AI knowledge base in Greymouth.

Internal AI knowledge base - wired into a Greymouth workflow, not bolted on the side.

Mining, dairy and tourism all lean on Greymouth for servicing and supplies. We build AI that handles the job sheets, compliance and invoicing behind that work.

Small crew or big organisation, the busywork is the same :)

The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.

*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.

Built around how New Zealand works.

Policies, job manuals and compliance records in one place staff can ask, including Records of Building Work for restricted work.

  • Restricted work needs an LBP
  • GST at 15 per cent
  • Government work is tendered on GETS

How it works in Greymouth

We find the one workflow costing Greymouth businesses the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.

Less admin.
More weekend.
No theatre.

What AI knowledge base covers

The shape of the result for Greymouth teams: New staff get to productive 3x faster - less senior-team interruption.

  • 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
  • No AI theatre
  • No shelfware or licences you do not use

Business in Greymouth.

Greymouth is the commercial, professional, retail and manufacturing centre of the West Coast, and much of the servicing for coal, gold and aggregate mining is based there.

The Grey District has about 30 per cent of the West Coast's mining employment.

Definitely not a typical AI agency.

Straight answers, even when the answer is no

One workflow live in weeks, not a programme

Measured in hours back, not slides

*Every engagement is scoped and quoted up front. Results vary by workflow and business.

Good questions, answered

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 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 Greymouth team can actually run after we hand the build over, not what looks good on a vendor sticker.

What's the smallest engagement you'd take on?

A two-week paid discovery for Greymouth 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 AI help with payday filing?

It can prepare it. Employers file employment information every payday, within 2 working days when filing electronically, and automation can have it ready for a person to check.

How does this fit the Public Service AI Framework?

The framework, led by the Government Chief Digital Officer, asks for safe, transparent and accountable AI. Agencies that sign the Algorithm Charter also commit to transparency in how they use algorithms.

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