Kiwi Dynamics

Gisborne · Applied AI

For Gisborne operators who want a working pilot in weeks, not a year-long programme.

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Most of our Gisborne engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. Semantic search (RAG) is then designed against the detail, not the shape.

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

Gisborne

What's different about doing this work in Gisborne.

  • Tairāwhiti runs on horticulture, forestry, and tight-knit communities – AI here is about lightening admin so people stay on the land and the boat.
  • Strong Māori economy, agriculture, and tourism shoulder peaks. AI tools that work offline and bilingually find a fast home here.

We work with teams across Gisborne: CBD · Kaiti · Mangapapa · Ruatoria · Wairoa.

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

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

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The outcome for Gisborne teams

We'd call the engagement a success when Gisborne teams 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

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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 Gisborne – 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 Gisborne businesses are surprised how small the first cheque is.

Has this actually shipped for a real Gisborne?

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.