See Your AI Savings: What a Voice AI Phone Assistant Is Actually Worth

Every business we talk to has the same blind spot: they know roughly how many calls they get, and they have no idea how many they lose.

Not "lost" as in the caller left a voicemail. Lost as in the line was busy, or it was 19:30, or it was a Saturday, and the person calling simply dialled the next result on the page. That call never appears in any report. It is invisible, and it is expensive.

So we built a calculator to make it visible: See Your AI Savings.

What it does

You move six sliders — call volume, average call length, how many people answer phones, what they cost, how many calls go unanswered, and what one booking is worth. It returns four numbers:

Estimated annual benefit — handling-cost savings plus recovered revenue
Cost reduction — how much cheaper call handling gets
ROI multiple — benefit divided by what the assistant costs
Break-even — the month the cumulative line crosses zero

No signup, no email gate. It runs entirely in your browser.

The model, in the open

Most ROI calculators are marketing instruments dressed as maths. The assumptions are hidden, the defaults are flattering, and the number at the end is designed to make you book a call.

We published ours directly on the page, below the result. Here is what sits behind it:

Human cost per minute is derived from a fully loaded annual cost divided by the minutes a person is realistically on the phone — 220 working days, 8 hours, at 65% call utilisation. Nobody is on calls 100% of their paid time, and pretending otherwise inflates the savings.

AI containment is set at 60%. That is the share of call minutes the assistant resolves end to end, with no human handover. The remaining 40% still costs you people time in the model. Vendors quoting 90%+ containment are describing a demo, not a Tuesday.

Recovered revenue is deliberately pessimistic. The assistant answers 90% of currently-missed calls, and only 35% of those turn into booked value. We could have used a higher conversion figure and produced a much prettier number. We would rather the estimate survive contact with your accountant.

No salary cuts are assumed. This is the important one.

What we do not assume

Some vendors in this space model savings by quietly reducing headcount — a "workforce optimization factor" that means fewer people on payroll next year.

We do not model it that way, because that is not what happens in practice with our clients. The assistant absorbs the repetitive, high-volume, after-hours calls. The people you already employ stop being interrupted every four minutes and start doing the work that actually needs a human. Your payroll line does not move in our calculator. If it moves in yours, that is your decision, not our sales pitch.

How to read the number

Treat it as a planning estimate, not a quote. It is directionally useful and specifically wrong — as any model with six inputs must be.

Two things move the result more than anything else:

Your missed-call rate. Most businesses underestimate this badly. If you have never measured it, the honest answer is probably higher than the number you just typed in. Check your carrier logs for calls outside opening hours before you trust your own guess.
How automatable your call mix genuinely is. A driving school booking a lesson is highly automatable. A specialist clinic triaging symptoms is not. If most of your calls are genuinely complex, the 60% containment assumption is too generous for you, and we will tell you that on the call rather than after the invoice.

Where this fits

The calculator supports our Voice Telephone AI Assistant work — an assistant that answers every call on the first ring, checks live calendar availability, books the appointment into the system you already use, and hands over to a person with full context when it hits something it should not handle alone. It speaks German, English, and Persian, switching to whatever the caller opens with.

Calls are processed on EU infrastructure with configurable retention. We bring the GDPR documentation to the first meeting rather than waiting to be asked.

Try it

Spend a minute with it: See Your AI Savings.

If the number looks too good, tell us — we would genuinely rather correct an assumption than win a project on a bad estimate. And if it looks worth pursuing, book a free discovery call and we will pressure-test it against your actual call logs.