AI knowledge base in Wellington.
Built and supported here – the way a Wellington business would actually use it.
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 Wellington 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
Most of our Wellington engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. AI knowledge base is then designed against the detail, not the shape.
We'd call the engagement a success when Wellington teams are using the system without thinking about us. New staff get to productive 3x faster – less senior-team interruption.
Where Wellington operators actually lose hours.
From central-government contractors to Kilbirnie tradies, Wellington teams want AI that respects security, privacy, and a healthy scepticism. We build accordingly.
We work with teams in
What we build
AI knowledge base, tailored to Wellington 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.
When does AI knowledge base actually pay back? +
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Wellington – so the savings start landing before the rest of the build is finished.
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.
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.
Will this run on our own infrastructure? +
Yes, where it makes sense. AI knowledge base can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, Pinecone, Vercel AI SDK, Postgres, MCP but the architecture supports your existing platform choices.
Skip the pitch.
Tell us the workflow and we'll come back with what we'd build first.
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