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
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
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.
Aurora SolarVendor case studyAurora Solar · Aug 2025
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.
Aurora SolarVendor case studyAurora Solar · Jul 2025
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.
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.
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.
Claude Agent SDK, Claude CodeVendor case studyAnthropic (Claude)