Semantic search (RAG) for hair salons.
Semantic search (RAG) that fits a hair salon's week, not the other way around.
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.
Bookings, reminders and rebooking prompts handled automatically, so the chair stays full and the phone stays quiet.
Definitely not a typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Built around how New Zealand works.
Ask questions across your manuals, contracts and records and get answers with the source attached, not a guess.
- Data that stays in New Zealand
- Government work is tendered on GETS
- Payday filing, every payday
We'd call the engagement a success when hair salons are using the system without thinking about us. Average search time drops from 6 minutes to 12 seconds. Kiwi Dynamics
Small crew or big organisation, the busywork is the same :)
The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.
*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.
What we keep hearing from NZ hair salons.
Salons run on a fully booked chair, and every gap in the calendar is revenue that doesn't come back.
Rebooking, no-show follow-ups, and client reminders are what keep a salon's calendar full without constant manual chasing.
Questions hair salons ask
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
How long does semantic search (RAG) take to ship for hair salons?
We aim for a working pilot inside 4-6 weeks - narrow scope, real hair salons data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.
Who owns the code and the model setup?
You do, on delivery. We deploy semantic search (RAG) into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Pinecone sits in your account too - we don't operate it from ours.
Can you work to the NZISM?
The NZISM is the government's information security manual and is written for vendors serving agencies as well as the agencies themselves, so government-adjacent work should be built to it.
What does the Privacy Commissioner expect before we use AI?
Senior leadership sign-off, a check that the tool is necessary and proportionate, and a privacy impact assessment before it goes live.
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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