Built and supported here - the way an Auckland business would actually use it.

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

Most of our Auckland engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. AI photo tagging is then designed against the detail, not the shape.

What AI photo tagging actually does

Job-site photos, property listings, product shots, before/afters - auto-tagged, captioned, and filed in seconds. Search your photo library like it's a database.

  • 01 Auto-tag with content, room, defect, or product type
  • 02 Generates listing captions and alt text for SEO
  • 03 Detects safety hazards in site photos
  • 04 Filing into your DAM, project tool, or Drive

Built on: Claude Vision Replicate Cloudinary Vercel

What you actually get

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

How AI photo tagging 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

What's different about doing this work in Auckland.

  • Auckland businesses move fast and pay the highest wages in the country - AI that automates real work pays back here before anywhere else.
  • From CBD professional services to West Auckland tradies and South Auckland manufacturers, the common thread is wage cost and labour scarcity. We build for that.

We work with teams across Auckland: CBD · North Shore · West Auckland · South Auckland · Manukau · Albany · Mt Eden · Newmarket.

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How we build AI photo tagging for an Auckland team.

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

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How the work runs

The outcome for Auckland teams

Photo admin time cut from hours per week to minutes. For Auckland 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

When does AI photo tagging actually pay back?

Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for an Auckland - so the savings start landing before the rest of the build is finished.

Do you do hourly billing or fixed price?

Fixed price for the pilot, every time. After that it's your call - fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.

Has this actually shipped for a real Auckland?

Yes. Photo admin time cut from hours per week to minutes. We'll share comparable engagements on the call.

Will this run on our own infrastructure?

Yes, where it makes sense. AI photo tagging can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude Vision, Replicate, Cloudinary, Vercel but the architecture supports your existing platform choices.

The honest version of a sales call.

No deck. No discovery doc. Just whether this is worth building and what it would cost.

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.