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

We've worked with enough operators in Mount Gambier to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI agents project is sit with your team for a day before we propose anything.

What AI agents actually does

Autonomous AI agents that don't just answer - they get things done. They check inventory, draft proposals, file paperwork, and chase quotes while your team focuses on the human work.

  • 01 Goal-driven agents that complete multi-step tasks
  • 02 Connect to your tools - Xero, HubSpot, Gmail, Slack, your CRM
  • 03 Human-in-the-loop checkpoints for anything risky
  • 04 Full audit log of every action the agent takes

Built on: Claude Agent SDK OpenAI Agents LangGraph n8n MCP

Where Mount Gambier operators actually lose hours.

  • 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 agents 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. AI agents that do work.

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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. Replaces 15+ hours of weekly back-office work per agent deployed.

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 agents 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.

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. Replaces 15+ hours of weekly back-office work per agent deployed.

Will this run on our own infrastructure?

Yes, where it makes sense. AI agents can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude Agent SDK, OpenAI Agents, LangGraph, n8n, 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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Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.