AI knowledge base in Timaru.
AI knowledge base designed around the way a Timaru 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 Timaru 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
Timaru 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 Canterbury.
What changes for Timaru teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. New staff get to productive 3x faster – less senior-team interruption.
What we keep seeing in Timaru.
Port of Timaru, food processors, dairy, and a wide trades sector. AI tools that integrate with existing ERP and POS land best.
We work with teams in
What we build
AI knowledge base, tailored to Timaru 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 Timaru 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 Timaru 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.
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.
What if our Timaru 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.
One reply, one direction.
We don't run sequences or follow-up automation. One useful answer, one decision on your side.
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