Composite case study. "Ray's Air" is a representative profile based on ReceptionistAi customer-discovery data across similar shops. Numbers and outcomes reflect aggregate benchmarking, not a single individual.
Case study ยท HVAC

How a Dallas HVAC Shop Recovered $186K in 90 Days

They had the trucks, the techs, and the reputation. What they didn't have was anyone answering the phone at 11pm on a Saturday in August.

12 techsDallas-Fort Worth suburbs
18 yearsin business
2-week setupReceptionistAi configured and live

Ray's Air โ€” Dallas-Fort Worth

Ray started his HVAC company 18 years ago with a truck, a Craigslist ad, and a work ethic that still shows up at 6am. By 2025 his shop was running 12 techs across the Dallas suburbs โ€” residential installs, commercial service, the full stack.

The reputation was solid. Google reviews were good. He had a dispatcher during business hours and a voicemail after 6pm.

That voicemail box was quietly costing him hundreds of thousands of dollars a year.

The numbers before ReceptionistAi

Four metrics Ray was tracking on a spreadsheet โ€” and trying not to look at too often.

$340K
Revenue walking out the door annually โ€” missed after-hours calls at avg ticket value
70 hrs
Per week on the owner's plate โ€” owner was filling in as dispatcher, tech, and estimator
28%
Close rate on inbound estimates โ€” 72% of the people who asked for a quote never heard back
2/mo
Google reviews โ€” no automated review request, every review was hand-asked

Three things ReceptionistAi set up in weeks 1โ€“2

No ripping out the existing CRM. No retraining the dispatch team. Three configuration changes, live in 14 days.

1

After-hours emergency triage

ReceptionistAi answers every after-hours call within 5 seconds. It distinguishes a no-heat emergency from a routine service question โ€” and escalates true emergencies to Ray's on-call line immediately, while booking non-urgent jobs for morning.

Live within 48 hours
2

Quote follow-up cadence

Every estimate sent in the CRM triggers a 4-touch follow-up sequence: 24hr check-in, 5-day value recap, 10-day urgency nudge, 14-day last call. Each message is objection-aware, not a form letter.

Weeks 1โ€“2
3

Automated Google review request

Every job completion pushes a review request to the customer 4 hours later โ€” the right timing, the right message. No tech has to remember to ask. No owner has to chase it down in the evening.

Weeks 1โ€“2

90 days. Five numbers.

Tracked from the same spreadsheet Ray was dreading opening.

After-hours bookings
43/mo
Booked from after-hours calls
โ†‘ from near zero
Quote close rate
51%
Up from 28%
โ†‘ +23 pts
Google reviews
19/mo
Up from 2/month
โ†‘ 9.5ร—
Estimated recovered revenue
$186K
90-day period ยท after-hours bookings + close-rate lift + review organic
Based on actual job values from CRM
Owner phone time
70 โ†’ 14 hrs
Per week reclaimed
80% reduction
"

I was answering my own dispatch calls from the soccer field on Saturday mornings. I missed two big commercial jobs in one July weekend โ€” the kind that pay for a month. I didn't need more techs. I needed someone answering the phone when I couldn't. DeskPilot did exactly that. I think about it like hiring a front desk person who works 24/7 and never takes a sick day.

RR
Ray R. Owner, Ray's Air ยท Dallas-Fort Worth ยท 12 techs

* Composite case study. "Ray's Air" is a representative profile based on aggregate ReceptionistAi customer-discovery data across shops of similar size and market. Individual results vary.

How much would ReceptionistAi recover for your shop?

Three revenue streams, one calculator. Defaults are HVAC industry averages โ€” enter your actual numbers to see your model's output.

ACCA data: most shops 40โ€“80/mo
Service ticket avg โ€” adjust for your mix
From your CRM or estimate software
Industry avg: 25โ€“35% without follow-up

After-hours recovery
$17,500
per month
Close-rate lift
$5,460
per month
Review organic uplift
$1,400
per month
Modeled annual recovered revenue
$289,080
3-component sum ยท annualized from monthly inputs

Your shop. Your numbers. Let's run them together.

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