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
01Medical Clinic·Tampa, FL

Stopped losing patient calls overnight

Coastline Health Group

+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 peak season, a 3-person front desk missed 40+ patient calls per week. Estimated $80K/month walking to clinics that answered.

02

Solution

Deployed LyrAI Voice Agent on the main line with 24/7 coverage. The AI separates urgent from routine requests, books appointment windows into the practice calendar, and escalates urgent cases above a defined threshold.

03

Result

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

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

Marcus T.·Director, Coastline Health Group
02Legal·Denver, CO

Captured a $4,200 retainer at 2 AM

Ironside Legal Group

+42%
New-matter revenue
$4.2K
Single overnight case recovered
5s
Average answer time
+18%
Intake completeness
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 act on. High-value cases were being lost to firms with faster intake.

02

Solution

Replaced the answering service with LyrAI Voice Agent. The AI distinguishes urgent matters from general inquiries, captures case type, timelines, and contact details, then routes with full context directly into the CRM.

03

Result

Signed a $4,200 retainer at 2 AM in week one. Over 90 days, new-matter revenue grew 42%, average answer time dropped from 5 minutes to under 5 seconds, and intake completeness improved 18%.

"One overnight case paid for a full year of LyrAI. My team now opens files with the full story already in the CRM."

James K.·Managing Partner, Ironside Legal Group
03Real Estate·Minneapolis, MN

Doubled viewing bookings without hiring

Northline Realty

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

Problem

Two agents were spending 3+ hours/day on phone intake. Roughly 1 in 3 after-hours calls were lost. Inquiries arrived with incomplete information, slowing follow-up and offers.

02

Solution

LyrAI Voice Agent handles all intake calls, asks budget, timeline, and financing questions, flags high-intent buyers, and books viewings directly into the calendar. Agents only see qualified, fully-detailed leads.

03

Result

Viewing bookings doubled within 60 days. After-hours lost-call rate dropped from 33% to 0%. Agents reclaimed ~15 hours/week each, redirected entirely to client-facing work.

"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.·Broker, Northline Realty
04Professional Services·San Diego, CA

First-contact resolution jumped from 62% to 89%

Bayside Consulting Partners

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

Problem

Client requests reached the team without account, scope, or context data. Every follow-up round cost ~$180 in billable time. Client satisfaction was slipping due to rescheduled sessions.

02

Solution

LyrAI captures account, scope, priority, and context on every intake call, checks consultant availability against the live calendar, and only books the session once the right specialist is confirmed.

03

Result

First-contact resolution climbed from 62% to 89% in 45 days. Rework costs dropped ~$11,000/month. NPS climbed 22 points. Booking-to-delivery time shortened by 1.8 days on average.

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

Rachel S.·Partner, Bayside Consulting Partners

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