Most of our Ballarat 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 agents is then designed against the detail, not the shape.
Built and supported here - the way a Ballarat business would actually use it.
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
What's different about doing this work in Ballarat.
- Ballarat runs on health, education, government services and manufacturing, and it is close enough to Melbourne to compete for the same clients.
- A large regional health sector, Federation University, government service centres and a real manufacturing base. Businesses here pitch against Melbourne firms, so response time is often the whole differentiator.
We work with teams across Ballarat: Ballarat CBD · Wendouree · Sebastopol · Alfredton · Bakery Hill.
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How we build AI agents for a Ballarat team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Ballarat business, so value lands before the build is finished. AI agents that do work.
Talk to usThe outcome for Ballarat teams
Replaces 15+ hours of weekly back-office work per agent deployed. For Ballarat teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
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 Ballarat 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.
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.
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.