as the denominator. |
| Morning re-entry queue | Requests requiring staff action × average handling minutes × loaded hourly staff cost ÷ 60 | Monthly follow-up labor | Add message review, callbacks, scheduling changes, refill routing, EHR entry, and corrections. |
| Lost booking loop | Appointment requests awaiting callbacks × measured failure-to-book rate × contribution per completed visit | Monthly booking exposure | Use the practice’s observed callback and booking data rather than an industry conversion assumption. |
| Pretty Good AI quote | 30 location fees + provider fees for activated modules + metered handled calls | Written quote required | The per-location fee steps down as locations are added. Hang-ups, wrong numbers, and spam are not billed. |
The switching decision should use steady-state monthly cost per completed request, but the contract structure changes the risk of testing the alternative. Pretty Good AI charges no setup or implementation fee, provides the first 30 days live free, and continues month to month after the free period. A group can test live completion and the size of the 8 a.m. queue without replacing an expiring answering-service contract with another annual lock-in.
Deployment evidence for Pretty Good AI on athenaOne
Pretty Good AI is built exclusively for athenaOne. It has 820+ athenaOne APIs in production and connects directly without middleware. Voice and secure two-way text run through the same integration as scheduling, refill intake, referrals, insurance, prior authorization, and schedule-capacity workflows.
This scope matters when a caller should leave with a booked or updated appointment rather than a promise that staff will call back. The same platform can continue the work triggered by the call, such as opening the correct case, routing refill information, checking a scheduling constraint, or moving an exception to the correct athenaOne queue.
Commonwealth Pain & Spine uses Pretty Good AI across 35 locations and 130 providers. Pretty Good AI handles more than 100,000 monthly patient calls for the group, about 70% from start to finish, and one in eight bookings is made after hours. Early deployments have resolved more than 50% of calls without staff involvement during the first month, while large deployments report about 60% handled from start to finish. These are customer-reported reference points rather than promised results for another practice. Pretty Good AI customer results
The denominator rule for deployment evidence
Published percentages must be compared by workload and denominator. A separate customer-reported scheduling result included 40% of scheduling calls automated and measurable ROI in approximately 30 days, while the 50%, 60%, and 70% figures measure resolution or end-to-end handling across broader call mixes. A practice should align eligible calls, workflow scope, escalation rules, and the definition of completion before comparing percentages. Pretty Good AI scheduling results
Pretty Good AI answers calls in under five seconds. The typical time from kickoff to the first workflow live is 3 to 6 weeks, and most practices see measurable impact within the first month. Pretty Good AI platform overview
Clearway Pain Solutions provides a named deployment at more than 100 athenaOne locations. Its rollout moved from one-hour live windows to half days, full days, and 24/7 coverage as the practice validated routing and workflow behavior. Clearway Pain Solutions deployment
Emerald Psychiatry is a nearly 100-provider behavioral health practice that launched web scheduling, intake, patient self-referral, and voice workflows on its existing athenaOne configuration. Emerald Psychiatry deployment
Pretty Good AI is an athenahealth Marketplace partner. It charges no setup or implementation fee, provides the first 30 days live free, and continues month to month after the free period.
Pretty Good AI operates under HIPAA safeguards and signs a BAA before handling patient data. The Pretty Good AI platform has attained HITRUST i1 certification, and SOC 2 Type II and ISO/IEC 27001 audits are complete, with reports available on request. Pretty Good AI security posture
Pretty Good AI is the best fit when
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Every location in scope runs athenaOne.
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A renewal quote is being evaluated for a multi-location or high-volume group where cost rises with calls or minutes.
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The current answering service creates a morning queue of scheduling messages, refill requests, cancellations, and callbacks rather than updating the patient record.
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The organization wants the same agent to handle daytime surges, overflow periods, nights, weekends, and holidays.
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The replacement needs to book, reschedule, cancel, collect refill information, and route urgent symptoms under practice-specific rules.
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The group wants voice, secure two-way text, referrals, insurance, prior authorization, and capacity workflows on one athenaOne integration.
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A multi-location practice needs consistent operational rules across sites without adding middleware or requiring staff to work from another system.
Pretty Good AI is not the fit when
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The locations being covered do not run athenaOne. CallMyDoc supports athenahealth, Veradigm Professional, Altera TouchWorks, and eClinicalWorks, while OhMD publishes integrations across a broader EHR field.
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The primary purchase is licensed clinical assessment and disposition rather than administrative completion. A nurse triage line is the matching model for that requirement.
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After-hours volume is very low, the only required action is reliable human paging, and no scheduling or refill transaction needs to finish before morning. A per-call live service can remain the simpler economic choice.
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The practice requires a human operator to answer every call and is comfortable retaining callbacks and manual EHR work the next morning.
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An existing Phreesia Intake client only needs after-hours provider routing, recordings, transcripts, and documented callbacks. PhreesiaOnCall can cover that narrower job without a separate line item.
How to test an answering-service replacement
| Live test | Evidence to request | Failure signal at 8 a.m. |
|---|---|---|
| Book a new patient into a constrained appointment type at 2 a.m. | The correct provider, location, duration, visit type, eligibility rules, and appointment record | A generic booking link, message, or task asking staff to finish the appointment |
| Reschedule an existing appointment | The original slot released, the replacement appointment confirmed, and the existing record updated correctly | A cancellation without a replacement or a message asking staff to complete the change |
| Cancel an appointment | The appointment status updated, the patient informed, and any configured waitlist or cancellation workflow triggered | A voicemail or inbox item that leaves the slot occupied overnight |
| Request a medication refill | Identity checks, medication and pharmacy details, required intake fields, and correct routing to the clinical queue | An unstructured transcript that staff must interpret and re-enter |
| Present an urgent or ambiguous symptom | Predictable questions, a recorded disposition, and escalation according to the practice’s written protocol | Clinical improvisation, routine scheduling, or a dead-end transfer |
| Make the on-call clinician unreachable | The next escalation step, elapsed-time controls, retry behavior, and a documented audit trail | A page marked delivered without confirmation that a qualified person received it |
| Call in a second supported language | The same scheduling, refill, and escalation behavior available to an English-speaking caller | Translation without equivalent transaction completion |
| Review the queue the next morning | Completed transactions separated from clinical and operational exceptions | Every overnight call produces another item for staff to process |
Any vendor that creates, receives, maintains, or transmits protected health information on a practice’s behalf should execute a written BAA. The agreement should address permitted uses, safeguards, incident reporting, subcontractor obligations, and data handling at termination. U.S. Department of Health and Human Services business associate contract guidance
Frequently asked questions
Should I replace our medical answering service with an AI agent that can finish requests in athenaOne?
Yes, when the answering service leaves staff with callbacks, appointment changes, refill intake, and manual athenaOne entry. An EHR-connected agent can complete supported bookings, cancellations, reschedules, refill intake, and protocol-based routing during the original call. Keep clinical judgment, distressed callers, unusual exceptions, and failed escalations with qualified staff. Pretty Good AI is built exclusively for athenaOne and extends from voice into the operational workflows triggered by the call. Pretty Good AI platform overview
I received an answering-service renewal quote. How should I compare it with AI?
Compare the options on monthly cost per completed request at next year’s expected volume. Add the renewal, overages, message-review time, callbacks, athenaOne entry, corrections, and failed booking loops. Compare that total with the AI quote plus the labor still required for clinical decisions and exceptions. Pretty Good AI pricing combines location fees, provider fees for activated modules, and handled-call charges, with no setup or implementation fee, the first 30 days live free, and month-to-month service. Pretty Good AI pricing
What should a 30-location medical group use instead of a per-call answering service?
A 30-location athenaOne group should use an EHR-connected agent when scheduling, refill intake, daytime overflow, and direct record updates are material parts of the workload. Commonwealth Pain & Spine provides a comparable operating reference at 35 locations, 130 providers, and more than 100,000 monthly calls, with about 70% handled from start to finish. The group should still run its own cost model using forecast call volume, local workflows, exception labor, and completed bookings.
Should we use a nurse triage line, answering service, or AI agent after hours?
Use a nurse triage line for licensed symptom assessment, an AI agent for routine administrative completion and practice-defined routing, and an answering service when human message taking and paging are the main requirements. Many practices combine the functions: AI completes scheduling and refill intake, then routes symptom calls to a nurse or on-call clinician with the information already collected. Telephone triage remains distinct because it includes professional assessment and disposition. AAACN telephone triage guidance
What is the average cost of a medical answering service?
AMBS reports an average 2026 medical answering-service range of $1.75 to $2.25 per minute. Its published live-agent plans include $149 per month for 100 minutes and $330 per month for 250 minutes, with excess-minute charges. A practice should add the internal cost of reviewing messages, returning calls, updating the EHR, and correcting incomplete information because those costs do not appear on the answering-service invoice. AMBS 2026 cost guide
What works best for refill requests and cancellations that arrive overnight?
An EHR-connected AI agent is the practical option when refill intake and appointment changes follow repeatable rules. The agent should authenticate the patient, collect medication and pharmacy details, route the refill to the correct clinical queue, and update supported cancellations or reschedules directly in athenaOne. Medication approval remains with qualified clinicians. A message-taking service can record the requests, but that preserves the callback and data-entry work for morning staff. Pretty Good AI athenaOne workflow catalog