AI knowledge base in Pukekohe.
AI knowledge base that lives in your stack, not on a vendor's roadmap. Shipped from Auckland.
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 Pukekohe 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
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.
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.
What Pukekohe teams tell us when they get on a call.
Vegetable growing, food processing, and a rapidly expanding residential market. AI tools that respect long days and small teams win.
We work with teams in
What we build
AI knowledge base, tailored to Pukekohe businesses.
- 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
Common questions
Before you book the call.
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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