Appointment scheduling · Production

Upfirst AI receptionist eliminates spam calls and restores legitimate client inquiries for Village Hypnotherapy

The problem

Jason Akel was flooded with spam calls after picking up local Google Voice numbers, forcing him to disable live answering entirely. In nine months, not a single legitimate client left a message, costing an estimated $10,000 a month in missed business.

First attempt

Jason's previous approach of managing calls via Google Voice collapsed when spam volume became unmanageable, effectively shutting down his ability to receive legitimate client calls.

Workflow diagram · grounded in source
1
Call forwarded to Upfirst
Trigger
Every incoming call is routed to Upfirst's AI receptionist after Jason forwarded his number.
▾ source quote
“he simply forwarded his number and fed Upfirst's AI receptionist everything it needed: his website, articles about his services, and answers to common questions”
2
Spam filtering
Ai action
Upfirst's spam filtering dropped nuisance calls from 100–200 per month to zero.
▾ source quote
“Upfirst's powerful spam filtering dropped nuisance calls from 100–200 per month to zero”
3
AI receptionist answers call
Ai action
The AI draws on Jason's own words to explain services, address concerns, and schedule consultations.
▾ source quote
“Upfirst's AI now answers every call, drawing on Jason's own words to explain services, address concerns, and even schedule consultations”
4
Upfront consultation delivered
Output
The AI handles a piece of the consultation without Jason needing to speak to the person live.
▾ source quote
“It does a piece of the consultation right up front without me even having to speak to the person live. Saves me a lot of time”
Reported outcome

Spam calls dropped from 100–200 per month to zero, Jason reclaimed hours each week, and legitimate client inquiries resumed with revenue bouncing back.

Reported metrics
Spam calls per month100–200 per month to zero
Estimated monthly revenue lost from missed calls$10,000 a month
Duration of zero legitimate client messagesnine months
Time reclaimed per weekhours of time each week
Show all 5 reported metrics
spam calls per month100–200 per month to zero
estimated monthly revenue lost from missed calls$10,000 a month
duration of zero legitimate client messagesnine months
time reclaimed per weekhours of time each week
revenue recoveryRevenue bounced back
Reported stack
Upfirst
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Source
https://upfirst.ai/customers/village-hypnotherapy
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Spam calls dropped from 100–200 per month to zero, Jason reclaimed hours each week, and legitimate client inquiries resumed with revenue bouncing back.

What tools did this team use?

Upfirst.

What results were reported?

Spam calls per month: 100–200 per month to zero; Estimated monthly revenue lost from missed calls: $10,000 a month; Duration of zero legitimate client messages: nine months; Time reclaimed per week: hours of time each week (source-reported, not independently verified).

What failed first in this deployment?

Jason's previous approach of managing calls via Google Voice collapsed when spam volume became unmanageable, effectively shutting down his ability to receive legitimate client calls.

How is this appointment scheduling AI workflow structured?

Call forwarded to Upfirst → Spam filtering → AI receptionist answers call → Upfront consultation delivered.

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