Our Work

Case Studies

A look at how we can deploy AI inside your business 

Racquet SportsRacquet Sports

Racquet Sports

24/7 Court Booking Voice Agent

A padel studio was losing bookings during peak hours because staff were on court and the phone went unanswered. We deployed a voice agent that takes calls, checks live court availability, books and reschedules, manages the cancellation waitlist, and pushes every confirmation into their booking system and CRM.

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FitnessFitness

Fitness

AI Front Desk for High-Volume Call Traffic

A multi-location gym was routing every membership question, cancellation, class booking, and guest pass request through front desk staff who were also checking members in. We deployed a voice receptionist that handles routine inquiries end to end, answers in one ring at any hour, and escalates only sales and billing disputes to a human.

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Membership RetentionMembership Retention

Membership Retention

Predictive Churn & Automated Win-Back

Cancellations were only visible once a member had already called to quit. We built a scoring model on visit frequency, class attendance, billing history, and app engagement that flags at-risk members weeks before they churn, then auto-drafts a personalized retention message with a tiered offer. Staff approve or edit before anything sends.

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Home ServicesHome Services

Home Services

After-Hours Emergency Triage & Dispatch

Burst pipes and dead furnaces don't happen at 10am. Calls outside business hours were going to voicemail, and homeowners were calling the next company on the list. We deployed a voice agent that answers every after-hours call, triages the job by severity using the company's own criteria, quotes the emergency dispatch fee, books the slot, and texts the on-call tech with the address and problem summary.

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Home ServicesHome Services

Home Services

Unsold Estimate Recovery Engine

The company had thousands of quoted jobs that were never followed up on, and no one had time to work the backlog. We built a system that pulls every open estimate, ranks it by close probability and margin, and writes a follow-up referencing the specific scope, the quoted price, and how long the quote has been outstanding. A tech or CSR approves each message before it sends.

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Home ServicesHome Services

Home Services

Field-to-Invoice Documentation

Techs were writing job notes in the truck at the end of the day, invoices went out two to four days late, and review requests were inconsistent. We built a mobile flow where the tech dictates 30 seconds of voice notes on site. AI produces a customer-facing job summary, a line-item invoice mapped to their price book, and a review request timed to send after the customer reads the summary.

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