Auckland · Applied AI

AI knowledge base that lives in your stack, not on a vendor's roadmap. Shipped from Auckland.

Pukekohe businesses don't need another generic AI pitch. AI knowledge base only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Auckland.

What AI knowledge base actually does

Your team's tribal knowledge, finally searchable. Upload your SOPs, training videos, past emails, and Slack threads – your team asks questions and gets answers with citations.

  • 01 Ingests PDFs, Word docs, videos, Slack, Notion, Drive
  • 02 Answers with citations back to source documents
  • 03 Permission-aware – staff only see what they should
  • 04 Detects stale docs and prompts owners to update

Built on: Claude Pinecone Vercel AI SDK Postgres MCP

Auckland

What Pukekohe teams tell us when they get on a call.

  • Franklin and South Auckland's growth corridor – horticulture, food processing, and trades supporting a constant build boom.
  • Vegetable growing, food processing, and a rapidly expanding residential market. AI tools that respect long days and small teams win.

We work with teams across Pukekohe: Pukekohe · Waiuku · Tuakau · Bombay · Patumāhoe.

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How we build AI knowledge base for a Pukekohe team.

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

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The outcome for Pukekohe teams

New staff get to productive 3x faster – less senior-team interruption. For Pukekohe teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.

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

How quickly can we see something running?

Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".

What's the smallest engagement you'd take on?

A two-week paid discovery for Pukekohe businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.

Anyone else in this space using AI knowledge base?

Plenty. New staff get to productive 3x faster – less senior-team interruption. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.

What tools do you build AI knowledge base on?

For AI knowledge base we usually reach for Claude, Pinecone, Vercel AI SDK, Postgres, MCP. We're tool-agnostic at heart – we pick what your Pukekohe team can actually run after we hand the build over, not what looks good on a vendor sticker.

Twenty minutes, your call.

You describe what's broken. We'll tell you what we'd actually do about it.

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