Otago · Applied AI

AI quoting designed around the way a Queenstown team actually runs.

Queenstown sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers – none of those are details our default AI quoting template would catch.

What AI quoting actually does

Customers send a photo, a brief, or a voicemail – AI drafts a structured quote in your pricing format. You review, tweak, send. Quotes go out the same day, not next week.

  • 01 Reads photos, voice notes, emails, and PDFs
  • 02 Uses your pricing rules and current material costs
  • 03 Drafts in your branded template, ready to send
  • 04 Tracks win/loss to make the next quote sharper

Built on: Claude Vision Whisper Xero Vercel

Otago

Our field notes from Queenstown builds.

  • Queenstown's economy is tourism on rails – peak season is chaos, shoulder season is brutal. AI smooths both.
  • Hospitality, accommodation, adventure operators, and a tight labour pool that empties every winter. AI here means coverage when staff can't be hired.

We work with teams across Queenstown: CBD · Frankton · Arrowtown · Jack's Point · Arthurs Point · Wanaka.

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How we build AI quoting for a Queenstown team.

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

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The outcome for Queenstown teams

The shape of the result for Queenstown teams: Quote turnaround drops from days to under an hour. Built on Claude Vision, hardened with the rest of the stack as it scales.

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

How quickly can we see something running?

Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".

What's the smallest engagement you'd take on?

A two-week paid discovery for Queenstown 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.

Anyone else in this space using AI quoting?

Plenty. Quote turnaround drops from days to under an hour. 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.

What tools do you build AI quoting on?

For AI quoting we usually reach for Claude Vision, Whisper, Xero, Vercel. We're tool-agnostic at heart – we pick what your Queenstown team can actually run after we hand the build over, not what looks good on a vendor sticker.

One short call.

Tell us what you're trying to fix. We'll come back inside a working day.

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