Auto repair shops · Applied AI

AI knowledge base that fits a auto repair shop's week, not the other way around.

When a auto repair shop asks us about AI knowledge base, the first question we put back is the same one every time: which part of your week, if it disappeared, would change how you feel on a Friday? We start the build from that answer.

What AI knowledge base actually does

Your team's tribal knowledge, finally searchable. Upload your SOPs, training videos, past emails, and Slack threads – your team asks questions and gets answers with citations.

  • 01 Ingests PDFs, Word docs, videos, Slack, Notion, Drive
  • 02 Answers with citations back to source documents
  • 03 Permission-aware – staff only see what they should
  • 04 Detects stale docs and prompts owners to update

Built on: Claude Pinecone Vercel AI SDK Postgres MCP

The honest read

Where most auto repair shops engagements actually deliver value.

  • Mechanics quote from underneath a car and answer the phone from underneath a car, and one of those always loses.
  • Booking, quoting, and parts follow-up are the admin layer that decides how many cars a workshop can turn over in a week.
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How we build AI knowledge base for auto repair shops.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a auto repair shop business, so value lands before the build is finished. Internal AI knowledge base.

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The outcome for auto repair shops

The shape of the result for auto repair shops: New staff get to productive 3x faster – less senior-team interruption. Built on Claude, hardened with the rest of the stack as it scales.

Not your typical AI agency.

Honest about what AI can and cannot do

Ships the one workflow that pays for itself

Hours given back, never the size of the invoice

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

Questions

FAQ

When does AI knowledge base actually pay back?

Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a auto repair shop – so the savings start landing before the rest of the build is finished.

Do you do hourly billing or fixed price?

Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.

What's the realistic outcome for auto repair shops?

New staff get to productive 3x faster – less senior-team interruption. We don't promise tenfold lifts because we don't see them outside of marketing decks.

Will this run on our own infrastructure?

Yes, where it makes sense. AI knowledge base can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, Pinecone, Vercel AI SDK, Postgres, MCP but the architecture supports your existing platform choices.

The honest version of a sales call.

No deck. No discovery doc. Just whether this is worth building and what it would cost.

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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.