Kapiti Coast · Applied AI

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

Most of our Paraparaumu 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

Kapiti Coast

The Paraparaumu context, plainly.

  • The Kāpiti Coast is fast-growing, commuter-rich, and full of small businesses serving a busy local market – AI here means clean service at scale.
  • Retail, hospitality, trades, and a strong remote-work professional population. AI tools that polish customer experience win quickly.

We work with teams across Paraparaumu: Paraparaumu · Raumati · Waikanae · Otaki · Pukerua Bay.

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

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

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The outcome for Paraparaumu teams

If we build the right slice first, Paraparaumu 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

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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

What's a typical engagement length for Paraparaumu businesses?

Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.

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.

Has this actually shipped for a real Paraparaumu?

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

Can you work with our existing systems?

Yes. The default semantic search (RAG) stack we reach for is Pinecone, Claude, Postgres pgvector, Vercel AI SDK, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.

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