AI knowledge base in Gisborne.

Internal AI knowledge base, built for businesses operating in Gisborne.

AI knowledge base for a Gisborne operator

Twenty minutes. We listen, ask sharp questions, and tell you honestly whether what you're picturing is worth building.

What this is

Internal AI knowledge base

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.

New staff get to productive 3x faster – less senior-team interruption.

How it helps your Gisborne team

What you actually get.

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

We've worked with enough operators in Gisborne to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI knowledge base project is sit with your team for a day before we propose anything.

The shape of the result for Gisborne teams: New staff get to productive 3x faster – less senior-team interruption. Built on Claude, hardened with the rest of the stack as it scales.

Why Gisborne businesses are a fit for this.

Strong Māori economy, agriculture, and tourism shoulder peaks. AI tools that work offline and bilingually find a fast home here.

We work with teams in

CBDKaitiMangapapaRuatoriaWairoa

What we build

AI knowledge base, tailored to Gisborne businesses.

Built on: ClaudePineconeVercel AI SDKPostgresMCP

Common questions

Before you book the call.

What's a typical engagement length for Gisborne 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.

Do you do hourly billing or fixed price? +

Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.

Can you walk us through a comparable build? +

Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. New staff get to productive 3x faster – less senior-team interruption.

Can you work with our existing systems? +

Yes. The default AI knowledge base stack we reach for is Claude, Pinecone, Vercel AI SDK, Postgres, MCP, 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.

Skip the pitch.

Tell us the workflow and we'll come back with what we'd build first.

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