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

The reason we take on work in Orange is that the businesses here tend to be sharper about what they want than the brief lets on. AI agents for a Orange team almost always ends up looking different to AI agents for a downtown Auckland one.

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

What we keep seeing in Orange.

  • Orange runs on agriculture, cool-climate wine, gold mining at Cadia and a regional health sector, which is an unusually diverse mix for a city its size.
  • Cadia gold mine, a strong horticulture and wine sector, and a base hospital that serves the Central West. The services businesses here juggle mining clients on procurement terms and farm clients on a season, and both need different handling.

We work with teams across Orange: Orange CBD · Glenroi · Bletchington · Calare · Millthorpe.

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How we build AI agents for a Orange team.

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

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The outcome for Orange teams

If we build the right slice first, Orange teams feel the difference inside the first month. 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 fast could we have AI agents in production?

Eight to ten weeks for most Orange 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 Orange 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 Orange 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 reply, one direction.

We don't run sequences or follow-up automation. One useful answer, one decision on your side.

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