By Alex RiveraPublished June 20, 2026
The ROI of an AI receptionist is simple to estimate: multiply the calls you currently miss each month by your average job value, and compare that recovered revenue to the system's monthly cost. For most service businesses, recovering just a few missed calls a month covers the cost several times over.
The three numbers you need
- Missed calls per month — even a conservative estimate works (many businesses miss 20–40%).
- Average value of a job or customer.
- The share of recovered calls that turn into booked work (be conservative — say 1 in 4).
Worked example
| Input | Conservative example |
|---|---|
| Missed calls / month | 20 |
| Recovered & booked (25%) | 5 jobs |
| Average job value | $400 |
| Recovered revenue / month | $2,000 |
| Typical AI receptionist cost | A fraction of that |
In this example, recovering five jobs a month adds $2,000 in revenue you were otherwise handing to competitors — many times the cost of the system. Run it with your own numbers; even halving every assumption usually still nets a clear positive return.
The honest test: if your average job is worth a few hundred dollars or more and you miss calls weekly, an AI receptionist almost always pays for itself fast.