Canterbury · Applied AI

AI agents that lives in your stack, not on a vendor's roadmap. Shipped from Canterbury.

The reason we take on work in Timaru is that the businesses here tend to be sharper about what they want than the brief lets on. AI agents for a Timaru 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

Canterbury

What we keep seeing in Timaru.

  • South Canterbury runs on port logistics, food processing, and dairy – AI here is about coordinating shifts and shipments with fewer phone calls.
  • Port of Timaru, food processors, dairy, and a wide trades sector. AI tools that integrate with existing ERP and POS land best.

We work with teams across Timaru: Timaru CBD · Marchwiel · Highfield · Geraldine · Temuka · Pleasant Point.

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How we build AI agents for a Timaru team.

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

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The outcome for Timaru teams

Replaces 15+ hours of weekly back-office work per agent deployed. For Timaru 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

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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 Kiwi Dynamics, that drops to about 52.

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

Questions

FAQ

What's the realistic timeline for AI agents with a Timaru?

Most Timaru businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational – your team gets to use the thing well before the engagement is "done".

Is AI agents worth it for a smaller Timaru?

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.

What's the realistic outcome for Timaru businesses?

Replaces 15+ hours of weekly back-office work per agent deployed. We don't promise tenfold lifts because we don't see them outside of marketing decks.

What happens if we want to swap a vendor out later?

AI agents is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Claude Agent SDK, OpenAI Agents, LangGraph, n8n, MCP are our defaults, but the build is intentionally portable.

Sketch this with us.

We'll map your real workflow before quoting anything.

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