How to Calculate the ROI of an AI Receptionist (with example)

# How to Calculate the ROI of an AI Receptionist (with example) If you're evaluating an AI receptionist, the right question isn't "is it innovative?", but **what does it return (or save) every month**. In this article you'll find: - the KPIs to track - a simple ROI formula - a conservative example - how to validate ROI in 14 days ## 1) Where ROI comes from (4 levers) An AI receptionist typically creates ROI through: - **Recovered calls**: fewer missed calls -> more bookings - **After-hours bookings**: requests often arrive during lunch breaks or in the evening - **Team time saved**: fewer interruptions, callbacks, and manual calendar work - **Fewer no-shows and late cancellations**: better reminders and clearer policies ## 2) The ROI (and payback) formula - `ROI = (Benefits - Costs) / Costs` - `Payback (months) = Costs / monthly benefits` Practical tip: run two scenarios. - **Conservative**: assume only 30-40% of the expected benefits - **Realistic**: assume 50-70% ## 3) Track a 7-day baseline Before turning on AI, track for 7 days: - total calls - missed calls (%) - after-hours requests - call -> booking conversion (%) - average call duration - no-show rate (%) Simple data is enough: phone logs + calendar. ## 4) Estimate monthly benefits ### A) Revenue recovered from missed calls `Benefit_A = missed_calls_month * conversion_rate * avg_booking_value` Example: 80 missed calls/month * 50% * CHF 120 = **CHF 4,800** ### B) Costs avoided (staff time) `Benefit_B = hours_saved_month * hourly_cost` Example: 15 hours/month * CHF 35 = **CHF 525** ### C) No-show reduction (optional, conservative) `Benefit_C = no_shows_month * avg_booking_value * no_show_reduction` Example: 20 no-shows/month * CHF 120 * 10% = **CHF 240** `Total benefits = A + B + C` ## 5) Count all costs (no surprises) - platform monthly fee - phone number/forwarding (if applicable) - setup (one-off) - internal time (1-2 hours to align FAQ and policies) ## 6) Full example (Swiss SMB) Conservative assumptions: - missed calls: 3/day -> ~66/month (22 business days) - conversion: 45% - average booking value: CHF 120 - hours saved: 10 hours/month - hourly cost: CHF 35 - no-show: excluded (conservative) - AI cost: CHF 299/month Calculations: - A = 66 * 0.45 * 120 = **CHF 3,564** - B = 10 * 35 = **CHF 350** - Benefits = **CHF 3,914** - ROI = (3914 - 299) / 299 = 12.09 -> **1209%** - Payback = 299 / 3914 = 0.076 months -> **~2-3 days** If that feels too optimistic, re-run with: - 25% conversion - CHF 80 average value - 2 missed calls/day ROI often stays positive. ## 7) Validate in 14 days (no guesswork) 1. Route a dedicated number (or forwarding) to the assistant 2. Define 3 goals: (a) reduce missed calls, (b) increase after-hours bookings, (c) reduce team time 3. Tag bookings coming from AI in your calendar 4. Review 10 conversations and adjust FAQ/policies 5. After 14 days, compare KPIs vs baseline ## Quick checklist - [ ] 7-day baseline measured - [ ] average booking value estimated - [ ] realistic conversion rate set - [ ] all costs included (plus internal time) - [ ] conservative + realistic scenarios prepared ## Want to calculate ROI for your business? Try AIAgens and measure KPIs together: in 14 days you'll have numbers, not opinions.