Case Studies

Real deployments. Measured results.

Every case study below follows the same structure: the operational problem, the LyrAI solution we deployed, and the measured result, in dollars, hours, and conversion. No vanity metrics.

$48K+
Monthly recovered revenue
2.4×
Average booking lift
<5s
Answer time across deployments
100%
24/7 call coverage
01HVAC·Tampa, FL

Stopped losing emergency calls overnight

Coastline Heating & Cooling

+35%
Booked appointments
$10K
Recovered in month one
94%
After-hours capture rate
<1 ring
Average answer time
01

Problem

After 6pm, calls rolled to voicemail. During the summer heatwave, a 3-person dispatch team missed 40+ emergency calls per week. Estimated $80K/month walking to competitors who answered.

02

Solution

Deployed LyrAI Voice Agent on the main line with 24/7 coverage. AI qualifies emergency vs. routine, books service windows into ServiceTitan, and pages the on-call tech for no-cool calls above a defined urgency threshold.

03

Result

Within 30 days, after-hours capture rate went from 0% to 94%. Booked jobs increased 35%, and recovered roughly $10,000 in the first month from previously missed emergency calls alone.

"We were leaving money on the table every single night. LyrAI paid for itself in the first week of the heatwave."

Marcus T.·Owner, Coastline Heating & Cooling
02Plumbing·Denver, CO

Captured a $4,200 sewer job at 2 AM

Ironside Plumbing Co.

+42%
Emergency revenue
$4.2K
Single overnight job recovered
5s
Average answer time
+18%
First-visit fix rate
01

Problem

After-hours calls routed to a third-party answering service that took 4–6 minutes to pick up and rarely captured enough detail to dispatch. High-ticket emergency jobs were being lost to competitors with faster intake.

02

Solution

Replaced the answering service with LyrAI Voice Agent. The AI distinguishes emergency vs. quote requests, captures property type, access details, and symptoms, then dispatches with full job context directly into the CRM.

03

Result

Booked a $4,200 sewer emergency at 2 AM in week one. Over 90 days, emergency revenue grew 42%, average answer time dropped from 5 minutes to under 5 seconds, and tech first-visit fix rate improved 18%.

"One overnight sewer job paid for a full year of LyrAI. My techs now show up with the full story already in the CRM."

James K.·Owner, Ironside Plumbing Co.
03Electrical·Minneapolis, MN

Doubled estimate bookings without hiring

Northline Electric

Estimate bookings
0%
After-hours lost calls
30 hrs
Reclaimed weekly
+$28K
Monthly billable lift
01

Problem

Two estimators were spending 3+ hours/day on phone intake. Roughly 1 in 3 after-hours calls were lost. Panel-upgrade and service-call requests were arriving with incomplete information, slowing quotes.

02

Solution

LyrAI Voice Agent handles all intake calls, asks panel, permit, and load questions, flags safety-critical issues, and books estimates directly into the calendar. Estimators only see qualified, fully-detailed jobs.

03

Result

Estimate bookings doubled within 60 days. After-hours lost-call rate dropped from 33% to 0%. Estimators reclaimed ~15 hours/week each, redirected entirely to billable site visits.

"We doubled bookings without adding a single seat. The AI asks better questions on a Tuesday at 11pm than I do on a busy Monday morning."

Ahmed H.·Master Electrician, Northline Electric
04Appliance Repair·San Diego, CA

First-visit fix rate jumped from 62% to 89%

Bayside Appliance Service

89%
First-visit fix rate
$11K
Monthly cost saved
+22
NPS improvement
-1.8 days
Time to completion
01

Problem

Techs were rolling trucks without correct brand, model, or symptom data. Second visits cost ~$180 in labor and parts logistics each. Customer satisfaction was dropping due to rescheduled appointments.

02

Solution

LyrAI captures brand, model, serial, and symptom on every intake call, checks parts availability against live inventory, and only books the service window once the correct part is confirmed in stock.

03

Result

First-visit fix rate climbed from 62% to 89% in 45 days. Repeat-visit costs dropped ~$11,000/month. NPS climbed 22 points. Booking-to-completed-job time shortened by 1.8 days on average.

"The AI gets the right info every time. Our techs stopped guessing, and our customers stopped waiting."

Rachel S.·Owner, Bayside Appliance Service

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