AI knowledge base in Kerikeri.
AI knowledge base designed around the way a Kerikeri team actually runs.
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 Kerikeri 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
Kerikeri 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.
The shape of the result for Kerikeri 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.
What we keep seeing in Kerikeri.
Kiwifruit, citrus, and a steady hospitality scene serving the Bay of Islands. AI tools that work in low-signal areas land best.
We work with teams in
What we build
AI knowledge base, tailored to Kerikeri 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 fast could we have AI knowledge base in production? +
Eight to ten weeks for most Kerikeri 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's the smallest engagement you'd take on? +
A two-week paid discovery for Kerikeri 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.
What's the realistic outcome for Kerikeri businesses? +
New staff get to productive 3x faster – less senior-team interruption. We don't promise tenfold lifts because we don't see them outside of marketing decks.
What if our Kerikeri 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.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
Back to the form ↑