Kiwi Dynamics

Manawatū-Whanganui · Applied AI

Internal AI knowledge base – wired into a Whanganui workflow, not bolted on the side.

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Whanganui sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers – none of those are details our default AI knowledge base template would catch.

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

Manawatū-Whanganui

The pattern across Whanganui engagements we've shipped.

  • Whanganui blends creative scene, river-led tourism, and steady local trades – AI here helps small operators run lighter and reach further.
  • Tourism, creative industries, and a growing remote-work population. AI tools that scale a small team's reach without enterprise overhead win.

We work with teams across Whanganui: Whanganui CBD · Castlecliff · Aramoho · Marton · Bulls.

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How we build AI knowledge base for a Whanganui team.

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

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The outcome for Whanganui teams

We'd call the engagement a success when Whanganui teams are using the system without thinking about us. New staff get to productive 3x faster – less senior-team interruption.

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 fast could we have AI knowledge base in production?

Eight to ten weeks for most Whanganui businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.

What does AI knowledge base cost for a Whanganui?

Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.

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 if our Whanganui doesn't have any data ready?

Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI knowledge base specifically, we typically run that work on Claude, Pinecone, Vercel AI SDK, Postgres, MCP and assume messy starting conditions from day one.

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We'll map your real workflow before quoting anything.

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