Sets sensible defaults for the inputs below.
Headcount that actually delivers the service (dentists, stylists, technicians, attorneys, trainers).
Model default: 3-6 typicalHours actually open for client work. Net of admin time, breaks, internal meetings.
Model default: 30-38 hrsAverage length of one booked appointment, door to door. Include cleanup / transition time.
Model default: 45-75 min% of confirmed appointments that don't actually show up. Use your own booking history.
Model default: 10-15%Average revenue per completed appointment. Use blended average across service mix.
Model default: $200-300Total appointments booked into your calendar this month. This drives utilization, revenue, and headroom math.
Model default: ~70% of maxWhat happens next
You just found the empty slots. Now meet the agent that fills them.
Nirvani installs AI employees that answer every call, text back every missed one and book the work straight into your calendar. Everything below is free and live today.
Day or night, no hold music. Ask it anything a customer would ask you. That voice is the one we configure for your business.
Call the agent 02Fifteen minutes Leave with one free AI agent.An intro meeting with a principal. We map how leads reach you today, then configure one agent for how you actually operate. Pledge 1% give-back, no card.
Book the intro 03The playbook The Leak ReportWhere revenue quietly disappears: missed calls, slow response, dropped follow-up and no-shows, with a deploy playbook for six industries.
Read itKeep this run
Email me these exact numbers.
Every input and result you set above, sent to your inbox with a reference number, plus one confirmation text. No drip sequence: your run lands with a principal, not in a funnel.
Your numbers are in your inbox.
Check spam once if it is not there within a minute. Want the agent that changes them? The intro meeting below already has your details filled in.
Claim the Free AI AgentHow this calculator works
How do you compute max monthly bookings?
(hoursPerWeek x 4.33 x 60 / apptMins) x providers. That gives you total deliverable
slots per month assuming everyone shows up. Real-world capacity is lower because of no-shows, which
we track separately.Why does utilization matter more than raw booking count?
Why does the model assume the AI booking agent fills 40% of open slots?
Does the no-show rate include cancellations?
What if my appointment length varies a lot (some 30 min, some 2 hr)?
(0.6 x 45) + (0.4 x 90) = 63 min. For maximum accuracy, run this calculator twice (once
per service type) and add the results. For most operators, the weighted average is close enough to
drive the right decisions.