AI employees for solar installers
We map your path from inbound lead to signed deal, find where revenue leaks out, and build the first AI employee to plug the biggest gap.





The leak
They leak out of the business one small annoyance at a time. A call comes in while everyone is busy. A lead asks for a price and someone has to chase the bill, the address, the roof details, the timeline. A quote needs making, but the person who knows how is already buried. The CRM is missing context. A warm proposal just sits there, because nobody is sure who followed up.
None of those looks like a six-figure problem by itself.
Together they are the feeling every busy operator knows: revenue is leaking, your time is getting eaten, and you are not fully in control of the system you are supposed to run.
Meet the crew
Some installers need speed. Some need cleaner intake. Some need better follow-up. Some need reviews from the happy customers they already have. We start with one employee, trained on one job, inside your real workflow. Sol manages the crew and is the one your team talks to.
#001The one your team talks to. Connects your calls, messages, CRM, and follow-up, and delegates each job to the right employee. "Sol, quote this lead." Done.
#002Answers after-hours calls and messages, captures the lead's details, qualifies intent, books the next step, and logs it all in the CRM.
#003Collects the bill, address, property details, battery needs, and timeline, then builds a quote and proposal draft your team reviews and sends.
#004Asks happy customers for reviews at the right moment, and flags unhappy ones privately before they turn into public reputation damage.
#005The custom employee we find in your audit and build for your biggest leak. Whatever job is quietly costing you deals, this one is trained to own it.
Proven in the real world
Sol's crew went to work inside a live solar installer, where the leads, quotes, and CRM are real and the team is busy. These are the fixes that held up.
Case 01
Que produces a quote and proposal draft for human review and sending. No claims of fully unsupervised, final engineering-grade quotes.
What happens on the call
Most AI projects fail because they start with a tool looking for a job. We do it the other way around. We walk your process from first inbound message to signed contract, then show where an AI employee can recover the most revenue, fastest.
Solarpunks
If you run a solar installation company and suspect good deals are getting stuck between inbound lead and signed contract, book the audit. By the end, you'll know the first job worth handing to an AI employee.
One call · You leave with a concrete first move