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AI Agents · Auckland

Custom AI agents for Auckland businesses.

Kanaky Tech designs and builds AI agents that take actions, use tools and plug into the systems your Auckland business already runs — qualifying leads, answering customers, moving operations and handling admin. Not a smarter chatbot. Software that does the work.

Who builds AI agents in Auckland?

Kanaky Tech is an AI studio operating from Auckland that builds custom AI agents for New Zealand SMEs and agencies — agents that take actions, use tools and integrate with existing systems rather than just chatting. Founded in 2024, Kanaky Tech is private-by-default: your data runs in controlled environments and is never used to train public AI models. Registered in New Zealand under NZBN 9429053554017, the studio also operates from Nouméa and serves the wider Pacific.

Auckland businesses don't need another chatbot

Most "AI" rolled out to New Zealand businesses is a box that answers questions. Useful, but it doesn't move work. An AI agent is different: it reads your CRM, drafts the follow-up, updates the record, routes the request and reports back — using the same tools your team uses. That's where the hours come from.

We build agents around one clear job at a time, wired into the software you already pay for. If you want the broader picture of how this fits operations across the country, see our AI automation in New Zealand page, or read how we keep these systems private and secure by design.

Types of agents we build

Lead-qualification agent

Reads inbound enquiries, scores and qualifies them against your criteria, asks the missing questions and books or routes the good ones — so your team only talks to leads worth their time.

Customer-response agent

Drafts and sends first-line replies across email and messaging, pulls answers from your own knowledge, and escalates anything sensitive to a human — fast responses without losing the human touch.

Operations agent

Connects the steps between your tools — moving a job from quote to scheduled to invoiced, updating records and triggering the next action so nothing falls through the gaps.

Document & admin agent

Reads, extracts and files the paperwork — invoices, forms, contracts — turning unstructured documents into clean data in your systems and cutting the manual data entry to near zero.

Internal-knowledge agent

Turns your scattered docs, SOPs and past projects into one place your team can ask — so staff get accurate answers instantly instead of pinging colleagues or digging through drives.

Proposal & quote agent

Assembles tailored quotes and proposals from your pricing and templates, fills the client detail and hands you a ready-to-send draft — collapsing a half-day task into minutes.

Agent vs chatbot — the distinction that matters

The fastest way to waste budget on AI is to buy a chatbot when you needed an agent. The difference is simple but decisive.

A chatbot lives inside a chat window and produces text. Ask it something, it answers; the conversation ends there. It has no hands. A chatbot can tell a customer your opening hours — it cannot rebook their appointment.

An AI agent has tools. It can call your booking system, write to your CRM, send the email, generate the document and trigger the next workflow — then come back and tell you what it did. It works toward an outcome, takes the steps to get there, and asks for a human when the decision is above its pay grade.

For an Auckland business, that line is the whole game: a chatbot deflects questions, an agent removes work. We build the second kind. If you want to see what removing work looks like across real engagements, browse our case studies.

How we build it
01 — Audit

Audit

We start with a free AI audit: map your processes, find where an agent earns its keep, and pick one job with a clear payoff. No build until the use case is real.

02 — Design

Design

We define exactly what the agent does, the tools it needs, the integrations it touches and where a human stays in the loop. You approve the scope before a line is built.

03 — Build

Build

We build the agent and wire it into your systems — CRM, inbox, messaging, databases — using APIs, automation layers and MCP. Tested against your real data, not a demo.

04 — Embed

Embed

We deploy it into your workflow, train your team, monitor it in production and tune it as the work shifts — so the agent stays useful, not a one-off experiment.

Want the audit step on its own? That's our free AI Opportunity Audit — the honest first step before any commitment.

Proof — systems we've actually shipped

We don't ask you to take agent-building on faith. Here's what we've built and run in production:

Live system · Model Context Protocol

mcp-datagouv-nc — a real MCP server

What
The first Model Context Protocol (MCP) server exposing New Caledonia's open-data portal directly to AI agents — the same standard that lets an agent reach into live data and tools rather than guessing.
Why it matters
Building and running a production MCP server is exactly the integration muscle an Auckland agent needs: giving an agent safe, structured access to the systems where your work actually lives.
Integration capability

Wired into the tools you already use

Channels
We connect agents through APIs, N8N automation flows, Telegram and other messaging channels, and MCP — meeting your stack where it is rather than forcing a rip-and-replace.
Approach
Agents read and write to your existing CRM, inbox and databases. The goal is to add a layer that acts, not another silo your team has to learn.
Internal demonstration · honest

From ~25 hours to ~20 minutes

Result
An AI-driven visual-production pipeline we built took a 50-product campaign from roughly 25 hours of manual work down to about 20 minutes. This is an internal demonstration of the pipeline, not a figure attributed to a named client.
The point
That same pattern — an agent collapsing a repetitive, multi-hour task into minutes — is what we scope for Auckland businesses in the audit.

For more on how we keep these builds isolated and confidential, see private AI systems; for the full picture of how AI fits your operations, see AI automation in New Zealand; and for worked examples, our case studies.

FAQ

Kanaky Tech is a Pacific AI automation and agent development studio that operates from Auckland and Nouméa. We design and build custom AI agents for New Zealand SMEs and agencies — agents that take actions, use tools and integrate with the systems a business already runs. Founded in 2024, we are registered in New Zealand (NZBN 9429053554017) and work with Auckland businesses remotely or in person.

A chatbot answers questions inside a chat window. An AI agent takes actions: it can read your CRM, send a follow-up, update a record, draft a quote, route a request or trigger another system — using tools and integrations rather than just text replies. A chatbot talks; an agent does the work and reports back. Most business value comes from agents that act, not from a smarter FAQ box.

It depends on scope, which is exactly why we start with a free AI audit rather than quoting a number cold. A narrow, single-task agent with a clear integration can be live in a couple of weeks; a multi-step agent that touches several systems takes longer. The audit defines the use case, the tools it needs and a realistic timeline before any build begins, so you are never paying to discover the scope.

Yes. Integration is the point of an agent. We connect agents to existing tools through APIs, automation layers like N8N, messaging channels such as Telegram, and the Model Context Protocol (MCP) — the same standard we used to build mcp-datagouv-nc, a live MCP server. If your CRM, inbox or database has an interface, an agent can usually be wired into it rather than replacing it.

Yes. Kanaky Tech is private-by-default: your business data runs in controlled environments and is never used to train public or consumer AI models. Engagements are available under NDA, and we scope each build so sensitive data stays inside systems you control. Privacy is a design constraint from day one, not an afterthought.

Yes. We work with Auckland agencies on a white-label basis — we build the agent infrastructure and you deliver it to your clients under your own brand. We already run a white-label visual-production platform (Keou AI, keou.systems) on the same model, so white-label delivery is a proven part of how we operate.

Let's scope your first agent.

Book a free AI audit and we'll find the one job an agent can take off your Auckland team's plate — with an honest timeline and no commitment to build.

Book a free AI audit Contact