AI agents that do work - wired into a Emerald workflow, not bolted on the side.

Emerald 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.

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

The pattern across Emerald engagements we've shipped.

  • Emerald sits in the Central Highlands where coal and cotton meet, serving both mines and farms out of one small town.
  • Bowen Basin coal, irrigated cotton, grain and the machinery and logistics behind them. Mining procurement and agricultural seasonality pull local businesses in two directions at once.

We work with teams across Emerald: Emerald CBD · Blackwater · Capella · Springsure · Clermont.

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How we build AI agents for a Emerald team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Emerald business, so value lands before the build is finished. AI agents that do work.

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The outcome for Emerald teams

We'd call the engagement a success when Emerald teams are using the system without thinking about us. Replaces 15+ hours of weekly back-office work per agent deployed.

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

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Koala Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Koala Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

FAQ

How quickly can we see something running?

Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".

Is AI agents worth it for a smaller Emerald?

Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.

Do you have proof this works for Emerald businesses?

Direct case study: Replaces 15+ hours of weekly back-office work per agent deployed. Happy to walk you through full numbers on a call.

What tools do you build AI agents on?

For AI agents we usually reach for Claude Agent SDK, OpenAI Agents, LangGraph, n8n, MCP. We're tool-agnostic at heart - we pick what your Emerald team can actually run after we hand the build over, not what looks good on a vendor sticker.

Twenty minutes, your call.

You describe what's broken. We'll tell you what we'd actually do about it.

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Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.