The version of AI agents that works for a Burnie business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates - usually with fewer parts than the off-the-shelf pitch.
Built and supported here - the way a Burnie 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 Burnie.
- Burnie is a port and industrial town on the north west coast, running on forestry, mining services and manufacturing.
- Bulk port operations, forestry, mineral processing and advanced manufacturing. Industrial clients bring safety and quality documentation that small suppliers struggle to keep up with.
We work with teams across Burnie: Burnie CBD · Somerset · Wynyard · Upper Burnie · Penguin.
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How we build AI agents for a Burnie team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Burnie business, so value lands before the build is finished. AI agents that do work.
Talk to usThe outcome for Burnie teams
Replaces 15+ hours of weekly back-office work per agent deployed. For Burnie 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
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 Burnie - 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.
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.
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.
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.