AI for contractors: Lead Follow-up

10 sourced examples. Filter by trade on the main feed →

Have an AI agent book sales appointments from calls nobody answered

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.

AI voice agent (unnamed)X post (reply)X · Oct 2026

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

Follow up viewed-but-unsigned solar proposals automatically

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.

Pipereply (Solar AI-Q)Vendor case studyPipereply · Jul 2026

Run AI-powered rehash campaigns on unsold roofing estimates

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.

Hatch, Improveit360Vendor case studyHatch · Mar 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

Make Meta ads with AI avatars instead of video shoots

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.

GoHighLevel, JobNimbusArticle / interviewContractor Marketing Pros · Dec 2025

Automate speed-to-lead and estimate follow-up from CRM data

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%.

Hatch, AccuLynxVendor case studyHatch · Dec 2024

Consolidate four front-office vendors into one AI system

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.

AvocaVendor case studyAvoca

Replace door knocking with instant online roof quotes as a lead magnet

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.

RoofleVendor case studyRoofle

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