We've worked with enough operators in Wodonga 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.
AI agents that do work, built for businesses operating in Wodonga.
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
Without Koala Dynamics
With Koala Dynamics
The Wodonga context, plainly.
- Wodonga is freight, defence and manufacturing at the Victorian end of the border twin city, sharing a customer base across two states.
- Logistics on the Hume, the Bandiana military area and light manufacturing. Operating across the NSW-Victoria border doubles the regulatory surface for anything involving employment or licensing.
We work with teams across Wodonga: Wodonga CBD · Baranduda · West Wodonga · Bandiana · Wodonga Plaza.
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How we build AI agents for a Wodonga team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Wodonga business, so value lands before the build is finished. AI agents that do work.
Talk to usThe outcome for Wodonga teams
The shape of the result for Wodonga teams: Replaces 15+ hours of weekly back-office work per agent deployed. Built on Claude Agent SDK, hardened with the rest of the stack as it scales.
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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
What's a typical engagement length for Wodonga businesses?
Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
Anyone else in this space using AI agents?
Plenty. Replaces 15+ hours of weekly back-office work per agent deployed. The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the call.
Can you work with our existing systems?
Yes. The default AI agents stack we reach for is Claude Agent SDK, OpenAI Agents, LangGraph, n8n, MCP, but we'll bend it around whatever you already run - Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.