Is an AI receptionist worth it? How to measure the return

Whether an AI receptionist is worth it comes down to one comparison: what it earns against what it costs. The trick is measuring what it earns honestly.

Measure outcomes, not activity

Conversations handled and questions answered are activity. They don't pay for anything. What matters is the revenue from bookings and paid invoices that the front desk closed.

The three numbers to track

• Sales landed: the dollar value of bookings and paid invoices from the agent's conversations.
• Return on plan cost: sales landed divided by what you paid that month.
• Share of total sales: the percentage of all your sales that came through the front desk.

Set a baseline and a window

Know what your missed-call and after-hours losses look like before you start, then give it a full month or two, since results build as more customers find it. Compare like with like: the same months, the same hours.

Estimate your baseline with the missed-call revenue calculator.

Common ways people mismeasure it

• Counting conversations as wins, when only bookings and paid invoices are revenue.
• Ignoring seasonality, so a busy month looks like AI-driven growth.
• Forgetting the other side of the ledger: time your team gets back.
• Judging after a few days, before the front desk has seen your normal mix of customers.

What a good answer looks like

A worthwhile front desk shows sales landed comfortably above its cost, in dollars you can trace back to real conversations. If it can't show that, it's not earning its place.

See how Viravance measures ROI.

Common questions