MCP integrations in Wānaka.

MCP integrations designed around the way a Wānaka team actually runs.

Ski fields, lake and a busy winterConnect Claude to your stackBuilt in New ZealandProduction AI, not slidewareWorking across OtagoSki fields, lake and a busy winterConnect Claude to your stackBuilt in New ZealandProduction AI, not slidewareWorking across OtagoSki fields, lake and a busy winterConnect Claude to your stackBuilt in New ZealandProduction AI, not slidewareWorking across OtagoSki fields, lake and a busy winterConnect Claude to your stackBuilt in New ZealandProduction AI, not slidewareWorking across Otago

Knows the New Zealand rules.

Connects AI to the systems you already run, like Xero, so it can look things up and act without copy and paste.

Xero, founded in New Zealand
Data that stays in New Zealand
ACC levies set by industry

Wānaka businesses gear up for ski season from June, then summer visitors. We automate rostering, bookings and guest messages so small teams handle big weeks.

Talk to us about Wānaka

How much is the admin really costing you?

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

With us

52 hrs

Without

468 hrs

Try the calculator

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

What Wānaka runs on.

Wānaka's visitor economy centres on its lakes, mountains and ski areas, Cardrona, Treble Cone and Snow Farm, which operate from June to October.

Lake Wanaka Tourism has more than 450 member businesses. Ski areas operate from June to October.

Talk to us about Wānaka

Definitely not a 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.

Small crew or big organisation, the busywork is the same :)

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.

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

The shape of the result for Wānaka teams: Existing AI tools become 10x more useful with real business context. Built on MCP, hardened with the rest of the stack as it scales. Kiwi Dynamics

Straight answers

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

MCP integrations 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. MCP, Claude, TypeScript, Vercel are our defaults, but the build is intentionally portable.

Is MCP integrations worth it for a smaller Wānaka?

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 timeline for MCP integrations with a Wānaka?

Most Wānaka 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".

Can you work to the NZISM?

The NZISM is the government's information security manual and is written for vendors serving agencies as well as the agencies themselves, so government-adjacent work should be built to it.

What does the Privacy Act 2020 mean for AI?

The same rules apply as for any system holding personal information. A breach that could cause serious harm must be reported to the Privacy Commissioner, who expects it within 72 hours.

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