Roofing · Solar · HVAC · Plumbing · Electrical · Remodeling · GC
A curated feed of real, sourced examples: quoting, lead follow-up, job costing, dispatch, marketing, AI receptionists, permits and safety. Each one links to the original post, article, video or case study.
Mervin Wickey (roofing company owner)
A roofing company owner posted that the after-hours and busy-line gap is where service businesses lose jobs, and that in his own roofing company an AI agent booked 26 sales appointments in the previous 30 days from calls no one on the team answered. He didn't name the tool.
Lake Stevens Pete (owner of an HVAC company and other businesses)
An owner of several small businesses, including an HVAC company, counted 27 active AI agents and 36 routines (26 on a schedule) in use across his companies. They pull statements, file invoices, update sales and cost sheets, flag overdue maintenance and track renewal dates. His rules: only three emails ever send on their own, everything else is a draft he approves, and nothing posts publicly or pays a bill without his yes. He keeps an inventory of all agents, which caught a failed reminder and two routines doing the same job.
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.
Haskell
On its own Jacksonville HQ renovation, design-builder Haskell posted QR codes around the jobsite so workers and trade partners could ask an AI agent about specs, submittals and drawings and get answers with links to the source documents. Assistant PMs also use a templated agent that compares a trade partner's submittal to the spec and lays out variances in a side-by-side table. Haskell estimates it saves about 10 minutes per field question and more than an hour per submittal review.
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.
Bojen Electrical
UK contractor Bojen Electrical uploads tender drawings and builds its takeoff with automatic symbol recognition, keeping a permanent, editable count list for each job. The estimator says that working through the drawings this way also gives him a clearer picture of how the job will actually run. He priced a roughly £2.5 million lighting refurbishment of an Oxford research building entirely in the tool, splitting each floor into zones.
G-Solar
Australian solar and battery installer G-Solar was losing after-hours leads and letting sent quotes go cold. Its integrator connected the proposal tool, CRM and job-management system, then added AI agents that answer new enquiries by voice and text 24/7 and text follow-ups when a proposal is viewed but not signed, drawing on transcripts of earlier calls. The vendor reports roughly 40-50% less admin work and roughly 20-30% sales growth within about six months, and says results vary by business.
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.
Turner Construction
Turner's SafeT Coach answers plain-language safety questions using Turner's own EH&S standards and reviews uploaded jobsite photos to flag likely hazards, rank the risk and suggest controls. One superintendent used it to work out whether a vertical shaft counted as a permit-required confined space and got a decision flow chart, a daily permit checklist and policy citations within minutes. The tool has logged 25,000+ interactions, and Turner made it free for the whole industry in May 2026.
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.
Bone Dry Roofing
Bone Dry Roofing (a $200M family of roofing and solar brands in 9 states) moved all outreach onto one AI communications platform: instant speed-to-lead across 11+ lead sources, missed-call follow-up, estimate follow-up, aged-lead nurture and customer care. A four-person team runs the same playbook across 17 instances. Hatch reports the appointment booking rate rose from 27% to the mid-to-high 60s and that rehash and follow-up campaigns closed more than $7M in a year.
Sustainable 9 Design + Build
Minneapolis custom builder Sustainable 9 runs open-book, cost-plus projects up to $6M+ and used to build every draw in a giant spreadsheet. It now pulls costs automatically from bank feeds, vendor emails and field receipt photos into an AI construction-accounting tool, codes each one to job and cost code with approvals, and generates client-ready draw packages. The builder reports billing went from 80+ hours a month to about 2 hours per cycle and that it recovered thousands in receipts that used to go unbilled.
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.
Leakbusters Roofing
Owner Richie Kleti's team built a custom GPT, tied to historical job data and manufacturer specs, that turns a short voice prompt into an itemized, code-compliant Florida repair estimate. New hires can produce accurate estimates without waiting for senior staff to price every job. The team also uses an AI sales coach in role-play "sales cage match" sessions, where reps are mic'd up and get feedback on tone, objection handling and what to do better.
Leakbusters Roofing
After expensive agency campaigns flopped, Leakbusters built its own Facebook/Instagram ads with AI avatars and digital influencers. Ads that used to take about four hours and $2,500 to shoot now take minutes, and the team split-tests avatars to find which ones get responses. According to the article, the company generated nearly $150,000 in sales from AI-driven ads in recent months, and it tracks every lead from ad to finished job by connecting its GoHighLevel CRM with JobNimbus.
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."
Shrock
Shrock grew from a family Amish construction business into several entities (custom homes, restoration, prefab), and manual AP and credit-card entry kept coding costs to the wrong job or cost code. It automated AP and card entry with structured approvals and real-time job costing across entities. The controller reports bookkeeping fell from 26-30 hours a month to 12-16 per entity, with job-cost reports leadership can now trust.
Mpower Solar
New York City installer Mpower Solar uses AI-assisted design to build proposals for tricky canopy and tilt-mounted rooftops and adjust them live in meetings. Aurora reports proposal creation went from about 30 minutes to under 10, the change-order rate dropped from 50% to under 10%, and site surveys went from 2 hours to 30-60 minutes. The case study also says consistent design documentation led to fewer questions on submissions to state agencies and utilities.
Intermountain Electric
Intermountain Electric's estimators run drawings through AI for first-pass lighting, power and receptacle counts, branch routing, panel and lighting schedules, and drawing stitching, then review and correct it before anything goes into the estimating system. The case study says one high-volume takeoff that used to take several 15-hour days was done in a few hours, and that the AI gets branch measurements about 95% of the way before human QA.
Gulfshore Air Conditioning & Heating
During a heat wave, a Gulfshore Air (Niceville, FL) customer with a freezing unit called and reached "Finn," the company's AI virtual agent. Finn booked same-day service based on real-time capacity, the job was tagged as a Google LSA lead with a membership opportunity, AI dispatch picked a tech by skills and predicted job value, and the tech sold a $1,185 job. Gulfshore reports $370,000 in added revenue over 30 days from automated marketing campaigns and a $150 higher average ticket. CNN separately reported that its techs use AI to pull up technical info instead of digging through 60-page manuals.
New Day Solar
New Day Solar's reps use Aurora AI to generate roof models and system designs in seconds, sometimes live on a customer call, so the conversation keeps moving. Aurora reports sales design time fell from about 30 minutes to about 30 seconds, complex proposals went from a day or more to under an hour, close rates rose 15%, and cleaner designs saved up to six hours of rework per project.
Skanska USA Building
Skanska USA built an internal "Safety Sidekick" on generative AI trained on its own safety data and jobsite conditions. Field staff use it on mobile or desktop to plan toolbox talks and morning huddles, ask safety questions, and ask about photos of the day's site conditions. Early users report less time spent preparing safety briefings and better jobsite engagement. Skanska's advice to smaller contractors: start with data you already have, or use an off-the-shelf tool rather than building your own.
Sunnova
US residential solar company Sunnova built OpenSolar's AI design engine into Catalyst, the app its authorized dealers use to sell systems. Sunnova SVP Jake Wachman told PV Tech that AI took design turnaround from about 15 minutes at best to 30 seconds, removed the back-and-forth with a central design team, and often catches trees, pipes and vents a salesperson might miss. He said many AI designs go from proposal to the field without changes, but a human still reviews each one in the proposal process. Context: Sunnova filed for Chapter 11 bankruptcy in June 2025, and Solaris acquired its assets and operations that September.
Jimmy McKinney (remodeler)
Remodeler Jimmy McKinney subscribed to OpenAI's service and trained his own version of ChatGPT on his company's past scopes of work for kitchen and bath projects. He gives it a written or spoken prompt about a new job and gets a draft SOW quickly, built on his own templates. Qualified Remodeler's editor says this one shortcut is already making the company more efficient.
Brown Roofing
Connecticut roofer Brown Roofing connected an AI texting and follow-up platform to its lead sources and AccuLynx CRM to run speed-to-lead, post-appointment estimate follow-up, long-term nurture of aged leads, and cross-sell campaigns to past customers. Follow-up that used to be "ad hoc and inconsistent" is now standardized and trackable. The case study reports the year-to-date conversion rate rose from the low 70s to 86%.
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.
WTC Electric
Family-owned WTC Electric in Charlotte, NC faced rising bid volume, driven partly by data-center demand, and couldn't find another estimator. It moved takeoffs to AI device detection and automated branch routing, with the vendor's human concierge team handling peaks and poor-quality drawing sets. Drawer AI reports a 70% reduction in takeoff time on large projects and device detection accuracy above 95%.
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.
Brody Pennell Heating & Air
Los Angeles HVAC company Brody Pennell (200+ employees) replaced four separate front-office vendors in 2025 with one AI platform covering voice, web chat and scheduling, speed-to-lead on social leads, outbound text/direct-mail campaigns, estimate follow-ups and membership renewals. According to Avoca, the booking rate rose from 65-70% to 90%, Facebook/Meta lead conversion went from about 15% to 25%, and the call-center manager got back roughly three hours a day of manual call review.
Simply Solar
Simply Solar's salespeople use Aurora AI to auto-generate the 3D roof model and first design. According to the case study, design time for sales went from 15 minutes to 15 seconds, experienced designers went from 3-5 minutes to 15 seconds for an initial design, and one designer can now handle the work of two to three people during peak periods.
Trevor Young (remodeler, JobTread user)
Remodeler Trevor Young uses ChatGPT to write pricing formulas inside JobTread, such as one for pricing dirt haul-off. He first had to teach it how JobTread's formula logic differs from Excel. Now he gives it the context, parameters and output he needs, and it returns formulas that fit his setup, saving hours of spreadsheet work. The video's advice: always double-check the math.
Remodelers in the JobTread community
A remodeler named Jim photographed a client's house and had ChatGPT produce a concept image of it with a new front porch, which took about a minute and helped move the client toward a design agreement. Others use it to straighten room photos and remove clutter. The video warns that AI images can change details such as logos or move objects, so they're for early concept conversations, not portfolio shots or final designs.
Freedom Forever
Freedom Forever, which handles about 5,000 residential solar permits a month, built AI agents to read and act on the flood of utility and municipal permit emails (inspection notices, payment requirements, correction requests, approvals). The agent processed about 19,000 permit emails in its first month and fully handled about 71% without a human, at $0.20-$0.35 per run. A backfill turned up emails that had sat unprocessed for an average of three weeks, which got stalled projects moving again. A second agent validates uploaded utility bills, including photos of paper bills.
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.
Aire Serv of Sevierville
The Aire Serv HVAC franchise in Sevierville, TN swapped its third-party live answering service for Avoca's AI on after-hours calls. The AI follows the brand's call standards, books jobs directly and offers maintenance/subscription plans when relevant. Avoca reports after-hours bookings went from 58 to 208 over the comparison period (a 90% after-hours booking rate) and that 41% of eligible callers signed up for a plan.
TrueWorks Roofing
After 5.5 years of generating work by door knocking, Houston's TrueWorks Roofing added Roofle's RoofQuote PRO to its website in September 2023, so homeowners can get an instant quote based on aerial measurements of their own roof (Roofle says its instant measurements are AI-enhanced). Owner Joel Patzke uses it mainly as a lead magnet and to forecast cash flow. Roofle's case study reports 15 to 20 extra leads a month, a few more closed jobs a month from those leads (the page says both 2 to 4 and 2 to 5), and revenue rising from $2.9M to $4.3M, while noting Houston storms also played a role. These are vendor-reported figures that haven't been independently audited.
RL Electric
At RL Electric, the person who prepares proposals used to count symbols by hand with PDF markup tools across dozens of sheets per bid, where one missed symbol could throw off the price. The team switched to AI symbol recognition and counting directly on the electrical plans, then verifies and adjusts the counts. Less repetitive counting left more time for bid strategy.
Mr. Roofing
San Francisco Bay Area roofer Mr. Roofing records in-home sales presentations and uses AI analysis to coach reps and check them against its 30-year sales script, without a manager riding along. The recordings settle "what was promised" disputes and give new hires reference material. Rilla reports 40% fewer physical ride-alongs, larger average tickets, more mentions of financing and a rep talk rate that dropped from 85% to 65%.
KHB Construction
High-ticket remodeler KHB Construction (jobs typically $200K-$1.5M) records client sales meetings so reps can go back and check exactly what material or color a client asked for, which heads off scope disputes weeks later. Managers use the recordings and AI metrics to coach without going on ride-alongs. One rep's close rate went from about 17% to 25% in under a year, and the CEO says the company's success rate is up 10%.
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.
Rudolf Fritz GmbH
German electrical contractor Rudolf Fritz (about 650 employees) uses automated quantity takeoff from PDF plans for bids. In the first five months after its March 2026 rollout, it processed 364 plans across 18 projects, detecting 71,073 elements and measuring 85 km of cable tray. Takeoffs now take hours instead of weeks, and the team says it can price more inquiries instead of passing on projects for lack of capacity.
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).
Tesson Roofing & Exteriors
Brett Tesson of Tesson Roofing & Exteriors in St. Louis uses EagleView Assess, an autonomous roof-inspection drone whose software uses AI to flag hail and wind damage and generates automated reports with measurements and 3D models. In a testimonial on EagleView's site, Tesson says the company had a $500,000 roof claim denied, and that after flying the Assess drone and giving the insurer the report, which proved what they were saying, the insurance company paid for the roof. The account is vendor-published; the claim details haven't been independently verified.
No use cases match those filters yet. Know one? Submit it.