The reason we take on work in Kerikeri is that the businesses here tend to be sharper about what they want than the brief lets on. AI agents for a Kerikeri 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
Without Kiwi Dynamics
With Kiwi Dynamics
Northland
What Kerikeri teams tell us when they get on a call.
- Kerikeri is horticulture, tourism, and a fast-growing lifestyle community – AI here is about connecting orchard, paddock, and storefront.
- Kiwifruit, citrus, and a steady hospitality scene serving the Bay of Islands. AI tools that work in low-signal areas land best.
We work with teams across Kerikeri: Kerikeri central · Waipapa · Kaitāia · Russell · Paihia · Mangonui.
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How we build AI agents for a Kerikeri team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Kerikeri business, so value lands before the build is finished. AI agents that do work.
Talk to usThe outcome for Kerikeri teams
Replaces 15+ hours of weekly back-office work per agent deployed. For Kerikeri 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions
FAQ
How fast could we have AI agents in production?
Eight to ten weeks for most Kerikeri 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 Kerikeri 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.
What's the realistic outcome for Kerikeri 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 if our Kerikeri 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.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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.