AI use cases: Plumbing

11 sourced examples. Filter by task on the main feed →

Automate a plumbing shop's back office with AI agents, but keep humans on big quotes

Jon O'Neill (@HouseHackerJon)

A plumbing company owner who also builds software for the trades listed the AI workflows running in his shop: email triage, job booking by text and email (he still doesn't trust voice agents), truck and warehouse restocking, fleet maintenance reminders, reviewing sold-job notes for missed opportunities, drafting quotes from tech notes and photos, job routing, review requests and missed-call texting. In replies he says job booking saves the most time, and that quotes over $5K, price negotiation and truck restock orders over $1K still go to a human.

Custom AI agentsX post (thread)X · Sep 2026

Let AI balance technician schedules across the board

Deep Dive Plumbing

Richard and Felicia Flournoy opened Deep Dive Plumbing in Cartersville, GA in June 2025 and added ServiceTitan's AI layer that September. After the AI started balancing technicians' schedules, techs worked 8% fewer hours while earning 20% more. Richard says $10,000 of revenue now takes a tech 30 hours instead of 55, and revenue per hour worked went from $180 to $325, with seven technicians in the first year.

ServiceTitanVendor success storyServiceTitan · Sep 2026

Let an AI receptionist take messages while you're under a sink

Frankie's Plumbing

Owner-operator Frank Galvin of Frankie's Plumbing in San Diego can't answer emergency calls mid-job, so Jobber's AI Receptionist picks up, takes the caller's details and leaves him a clear message to return between jobs. "The AI takes a message. It jots down the information very well... we're able to get their business, and we don't lose any money," he says. The case study also credits Jobber's quoting, scheduling and payment tools as the company grew from about $100K to an estimated $800K a year.

JobberVendor case study + videoJobber · Jun 2026

Let an AI voice agent book and dispatch a Sunday-night furnace call

Riley Plumbing Heating & Air

Owner Lawrence (Brook) Riley in Northern Nevada put AI voice agents and automated dispatch on his phones in 2025. On the Sunday before Christmas, with nobody working, the AI agent answered a no-heat call, scheduled it for the next morning and dispatched a tech, who closed a $1,060 ticket. Riley says his call-booking rate went from well under 50% to consistently over 80%, and ServiceTitan reports 19% revenue growth and a 170% increase in average deal size.

ServiceTitanVendor webinar recapServiceTitan · Apr 2026

Move AI from overflow to front-line call answering, step by step

High Ground Service Pros

High Ground (about 150 employees across NJ, NH and ME) started with AI only on overflow and after-hours calls in place of voicemail. It then moved AI to the front line one day a week, then two, then all five, with warm transfers to CSRs for escalations. The company reports AI now handles 75% of inbound calls, the abandon rate fell from 10% to 2%, AI books 81% of bookable calls, $250K-$300K a year in CSR costs were avoided without layoffs, and outbound SMS campaigns bring in $100K-$250K a month.

Hatch, ServiceTitanVendor case studyHatch · Dec 2025

Give plumbers ChatGPT on a tablet for proposals, invoices and troubleshooting

Oak Creek Plumbing & Remodeling

The roughly 20 plumbers at Oak Creek Plumbing & Remodeling near Milwaukee carry tablets with ChatGPT. They photograph a broken water heater or type up what they see, and use it to draft work proposals and invoices and to brainstorm fixes for tricky problems. President Dan Callies told CNN that even older techs have learned to ask it the right questions and that it has helped the company "lower our overhead and provide better services or better value."

ChatGPTNews articleCNN Business · Oct 2025

Answer every call 24/7 and score every CSR call with AI

Rescue Air & Plumbing

Rescue Air & Plumbing in Dallas-Fort Worth estimated that each missed call cost it about $250. It put an AI CSR on all inbound calls (pulling caller info, checking tech schedules and booking into the CRM) and uses an AI coaching tool that scores every call so CSRs get feedback on each one instead of a sample. The case study credits the coaching program with two agents being promoted.

AvocaVendor case studyAvoca

Centralize multi-location dispatch with AI auto-assignment

Del-Air

Florida's Del-Air (eight locations, 220+ technicians) put AI on dispatch first. Within three months it centralized dispatch at one office and went from 22 dispatchers to 10, with about 90% of call assignments now made automatically. It then made AI the first touch on all inbound calls: in May the AI handled 16,000 calls and resolved 74% of them without a person.

ProbookVendor case studyProbook

Recover missed-call revenue with an AI virtual agent

Brothers Plumbing, Heating & Electric

Brothers had call abandon rates near 30%, and callbacks could take 10+ hours. The team set up ServiceTitan's AI Virtual Agent around its real capacity, zones, technician skill sets and job types so it only books what the business can deliver. ServiceTitan reports 600+ jobs booked by the agent, $1.33M in attributed revenue and a 67% drop in the abandon rate (to about 5%). "Since November, we've recovered over a million dollars worth of revenue," says lead systems administrator Tyler Frydenlund.

ServiceTitanVendor case studyServiceTitan

Send overflow calls to an AI agent instead of a hold queue

My Plumber Plus

My Plumber Plus, a large residential plumbing and HVAC company (about $129M revenue and 356 employees per the case study), used to push overflow calls to a third-party service with long holds. It now routes overflow to Avoca's AI Responder, which picks up within seconds and books jobs. Avoca reports zero hold time for overflow callers, 1,000+ calls handled since launch, and a 17% higher booking rate than the old overflow process.

AvocaVendor case studyAvoca

Use AI for speed-to-lead and estimate follow-up, not just phones

HL Bowman

Pennsylvania HVAC and plumbing company HL Bowman had marketing generating more demand than the office could catch. It deployed four AI pieces together: 24/7 inbound call answering, instant replies to new web inquiries, outbound follow-up on missed calls and unconverted estimates, and automated scheduling. Avoca reports a 100% call answer rate, cost per conversion falling from $350 to $215, and 70% year-over-year revenue growth (which the vendor attributes to better capture and conversion across the funnel).

AvocaVendor case studyAvoca