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Water Damage Restoration Co. — AI Dispatch Case Study

How a California restoration company went from missed after-hours calls to a 60-second AI dispatch that never sleeps, even at 2 AM on a Sunday.

Overview

Water Damage Restoration Co. was losing thousands of dollars a week in emergency calls they never picked up. With a rotating on-call tech and a shared voicemail box, leads that came in at 2am or during a job often went to competitors who answered first. Gain Rhino built a 24/7 AI dispatch dashboard that answers every call in under 60 seconds, qualifies the emergency, creates the job, assigns the right tech, and follows up with a 5-star review request, all in one timeline. The team now books more emergency jobs without scaling headcount or paying for a human answering service that still misses after-hours calls.

Research

We started by auditing call logs and response times across a 30-day window. The bottleneck wasn't lead volume. It was the gap between an incoming call and a human being available to answer. Restoration emergencies don't wait for business hours, and the team couldn't scale answering coverage without scaling payroll. We designed a system that handles the front of the call (qualification, urgency, location) and only escalates to a human when needed. We also mapped the existing dispatch workflow so the AI could plug into the techs' actual routines, not a parallel system that required them to learn a new tool in the middle of an emergency.

Result

Every inbound call now gets answered in under 60 seconds, 24/7. The AI qualifies the emergency, captures the address, creates the job in the CRM, and dispatches the closest available tech with ETA. If the tech doesn't confirm in 30 seconds, the next one is paged, and so on up the chain. After the job, the AI automatically requests a 5-star review, so good work translates into public reputation. The result: a meaningful lift in booked emergency jobs and a measurable drop in missed-call revenue, without adding a single person to the payroll.

By the numbers (first 90 days):

  • Average response timefrom roughly 14 minutes to under 60 seconds
  • Missed-call ratedown by an estimated 80%
  • Emergency jobs booked per monthsignificant lift, primarily from after-hours and weekend coverage
  • After-hours coveragefrom effectively 0% to 100%
  • 5-star reviews collected automaticallyincluded in every closed job

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