Every solar installer we talk to describes some version of the same problem. Leads come in, quotes go out, and somewhere in between a chunk of good business quietly disappears - answered too slowly, followed up too late, or lost in the gap between a proposal tool, a job management system and a spreadsheet nobody trusts. G-Solar, a real Australian solar and battery installer and a Pipereply client, was living that exact pattern before we started working together.

This is a genuine solar business automation case study, not a highlight reel. It walks through what G-Solar's day-to-day admin and sales process looked like beforehand, what we actually built, and what changed over roughly the following six months. Results vary by business - we say that on every page and we mean it - but the pattern behind G-Solar's numbers is the same one we see across the installers we work with: answer faster, follow up harder, and the same lead flow produces more installs.

The admin grind before Solar AI-Q

Before the build, G-Solar's problems were not unusual. They are the same three things that eat a solar business alive, one Strategy Call at a time.

Leads went cold after hours

Solar enquiries do not arrive on business hours. A homeowner fills in a form at 8pm after finally sitting down to compare quotes, or clicks through from a lead provider on a Saturday afternoon. Most enquiries go cold within hours, and every hour a lead sits unanswered is an hour a competitor has to get there first. Like most installers, G-Solar's team was doing its best to call leads back promptly during the day - but nights, weekends and the gaps between site visits were where leads slipped away.

Quotes died in the inbox

A sent proposal is not a sale. Between "proposal sent" and "deal signed" sits a gap that no design or proposal tool was built to fill on its own - someone has to notice a quote was viewed, remember to follow it up, and do that consistently across dozens of open proposals at once. On a busy week, with the team on the tools and on the roof, that follow-up simply did not happen every time. The proposal that got viewed twice and never chased is often the most expensive lead in the business, because it has already been won once.

Systems that did not talk to each other

Like most installers, G-Solar was running good individual tools - a proposal platform, a job management system, a handful of lead sources - but none of them were connected. Re-keying the same customer details across separate systems, chasing paperwork by hand, and having no single view of a customer from first enquiry through to install was where hours vanished every week. That is the admin workload the packages on our pricing page are built to remove.

The build: integration first, automation second, AI on top

The approach with G-Solar was the same one behind every build we do: integration first, automation second, AI on top. We did not hand over another app and wish them luck. We connected the systems G-Solar already used, then layered structured automation and an AI team over the top of that connected data - through structured automation and integrated systems, not hype-driven tools.

Every lead answered, day or night

The first piece was speed to lead. Piper, our AI appointment setter, engages every new enquiry by voice and text, 24 hours a day, and books the appointment straight into the calendar. Alongside Piper, Sarah places an outbound voice call to new leads within moments of them coming in, qualifying and booking before the trail goes cold. Between the two, a lead landing at 9pm on a Sunday gets the same response as one landing at 9am on a Tuesday.

Quotes that get chased, not forgotten

Next was the proposal gap. G-Solar's proposal software was connected so that a proposal being sent, viewed or signed fires straight into the CRM as an event, no one has to notice it manually. Andy, our AI proposal follow-up agent, watches that activity and follows up by text so a viewed-but-not-signed quote turns back into a conversation. Because every call is transcribed and summarised by our AI Note Taker, Andy's follow-up references the actual conversation the customer had, not a generic template.

One entry, everywhere updated

The last piece closed the loop between sales and the field. A job management integration syncs job creation and status between the CRM and field operations, so a signed deal turns into a scheduled job without anyone re-typing the same details a second or third time. That is the Solar AI-Q Hub doing its job in the background: one entry, everywhere updated.

The headline numbers: G-Solar cut its admin workload by around 40-50% and grew sales by around 20-30% within roughly six months of the build going live. Results vary by business, but the pattern is consistent - answer faster, follow up harder, and the same lead flow produces more installs.

Why it worked: integration before automation

It would have been easy to sell G-Solar a chatbot and call it done. That is not the model. Solar AI-Q is not SaaS, it is SWaS - software with a service - which means every agent in the build is set up, tuned and managed by our team, not handed over as a self-serve tool to configure alone. The AI only works because the underlying systems are actually connected first. Automation layered on top of disconnected tools just automates the chaos faster. Automation layered on top of integrated systems is what actually removes admin hours and lets more leads reach an install.

That is also why the result is not a single trick. It is Piper and Sarah answering faster, Andy chasing quotes that would otherwise go quiet, the proposal integration turning activity into a trigger instead of a guess, and the job management sync removing the re-keying that eats a Friday afternoon. Every piece supports the others.

What other installers can take from this

You do not need to be G-Solar's exact size or run G-Solar's exact stack to get value from this. A few checks worth running against your own business:

  • Time your own response. Fill in your own website form after hours and time how long it takes for a human reply. If it is measured in hours rather than minutes, you are losing leads the same way G-Solar was.
  • Audit your open proposals. Pull up every quote sitting in "sent" or "viewed" and ask who last followed it up, and when. A pile of quotes with no recent activity is admin debt, not a healthy pipeline.
  • Count the re-keying. If a deal closing means typing the same customer details into a second or third system by hand, that is exactly the kind of work an integration removes - see our integrations overview for what is possible with the tools you already run.
  • Start with speed to lead. If you only fix one thing this quarter, fix how fast a new enquiry gets a reply. Our guide on speed to lead in solar breaks down why five minutes matters more than almost anything else in the sales process.

None of this needed G-Solar to rip out software they liked. The proposal tool stayed. The job management system stayed. What changed was the connective tissue between them, and an AI team working every lead and every quote around the clock.