AI agents that lives in your stack, not on a vendor's roadmap. Shipped from New South Wales.

Dubbo sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers - none of those are details our default AI agents template would catch.

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

Our field notes from Dubbo builds.

  • Dubbo is the service hub for the Orana - agriculture, transport, health and government all radiate out of it across an enormous catchment.
  • A logistics and agricultural service centre covering western NSW, plus a base hospital and a large tourism draw. Businesses serve customers hundreds of kilometres out, so remote quoting and scheduling carry disproportionate weight.

We work with teams across Dubbo: Dubbo CBD · Delroy · West Dubbo · South Dubbo · Wellington.

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How we build AI agents for a Dubbo team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Dubbo business, so value lands before the build is finished. AI agents that do work.

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The outcome for Dubbo teams

What changes for Dubbo 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. 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

What's the realistic timeline for AI agents with a Dubbo?

Most Dubbo businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational - your team gets to use the thing well before the engagement is "done".

What does AI agents cost for a Dubbo?

Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.

Do you have proof this works for Dubbo businesses?

Direct case study: Replaces 15+ hours of weekly back-office work per agent deployed. Happy to walk you through full numbers on a call.

What happens if we want to swap a vendor out later?

AI agents is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Claude Agent SDK, OpenAI Agents, LangGraph, n8n, MCP are our defaults, but the build is intentionally portable.

Twenty minutes, your call.

You describe what's broken. We'll tell you what we'd actually do about it.

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