Worked Examples: The Math, Not the Marketing
Two modeled deployments built on real BLS wage data and our actual platform costs. No fake testimonials — just math you can check. Your business becomes the named case study.
CASE STUDY 00 — THE ONE YOU CAN VERIFY RIGHT NOW
AIMasterTools — Charlotte, NC
The problem: an AI staffing agency that missed calls would be a punchline.
What we built: Ava — the same AI front desk we place with clients — answering our main line. Every call, every hour, including the one you are about to make.
Her salary: what our clients pay. $497 a month. No sick days, no notice, no bad Mondays.
(704) 741-3141 — interrupt her. Talk over her. Ask her something weird. This is the only case study on the internet you can call.
WORKED EXAMPLE 01
The HVAC Scenario — 12-Employee Shop
The Problem
The team was losing 15–20 inbound calls per week to voicemail — nights, weekends, and every time the office got slammed. In HVAC, an unanswered call is a job that goes to the next company on Google. At their average ticket, that was thousands in lost revenue every month.
What We Built
An AI front desk: answers every call 24/7, qualifies the lead, books the appointment directly into their scheduling system, routes true emergencies to the on-call tech, and texts a summary of every call to the owner.
The Numbers
WAS PAYING
$38,000–$52,000/yr receptionist
NOW PAYS
$1,500 placement + $497/mo
PAYBACK PERIOD
Under 3 weeks
FIRST-YEAR SAVINGS
~$30,000+
“Every call answered — nights, weekends, and when the office gets slammed. The owner gets a text summary of every call, and true emergencies still reach the on-call tech.”
Modeled on the economics of a 12-employee HVAC shop
WORKED EXAMPLE 02
The Roofing Scenario — 4-Crew Operation
The Problem
Their $52,000/year office manager quit with two weeks’ notice. Scheduling, confirmations, and invoicing all ran through her. The standard play — hire, train, hope — takes 3+ months and starts the clock on the next resignation.
What We Built
An AI office manager: crew scheduling with automatic customer confirmations, invoicing triggered on job completion, payment tracking with follow-ups, and a morning report to the owner. Deployed in under two weeks — before her last day.
The Numbers
WAS PAYING
$52,000/yr office manager
NOW PAYS
$2,500 placement + $597/mo
TIME TO DEPLOY
Under 2 weeks
FIRST-YEAR SAVINGS
~$42,000
“Scheduling, confirmations, invoicing, and payment follow-ups keep running with no salary attached — and the owner reclaims his evenings.”
Modeled on the economics of a 4-crew roofing company
How We Count the Savings
Salary of the role — we do not even count benefits, payroll tax, training, or turnover, so real savings run higher — minus the total first-year cost of the AI system: setup fee plus twelve months of maintenance. No projections. No “productivity gains” fluff. That is the number.
Straight talk: these are worked examples at our published pricing — not testimonials from named clients. We are taking a limited number of discounted pilot engagements in exchange for becoming a named, verifiable case study on this page. If you want the pilot pricing, say so on your audit call.
We Are Buying Our Next Case Study — With a Discount, Not With Fiction
We want this page full of named companies whose owners pick up the phone when a skeptic calls to check. So pilot clients pay $0 upfront — per-booked-appointment pricing only — plus discounted ongoing rates, in exchange for publishing their real numbers under their real name. If your numbers are good, everyone wins. If they are not, we do not publish them, and you paid only for appointments you actually got.