Australian Capital Territory · Applied AI
AI agents in Canberra
AI agents that lives in your stack, not on a vendor's roadmap. Shipped from Australian Capital Territory.
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.
Canberra 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.
- 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
Why Canberra businesses choose this
Canberra runs on government, policy and the contractors that service them – AI here has to handle process and compliance as carefully as it handles speed.
Our field notes from Canberra builds.
Federal departments and the consultancies orbiting them generate huge volumes of documents, submissions and reporting. Canberra teams want AI that speeds up drafting and research without ever guessing on something that needs a citation.
We work with teams across Canberra: Civic · Belconnen · Woden · Gungahlin · Tuggeranong · Barton.
How we build AI agents for a Canberra team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Canberra business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.
AI agents that do work.
The outcome for Canberra teams
The shape of the result for Canberra 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.
Replaces 15+ hours of weekly back-office work per agent deployed.
AI agents in Canberra – common questions
How fast could we have AI agents in production?
Eight to ten weeks for most Canberra businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on?
A two-week paid discovery for Canberra businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
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.
What if our Canberra doesn't have any data ready?
Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI agents specifically, we typically run that work on Claude Agent SDK, OpenAI Agents, LangGraph, n8n, MCP and assume messy starting conditions from day one.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
Get in touch
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.