Karratha 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.
AI agents designed around the way a Karratha team actually runs.
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 Karratha teams tell us when they get on a call.
- Karratha services Pilbara LNG and iron ore, where a single day of downtime is worth more than most annual budgets.
- North West Shelf gas, iron ore, and the industrial services town built to support them. Response speed is priced into every contract, and slow admin is a commercial liability.
We work with teams across Karratha: Karratha CBD · Bulgarra · Nickol · Baynton · Dampier.
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How we build AI agents for a Karratha team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Karratha business, so value lands before the build is finished. AI agents that do work.
Talk to usThe outcome for Karratha teams
The shape of the result for Karratha 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
How fast could we have AI agents in production?
Eight to ten weeks for most Karratha 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 does AI agents cost for a Karratha?
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.
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 Karratha 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.
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.