Every missed call is a job that just went to a competitor. Between jobs, on a roof, or elbow-deep under a sink, you cannot always pick up, and homeowners rarely leave a voicemail. We build the AI that texts back instantly, qualifies the lead, and gets it on your schedule before the caller dials the next name on the list.
Built around the trades, where the phone is the business.
You cannot answer every call while you are on a roof or under a sink. The trouble is what happens next: homeowners do not wait, and they do not leave voicemails. A mid-size shop leaks $300,000 or more a year this way, and most owners never see it on a spreadsheet.
Same trucks, same crew. The difference is that a missed call no longer means a missed job, on a Tuesday afternoon or at nine on a Saturday night.
A few of the highest-value places to start. Examples, not the limit of what we build.
Every missed call fires an AI text conversation that qualifies the job and books it, synced straight to your scheduling tool.
A web-form lead gets an AI text and email reply in under 90 seconds, before they move on to the next search result.
Every completed job triggers a Google review request at the right moment, no tech has to remember to ask.
Confirmation and reminder sequences before every visit, so a tech's afternoon does not get eaten by a no-show.
When a heat wave or cold snap doubles your call volume, an AI voice line picks up the overflow, sorts an emergency from a routine tune-up, and puts it straight on the dispatch board. True emergencies still ring your phone.
You are on a roof, or under a sink, and the phone rings. It goes unanswered, the way 20–30% of calls in this trade do. Instead of silence, the caller gets a text within seconds: a short, human-sounding message asking what they need and when. They reply, the system asks the follow-up questions your dispatcher would ask, and the job lands on your calendar. You find out about it on your next break, already booked.
The reply goes out within seconds of the missed call, while the caller is still deciding who to try next.
Nights, weekends, and the calls that spike when a heat wave or cold snap hits, all covered the same way.
Built to sync with the dispatch and scheduling tool you already run, not a new system to learn.
Figures are industry benchmarks from Ainora, ServiceTitan, and Avoca research on home-services call handling. Flowziv is building its trades case studies now; the above describes the industry pattern and the system we build, not a specific past client.
An assessment call, no pitch. We look at how your calls, leads, and bookings run today and show you the two to three highest-value places AI would save time or win back the jobs that slip through.