AI document processing that lives in your stack, not on a vendor's roadmap. Shipped from Taranaki.

Our goal is to give New Plymouth businesses a three-day weekend, so people can spend more time with their families and the people they love :)

The reason we take on work in New Plymouth is that the businesses here tend to be sharper about what they want than the brief lets on. AI document processing for a New Plymouth team almost always ends up looking different to AI document processing for a downtown Auckland one.

What AI document processing actually does

Scanned invoices, signed contracts, handwritten timesheets, PDF specs - extracted into clean data and routed where they belong. No more typing what someone already wrote.

  • 01 Vision models read scans, photos, and handwriting
  • 02 Pushes structured data into Xero, your CRM, or sheets
  • 03 Confidence flags route low-certainty docs to a human
  • 04 Handles te reo, bilingual forms, and old NZ templates

Built on: Claude Vision AWS Textract Mistral OCR Vercel

What you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How AI document processing compares

The two things most businesses do instead, and where each one runs out.

 Hiring for itAn off-the-shelf toolKiwi Dynamics
Fit to how you workFits perfectly, costs a salaryYou bend your process to suit the toolBuilt around the workflow you already run
Time to something usefulImmediate, and permanentQuick to switch on, slow to make fitA working slice in weeks, then hardened
Who owns the dataYou doThe vendor, on the vendor's termsYou do, in your own accounts
When it breaksThat person sorts it, if they are inA support queue and a ticket numberThe people who built it
What it costsA salary, every year, foreverPer seat, forever, used or notScoped and quoted up front

Our field notes from New Plymouth builds.

  • Taranaki runs on energy, dairy, and engineering - industries with sharp safety, compliance, and uptime stakes that suit AI well.
  • From offshore work to dairy processors to a strong local trades sector, New Plymouth teams want AI that earns its keep on the gnarly stuff.

We work with teams across New Plymouth: CBD · Bell Block · Waitara · Inglewood · Oakura · Hawera.

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How we build AI document processing for a New Plymouth team.

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

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How the work runs

The outcome for New Plymouth teams

Cuts data-entry labour by 80% on invoices, POs, and timesheets. For New Plymouth 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

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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.

Try the calculator

*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

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 New Plymouth 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 New Plymouth businesses?

Cuts data-entry labour by 80% on invoices, POs, and timesheets. We don't promise tenfold lifts because we don't see them outside of marketing decks.

What tools do you build AI document processing on?

For AI document processing we usually reach for Claude Vision, AWS Textract, Mistral OCR, Vercel. We're tool-agnostic at heart - we pick what your New Plymouth team can actually run after we hand the build over, not what looks good on a vendor sticker.

One reply, one direction.

We don't run sequences or follow-up automation. One useful answer, one decision on your side.

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.