Declined work converted to repair orders
The direct revenue this workflow is meant to recover.
Every shop has a pile of declined work in its system: rear brakes at 3 mm, a seeping valve cover gasket, tires near the wear bars. The customer said not today, and most of the time nobody brings it up again until the next visit, if there is one. Meanwhile generic reminder postcards go out based on mileage guesses.
We would start by measuring the value of declined recommendations and how much comes back today. Then we would set up follow-ups that reference the actual finding and the tech's photo, timed to how urgent it was. We would also flag regular customers whose visit pattern has stopped, so an advisor can call before they settle into another shop.
Report declined line items over the past year by category and urgency, and how many came back later, to see where follow-up would matter most.
Safety items get a follow-up within a couple of weeks, soon items within a couple of months, and monitor items at the next due service, each referencing the original finding.
Each reminder names the vehicle, the item, the measurement and links to the inspection photo, with a simple way to book or ask a question.
List customers whose usual visit interval has passed by a wide margin, for an advisor to call personally rather than sending another automated text.
Track declined work booked, revenue from it and opt-outs each month, and adjust timing or wording where customers are not responding.
How we deliver this: AI automation for small business or fractional CTO leadership, scoped in writing and run over 90 days. See pricing or the sample scope.
The direct revenue this workflow is meant to recover.
A broad view of whether customers stay with the shop.
Ensures reminders help customers rather than push them away.
For example, a customer declined rear brakes at 3 mm in May. Three weeks later he gets a text naming his Tacoma, the measurement and the photo, with a link to book. He books for the following Saturday. Separately, a list shows a family with three vehicles who visited every few months but have not been in for ten months, and the advisor calls them. This is an illustrative example.
In the first 30 days we would export a year of declined line items and visit history, measure how much declined work came back on its own, review your current reminder settings and agree a follow-up schedule and message set to test.
Not if the message is honest and specific. A reminder that shows the tech's photo and measurement is useful information, not a sales push. We would keep the number of messages low, time them by real urgency and make opting out easy. The shop's reputation depends on not overstating anything.
Possibly not. Many systems can already send declined-work and service reminders, but they are often left on default settings or turned off. A typical first step is configuring those properly. We would only add another tool if your software cannot reference specific findings or flag lapsing customers.
Customers with several vehicles, high lifetime spend or a long visit history are worth a call when they lapse. The list would be generated from your shop data, and an advisor decides whether and how to reach out. Automated texts go to everyone else with declined or due work.
Illustrative defaults for an auto repair shop. Replace them with your numbers.
a month in staff time, before any lost sales
Illustration only, not a forecast or guarantee. Recovered staff time becomes a cash saving only if spending actually declines or the time goes into paid work. Tool costs are an assumption; we replace every number here with yours before recommending a scope.
Renewal and retention reminders: full guide
In 30 minutes we look at one recurring workflow, what it costs you today and whether there is a credible case to improve it. If there is not, we will say so.
30 minutes with Phil or Martin. No technical brief, no pitch deck. Phil or Martin replies personally, usually within one business day.