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Auto repair shops · Estimating support

Get estimates in front of customers while the car is still on the lift

The tech finds a leaking water pump and worn front pads, takes photos and notes it in the digital inspection. Then the car sits. The advisor has to look up labor in ProDemand or ALLDATA, check parts pricing in PartsTech or two supplier sites, write it up in plain language and call the customer. An hour later the tech has moved on and the bay is blocked.

How it often works today
  • Advisors rebuild common jobs from scratch, looking up labor times and parts for each one, which takes ten to twenty minutes per estimate.
  • Tech notes in the inspection are short and technical, so the advisor rewrites them before a customer can understand what is wrong and why it matters.
  • Parts markup and labor rates are applied inconsistently between advisors, which shows up as uneven gross profit on similar jobs.
  • Cars sit on lifts waiting for approval calls, blocking bays and stretching the time techs spend between billed jobs.

We would map that sequence step by step and time it. The aim is a draft estimate that assembles itself from the inspection findings, canned jobs and your pricing matrix, so the advisor reviews, adjusts and sends it. Advisors still decide what to recommend, how to prioritize it and what to charge.

The improved workflow

Clean up canned jobs and the pricing matrix

Review your most common jobs and make sure each canned job has current labor, parts and the right markup tier, so most estimates start from a correct template.

Structure the inspection findings

Agree a consistent way for techs to record findings, measurements and urgency in the inspection so the estimate step can pick them up without retyping.

Draft the estimate and explanation

Generate a draft estimate from the findings and canned jobs, plus a short plain-language explanation of each item with the tech's photo, grouped by safety, soon and monitor.

Advisor reviews and sends

The advisor checks parts availability, adjusts price and priority, and sends the estimate by text for digital approval or calls for larger jobs.

Track approval and margin

Record approvals and declines per line item so the shop can see approval rates and gross profit by job type and by advisor.

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.

What we would measure

Time from inspection complete to estimate sent

The core delay this work is meant to shorten.

Approval rate on recommended work

Faster, clearer estimates should lead to more approved line items, not just quicker ones.

Gross profit percentage on parts and labor

Confirms pricing stays consistent when estimates are built faster.

Advisor edits per draft

Shows whether the drafts are accurate enough to save time.

Where people stay in control

  • No estimate goes to a customer without an advisor reviewing every line, price and recommendation.
  • Price changes after approval require a new customer authorization, in line with Colorado's written estimate rules.
  • Plain-language explanations are checked against the tech's findings so nothing is overstated to push approval.
Example

Illustrative: brake and cooling system findings

For example, a tech marks front pads at 3 mm, rotors below spec and a weeping water pump, with photos. The draft estimate pulls the brake canned job and the water pump labor time, applies the shop's parts matrix and writes two short explanations. The advisor swaps to a different pad brand that is in stock, moves the pump to 'soon' and texts the estimate in under ten minutes. This is an illustrative workflow, not a measured result.

Tools typically involved

TekmetricShopmonkeyMitchell 1 ProDemandALLDATAPartsTechAutoVitals

What the first 30 days look like

In the first 30 days we would time the inspection-to-estimate step on real repair orders, review your top 20 canned jobs and pricing matrix, agree an inspection note format with your techs and set targets for estimate turnaround and approval rate.

Common questions

Will AI decide what repairs to recommend?

No. The tech's inspection and the advisor's judgment decide what is recommended. The automation only assembles the estimate from findings that a person has already recorded and drafts an explanation. The advisor can change or remove anything before it goes out, and should.

Do we need new software for this?

Often the biggest gains come from cleaning up canned jobs, pricing matrices and inspection templates in the system you already have. Tekmetric, Shopmonkey and Shop-Ware all support canned jobs and digital approvals. We would add AI drafting only where it saves measurable advisor time after those basics are fixed.

How do you keep parts pricing accurate?

Parts pricing should come from your supplier catalogs and your own matrix, not from an AI guess. The draft can pull current pricing through tools like PartsTech where connected, and the advisor confirms availability and cost before sending. We would check a sample of estimates each week during the pilot.

The business case

Does it pay for itself?

Illustrative defaults for an auto repair shop. Replace them with your numbers.

What this workflow costs today

a month in staff time, before any lost sales

Monthly fee + assumed tools +
Break-even: new clients a month (at first-year value)
Or: staff hours recovered and redeployed
Break-even additional revenue
Value of +1 point of win rate
First 90 days, service fee

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.

Next step

Bring one expensive workflow. Leave with a clear next step.

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.

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