Semantic search (RAG) for auto mechanics.
Semantic search (RAG) that fits an auto repair shop's week, not the other way around.
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.
Reminders timed to each car's WoF, which from 1 November 2026 moves to every two years for many 4 to 14 year old vehicles.
Made for New Zealand paperwork.
Ask questions across your manuals, contracts and records and get answers with the source attached, not a guess.
- WoF rules change November 2026
- Serious breaches get reported
- Restricted work needs an LBP
Not your typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Already buried in admin? We'll sort the first workflow for you :)
Nine hours a week of admin is 468 hours a year. That could drop to about 52.*
*Illustrative, based on 9 hours a week of admin at a typical 80% automation rate. The calculator uses your own numbers.
On the tools or running at scale, the admin still eats the week :)
Quotes with GST, consent paperwork, LBP records and health and safety logs: the admin every New Zealand trade business carries.
*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.
One workflow.
In production.
In weeks.
What semantic search (RAG) covers
What changes for auto repair shops after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided.
- Indexes Drive, SharePoint, Notion, Slack, your CRM
- Returns answers with source links - no hallucinations
- Permissioned so staff only see what they should
- Re-indexes nightly so results stay fresh
- No shelfware or licences you do not use
- No AI theatre
Straight answers
Will this run on our own infrastructure?
Yes, where it makes sense. Semantic search (RAG) can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Pinecone, Claude, Postgres pgvector, Vercel AI SDK but the architecture supports your existing platform choices.
When does semantic search (RAG) actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for an auto repair shop - so the savings start landing before the rest of the build is finished.
How do you price semantic search (RAG) engagements?
Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most auto repair shops are surprised how small the first cheque is.
Can it remind us about the annual return?
Yes. Every company must file an annual return with the Companies Office each year, separate from its tax return.
Do you work with Xero?
Yes. Xero is one of the systems we build around, and we connect to the other tools you already run rather than asking you to switch.
Talk to us about semantic search (RAG)
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Tell us what you're trying to do and we'll reply with how we'd build it, no obligation.
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