Kiwi Dynamics

Otago · Applied AI

Built and supported here – the way a Wānaka business would actually use it.

Book a demo

We've worked with enough operators in Wānaka to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any semantic search (RAG) project is sit with your team for a day before we propose anything.

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

Otago

The Wānaka context, plainly.

  • Wānaka has the boom-and-shoulder rhythm of a lifestyle town – AI here helps small teams handle big seasonal swings without burning out.
  • Tourism, hospitality, lifestyle property, and trades feeding constant builds. AI shines when it lets a small operator look like a big one.

We work with teams across Wānaka: Wānaka township · Albert Town · Hāwea · Cardrona · Lake Hāwea.

Talk to us about this →

How we build semantic search (RAG) for a Wānaka team.

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

Talk to us

The outcome for Wānaka teams

If we build the right slice first, Wānaka teams feel the difference inside the first month. 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

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 a Wānaka – 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 Wānaka businesses are surprised how small the first cheque is.

Has this actually shipped for a real Wānaka?

Yes. Average search time drops from 6 minutes to 12 seconds. We'll share comparable engagements on the call.

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.

Ready to talk specifics?

Scroll up – the form's right there.

Talk to Kiwi Dynamics

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.