MCP integrations in Hamilton.

For Hamilton operators who want a working pilot in weeks, not a year-long programme.

Hamilton mixes healthcare, manufacturing and the agritech that turns up at Fieldays every June. We build AI for the admin those businesses still do by hand.

What MCP integrations actually do

Wire Claude, ChatGPT, or Gemini directly into your tools with the Model Context Protocol. With the right workflow automated, nine hours of admin a week could drop to about one.*

*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual results vary by workflow and business.

We'd call the engagement a success when Hamilton teams are using the system without thinking about us. Existing AI tools become 10x more useful with real business context. Kiwi Dynamics

Already buried in admin? We'll sort the first workflow for you :)

Nine hours a week of admin is 468 hours a year. That could drop to about 52.*

*Illustrative, based on 9 hours a week of admin at a typical 80% automation rate. The calculator uses your own numbers.

What Hamilton runs on.

Healthcare is Hamilton's largest employment sector at 16 per cent of jobs, alongside manufacturing, logistics, education and tech, and the University of Waikato and Wintec make it a centre of learning and research.

Fieldays at Mystery Creek is the Southern Hemisphere's largest agricultural event. Fieldays runs at Mystery Creek every June.

From one-person trades to national organisations, we find the hours :)

The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.

*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.

Definitely not a typical AI agency.

We say when AI is not the answer

Production first, demo second

You keep the hours, the data and the system

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

Questions Hamilton businesses ask

Are there hidden costs we should plan for?

Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.

How long does MCP integrations take to ship for Hamilton businesses?

We aim for a working pilot inside 4-6 weeks - narrow scope, real Hamilton businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.

Anyone else in this space using MCP integrations?

Plenty. Existing AI tools become 10x more useful with real business context. The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the call.

Does scheduling handle public holidays?

It should. New Zealand has 11 national public holidays, including Matariki, plus a regional anniversary day that depends on where your business is.

What does the Privacy Commissioner expect before we use AI?

Senior leadership sign-off, a check that the tool is necessary and proportionate, and a privacy impact assessment before it goes live.

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