Built and supported here - the way a Mount Gambier business would actually use it.

Most of our Mount Gambier 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.

What AI knowledge base actually does

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.

  • 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

Built on: Claude Pinecone Vercel AI SDK Postgres MCP

The Mount Gambier context, plainly.

  • Mount Gambier is timber country - plantation forestry and processing, with dairy and Coonawarra wine around it.
  • Softwood plantations, sawmilling, dairy and a well-known wine region on the doorstep. Forestry and processing clients bring heavy safety and chain-of-custody documentation.

We work with teams across Mount Gambier: Mount Gambier CBD · Suttontown · Worrolong · Millicent · Penola.

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How we build AI knowledge base for a Mount Gambier team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Mount Gambier business, so value lands before the build is finished. Internal AI knowledge base.

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The outcome for Mount Gambier teams

We'd call the engagement a success when Mount Gambier teams are using the system without thinking about us. New staff get to productive 3x faster - less senior-team interruption.

Not your typical AI agency.

Honest about what AI can and cannot do

Ships the one workflow that pays for itself

Hours given back, never the size of the invoice

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

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Koala Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Koala Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

FAQ

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 Mount Gambier - 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.

Do you have proof this works for Mount Gambier businesses?

Direct case study: New staff get to productive 3x faster - less senior-team interruption. Happy to walk you through full numbers on a 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.

The honest version of a sales call.

No deck. No discovery doc. Just whether this is worth building and what it would cost.

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Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.