Semantic search (RAG) for builders.
For building companies who want results in weeks, not a year-long transformation programme.
Records of Building Work, photos and variations organised as the job runs, ready for the code compliance certificate.
Built around how New Zealand works.
Ask questions across your manuals, contracts and records and get answers with the source attached, not a guess.
- Restricted work needs an LBP
- Consent first, sign-off after
- The Master Build 10-Year Guarantee
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.
Small crew or big organisation, the busywork is the same :)
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.
The friction building companies hit that other industries don't.
Builders run multiple sites at once, and the paperwork behind each one grows faster than anyone has time to manage.
Variations, supplier orders, and client updates are the admin layer that determines whether a build stays on schedule.
We'd call the engagement a success when building companies are using the system without thinking about us. Average search time drops from 6 minutes to 12 seconds. Kiwi Dynamics
Straight answers
What's the smallest engagement you'd take on?
A two-week paid discovery for building companies that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
How fast could we have semantic search (RAG) in production?
Eight to ten weeks for most building companies. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What if our building company doesn't have any data ready?
Most don't. Getting the data into shape - ingestion, cleaning, the lightweight contracts you need before any model is useful - is part of the engagement. For semantic search (RAG) specifically, we typically run that work on Pinecone, Claude, Postgres pgvector, Vercel AI SDK and assume messy starting conditions from day one.
Will it work alongside Fergus or Tradify?
We build around the tools you already run instead of replacing them. Fergus and Tradify are both job management tools built in New Zealand for trades.
Can AI help with payday filing?
It can prepare it. Employers file employment information every payday, within 2 working days when filing electronically, and automation can have it ready for a person to check.
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