Kiwi Dynamics

Otago · Applied AI

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

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The version of semantic search (RAG) that works for a Queenstown business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates – usually with fewer parts than the off-the-shelf pitch.

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

What's different about doing this work in Queenstown.

  • Queenstown's economy is tourism on rails – peak season is chaos, shoulder season is brutal. AI smooths both.
  • Hospitality, accommodation, adventure operators, and a tight labour pool that empties every winter. AI here means coverage when staff can't be hired.

We work with teams across Queenstown: CBD · Frankton · Arrowtown · Jack's Point · Arthurs Point · Wanaka.

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

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

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The outcome for Queenstown teams

What changes for Queenstown teams 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. 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

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*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.

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*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 Queenstown – 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 Queenstown businesses are surprised how small the first cheque is.

Has this actually shipped for a real Queenstown?

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.

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