AI audit · Peter's Painting
Chasing quotes from memory, after the kids are down
Peter's Painting had two bottlenecks running on memory: quotes chased in the evening, and roughly 160 job applicants nobody had time to screen. The audit found a fix for both, plus a free win already switched off.
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The problem
Ten to fifteen quotes go out a week in summer, followed up from memory, in the evening, after the kids are down. Four were still sitting undone the morning of the audit call. Contractors who run estimate follow-up properly, starting within two days, see about 6 in 10 customers reply.
Around 160 applications had come in for one role, with roughly 30 carrying real experience, against five firm requirements. Reading every profile by hand was the actual bottleneck to hiring, not a shortage of candidates.
Peter is paying for Google ads, listing rank, and SEO, all pointed at a Google Business listing with no review-request process behind it at all, not a weak one, none.
What we proposed
Quote follow-up moves to automatic: a text drafted in Peter's own wording after a couple of quiet days, sent to Peter for a ten-second review and send, and it stops the moment the customer replies.
Every Indeed application gets scored against the five firm requirements by AI and dropped into a spreadsheet with the applicant's info already pulled out, so Peter reviews a short list instead of 160 profiles. Nobody is deleted, just parked.
Google review requests fire automatically off the same QuickBooks paid-invoice trigger Peter already has, texted and emailed to every customer with no filtering, since Google prohibits picking who gets asked.
The result
Two bottlenecks that ran on memory, one fix each
160
applicants manually screened for one role
8.3
ICE score on both of the top-ranked fixes
6 in 10
customers reply to a properly timed quote follow-up
What the client said
“Adam took a close look at my business and the way we currently operate, particularly around following up with leads, following up on quotes, and systemizing some of the processes we already have in place. He helped identify areas where AI and automation could save us time, improve our processes, and make the business run more efficiently without completely changing the way we already work. The audit gave me a much clearer understanding of where AI could realistically fit into the business, what would actually be worth automating, and where we should focus moving forward. I definitely walked away with more clarity and a better idea of how we could adopt AI in a practical way.”