Case Studies

Results, not demos.

Illustrative engagements showing how our AI systems perform in production. All examples below use placeholder data pending client publication approval.

Med Spa

Med spa fills 31% more consultation slots with AI booking

A multi-location med spa replaced voicemail with an AI concierge that answers every inquiry, qualifies treatment interest, and books consultations directly into the calendar.

The problem

High-value consultation leads were calling after hours or during treatments and reaching voicemail. Most never called back — they booked with the next med spa on the list.

The solution

We deployed an AI voice and chat concierge trained on their treatment menu, pricing tiers, and pre-consultation requirements. It answers 24/7, qualifies interest, books consultations, and triggers reminder and no-show recovery sequences.

We stopped losing evening inquiries entirely. The calendar fills itself now — our front desk finally focuses on the clients in the room.

Operations Director, Multi-location Med Spa (placeholder)

+31%

consultation bookings

100%

of calls answered

-44%

no-show rate

Dental Clinic

Dental clinic recovers $38k/quarter from missed calls

A two-chair dental practice turned missed calls into booked patients with instant text-back, automated scheduling, and waitlist gap-filling.

The problem

During peak hours the front desk physically couldn't answer every call. Each missed new-patient call represented thousands in lifetime value walking to a competitor.

The solution

Every missed call now triggers an instant SMS conversation that answers questions, checks insurance basics, and books directly into open slots. Cancellations automatically offer slots to the waitlist.

The missed-call text-back alone paid for the entire system in the first month.

Practice Owner, Dental Clinic (placeholder)

$38k

recovered revenue per quarter

22%

of missed calls converted to bookings

-35%

schedule gaps

Law Firm

Law firm doubles qualified consultations with AI intake

A personal injury firm automated its intake pipeline — from first contact to conflict check to signed engagement — cutting response time from hours to seconds.

The problem

Inquiries arrived around the clock, but intake staff worked 9-to-5. Response times averaged four hours, and paralegals spent mornings on unqualified consultations.

The solution

An AI intake agent now screens every inquiry immediately — matter type, jurisdiction, timeline, and case merit signals — then books qualified prospects with the right attorney and initiates document collection.

Our attorneys walk into consultations with a complete, structured file. That used to take two days of back-and-forth.

Managing Partner, Personal Injury Firm (placeholder)

2.1x

qualified consultations

<60s

average first response

-70%

intake admin hours

Real Estate

Brokerage lifts lead-to-showing rate 47% with instant response

A 40-agent brokerage deployed AI lead qualification across portal, web, and SMS channels — responding to every lead in under a minute, day or night.

The problem

Portal leads were distributed to agents who responded anywhere from ten minutes to two days later. By then, most buyers had already spoken to another agent.

The solution

AI agents now engage every lead within seconds, qualify budget, financing, and timeline, and book showings directly onto agent calendars. Unready leads flow into long-term nurture until they're active.

Speed-to-lead was our biggest leak. Now we're first to respond on every single inquiry.

Broker/Owner, Residential Brokerage (placeholder)

+47%

lead-to-showing rate

24/7

response coverage

3,200

leads nurtured automatically

E-commerce

E-commerce brand deflects 72% of tickets while CSAT rises

A DTC brand scaled from 800 to 3,000 orders/day without adding support headcount by deploying AI agents for order status, returns, and product questions.

The problem

Support volume scaled linearly with orders. WISMO tickets dominated the queue, response times stretched past 24 hours, and hiring couldn't keep up with growth.

The solution

AI support agents integrated with their order management and returns systems now resolve routine tickets instantly and hand complex cases to humans with full context summaries.

We 4x'd order volume and our support queue got shorter. I still don't fully believe it.

Head of CX, DTC Brand (placeholder)

72%

tickets resolved by AI

+18pts

CSAT improvement

$0

added support headcount cost

Home Services

HVAC company books 3x more after-hours emergency jobs

A regional HVAC company automated call capture, urgency triage, and dispatch — capturing emergency revenue that previously went to voicemail.

The problem

After-hours emergency calls hit an answering service that took messages for the morning. Customers with no heat at 10pm didn't wait — they called the next company.

The solution

An AI voice agent now answers instantly, triages urgency, quotes service windows, creates jobs in their field-service platform, and dispatches on-call technicians with full job context.

Emergency calls are our highest-margin work. We were sending them to voicemail. Not anymore.

General Manager, Regional HVAC Company (placeholder)

3x

after-hours jobs booked

-8min

average dispatch time

+$21k

monthly emergency revenue

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