At one location, voicemail is piling up. At another, the front desk is trying to fill open appointment slots. A third says the phones are fine, even though the team is spending hours each day on routine scheduling calls.
Across a multi-location group, those phone gaps can look different from office to office. They still show up in the same places: patient access, front-desk workload, and appointment volume. Measuring them consistently helps you see where the biggest opportunities are.
If you haven’t estimated what missed calls are costing you yet, the Hidden Cost of Missed Calls guide is a good place to start.
You don’t need a complicated model to measure AI receptionist ROI. Start with three numbers: calls that would otherwise have gone unanswered, appointments booked from those calls, and front-desk time returned for other work.
Solutionreach’s AI Receptionist, Stella, answers patient calls when the front desk can’t, helping with scheduling, rescheduling, and cancellations while following the practice’s scheduling rules.
What Should Count Toward AI Receptionist ROI?
AI receptionist ROI should come from outcomes you can reasonably tie back to the technology. For most practices and healthcare groups, the clearest measures are recovered appointments, front-desk capacity returned, and coverage when your team can’t answer.
That value usually falls into three areas:
- Recovered appointment value: Appointments captured from calls that’d otherwise have gone unanswered.
- Staff capacity: Time returned to your front desk when routine scheduling calls, callbacks, and voicemail follow-up take less staff time.
- Patient access: More opportunities for patients to reach your practice and schedule care when staff are unavailable.
For the financial calculation, put the most weight on measures you can defend. Better patient access and experience still matter, but keep them as supporting measures unless your organization has a reliable way to assign a dollar value.
Call volume shows how much demand is coming in, not what happened because of it. For ROI, connect those calls to booked appointments, front-desk capacity returned, or another financial result you can reasonably attribute.
Phone access is also only one part of the broader patient-access picture. In a December 2025 poll of 236 medical practice leaders, MGMA found that no-shows were the top 2026 patient access priority at 27%, followed by online scheduling at 24% and phone access at 22%.
Build a Baseline Before You Measure the Lift
Before you evaluate the return, get a clear picture of what happens to your calls today.
A 30- to 60-day baseline gives you something real to compare against after launch. Break the data down by location, time of day, and call type so you can see when and where calls are slipping through.
Track:
- Inbound call volume
- Unanswered or missed calls
- After-hours calls
- Voicemail volume
- Scheduling calls
- Appointments booked from phone demand
- Callback volume
- Average appointment value or production value
- Staff time spent on routine scheduling calls
Use the same definitions at every location. If one office counts a call as missed when it reaches voicemail and another only counts hang-ups, your network-level numbers won’t mean much side by side.
Define scheduling conversion the same way, too. Decide what counts as a scheduling call, a booked appointment, and a cancellation before you compare results.
The baseline should also show where the phone workload is coming from. In a March 2026 MGMA poll of 294 practice leaders, scheduling accounted for 31% of the time-intensive phone tasks respondents identified. Eligibility and prior authorization accounted for 45%.
If scheduling is taking a large share of your team’s phone time, start there. Scheduling calls and the time spent handling them may tell you more about ROI than total call volume alone.
Track What Happens to the Calls Your Team Misses
Once the AI receptionist is live, focus on what happened to the calls your team couldn’t get to.
Track:
- Calls captured that otherwise would have gone unanswered
- Scheduling calls handled
- Scheduling conversion rate
- Appointments booked
- After-hours and overflow bookings
- Estimated production or revenue recovered
- Reduction in callbacks and voicemail
- Staff time returned
Then connect the call activity to an outcome. For example:
200 scheduling calls handled × 45% conversion = 90 booked appointments
If the average appointment value is $500, those bookings represent $45,000 in attributable production before the cost of the AI receptionist.
Use the financial measure your organization already trusts, whether that’s production, collections, contribution margin, or something else. A captured call by itself has no financial value. Tie it to an outcome, then use the same measure throughout the measurement period.
For a multi-location organization, review the overall result alongside each location’s performance. A strong network-wide number can hide a weak result at one office, while a low-volume location can make a percentage look unusually high or low.
Always check the volume behind the percentage before deciding what it means.
How to Calculate AI Receptionist ROI From Real Outcomes
Once you’ve attributable financial value, you can compare it with the cost of the AI receptionist using a simple ROI calculation:
ROI = (Attributable financial value – AI receptionist cost) / AI receptionist cost x 100
For example, if an organization attributes $50,000 in recovered appointment production to an AI receptionist and the solution costs $10,000:
($50,000 – $10,000) / $10,000 x 100 = 400% ROI
The formula is the easy part. The judgment comes in deciding what belongs in attributable financial value. Recovered appointment production can count. Documented labor or vendor-cost savings can count, too. Just don’t count the same benefit twice.
Front-desk time returned isn’t automatically payroll savings. If your team works the same hours, call it capacity returned. If you can document lower payroll, overtime, or another labor expense, then that financial impact can be included.
Apply the same financial measure consistently across locations so the results can be compared.
Use the missed-call ROI calculator to run your numbers.
A Real-World Example: Fadel Eye Professionals
Fadel Eye Professionals, a five-location optical group, used Solutionreach’s AI Receptionist as a missed-call backstop. Staff answered every call first, and Stella picked up after four unanswered rings.
Over 42 days, Stella answered 1,300 calls across the five locations and booked 71 appointments that otherwise would have gone to voicemail.
At the group’s $750 average appointment value, those 71 bookings represented $53,250 in recovered production. The group reported a 51% scheduling conversion rate, a 17x ROI, and breakeven with the third booked appointment over the 42-day period.
Fadel Eye Professionals’ results show what this measurement can look like in practice, but they’re not an industry benchmark. Your results will depend on call volume, appointment value, specialty, coverage model, and location.
You can read the full Fadel Eye Professionals case study for the location-by-location breakdown.
How Solutionreach Helps
Solutionreach’s AI Receptionist, Stella, gives your front desk backup during busy periods and after hours. You control when Stella steps in and the scheduling rules she follows while supported appointment requests keep moving in real time.
👉 Explore Solutionreach AI Receptionist
Compare ROI Across Locations Without Losing Context
A network-wide ROI number tells you whether the investment is working overall. It can still hide where the return is strongest, or where one location needs a closer look.
For multi-location and enterprise healthcare groups, break performance down by:
- Location
- Specialty
- Provider, when volume supports it
- Call type
- Time of day
- After-hours versus daytime coverage
Look for patterns behind the totals. High missed-call volume with low conversion may point to routing, scheduling rules, availability, or call mix. A lower-volume location can still produce a healthy return when appointment value is high.
Don’t judge a high-volume flagship location against the same raw booking target as a lower-volume office. Compare similar locations, and look at percentages alongside raw counts. That gives you a better basis for deciding where to expand coverage, change routing, or refine scheduling rules.
Give the Numbers Enough Time to Settle
Watch for early signals in the first 30 days. When possible, use a 60- to 90-day window before deciding whether the pattern is holding.
Early indicators include captured calls, after-hours bookings, reduced voicemail, and scheduling conversion. Over a longer window, look for sustained ROI, staff capacity returned, and consistent results across locations.
A few strong days aren’t enough to prove ROI. Compare similar periods when you can, because a seasonal demand spike can make a short window look better than the underlying trend.
For a closer look at what typically shifts early on, see what changes in the first 30 days.
Avoid the Mistakes That Can Distort ROI
- Counting every answered call as revenue. An answered call is an activity metric. A booked appointment is an outcome. Track both, but don’t assign financial value to a call unless it leads to an outcome you can reasonably attribute.
- Using gross lifetime patient value without a defensible attribution model. A booked appointment may have future value, but that doesn’t mean the full lifetime value should be assigned to the AI receptionist. Use the financial measure your organization can support.
- Ignoring cancellations and no-shows. A booked appointment doesn’t necessarily become completed production, so decide how your organization will account for cancellations and no-shows before calculating financial value.
- Taking credit for appointments that’d have been booked another way. If a patient could have reached the team, used online scheduling, or booked through another channel, don’t automatically count it as recovered demand.
- Comparing locations with different definitions or time windows. Use consistent definitions and measurement periods across locations.
- Counting staff time returned as cash savings when payroll didn’t change. If your team spends less time on routine calls but works the same hours, that’s capacity gained, not labor expense reduced.
- Ignoring operational value. Fewer callbacks, less voicemail, and better access can matter even when a dollar value can’t be assigned. Track those measures as supporting indicators rather than assigning arbitrary financial values to them.
AI Receptionist ROI FAQs
What’s a good ROI for an AI receptionist?
There’s no universal target. A good ROI is one that clears the return threshold your organization uses for comparable investments and holds up under the way you measure appointment value, coverage, and cost.
How quickly can you measure AI receptionist ROI?
You can start measuring as soon as you’ve the AI receptionist cost, call volume, bookings, and attributable appointment value for the same period. Treat the first few weeks as an early signal and use a 60- to 90-day window, when possible, to confirm the trend.
What costs should be included in AI receptionist ROI?
Include the AI receptionist cost for your measurement period and any implementation or incremental costs directly tied to the solution. If staff capacity is returned but payroll doesn’t change, treat that benefit as capacity rather than a cash saving.
How do you calculate revenue from missed calls?
Start with calls the AI receptionist captured, determine how many became appointments, then multiply attributable bookings by the practice’s approved appointment-value measure. Don’t treat every captured call as revenue.
Should staff time savings count toward ROI?
They can, but only when the time returned creates a documented financial impact. If the team works the same hours but spends less time on routine calls, treat that as capacity returned rather than labor savings.
How should a multi-location group compare AI receptionist performance?
Compare locations using consistent definitions and measurement periods, then account for differences in volume, specialty, appointment value, and coverage model before drawing conclusions from raw totals.
Make ROI Visible Before You Scale
If missed calls are leaving your team with voicemail backlogs, callbacks, or open appointment slots, start where the gap is easiest to see: the locations and coverage windows with the most missed demand.
Build the baseline, track the appointments and financial value tied to missed-call coverage, and keep an eye on the front-desk capacity you get back. Once the pattern is clear, you can decide where expanding coverage is likely to pay off next.
Your missed-call problem may be bigger than you think.
Use the guide to put a number on it.
