Hair salons · Applied AI

Semantic search (RAG) that fits a hair salon's week, not the other way around.

There is a version of semantic search (RAG) that hair salons buy off a shelf and quietly stop using inside a month. Then there's the version that's wired into your real workflow, owned by a person on your team, and still in use a year later. We only build the second one.

What semantic search (RAG) actually does

Search that understands intent, not just keywords. Your team types what they mean – and gets the right document, ticket, or product from across every system, with citations.

  • 01 Indexes Drive, SharePoint, Notion, Slack, your CRM
  • 02 Returns answers with source links – no hallucinations
  • 03 Permissioned so staff only see what they should
  • 04 Re-indexes nightly so results stay fresh

Built on: Pinecone Claude Postgres pgvector Vercel AI SDK

The hair salons reality

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.
Talk to us about this →

How we build semantic search (RAG) for hair salons.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a hair salon business, so value lands before the build is finished. AI search over your data.

Talk to us

The outcome for hair salons

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.

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

Start a conversation

*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.

Try the calculator

*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

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.

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.

Do you have proof this works for hair salons?

Direct case study: Average search time drops from 6 minutes to 12 seconds. Happy to walk you through full numbers on a call.

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.

The honest version of a sales call.

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

Get in touch

Talk to us about this

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