Most of our Gisborne 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.
Built and supported here - the way a Gisborne business would actually use it.
Our goal is to give Gisborne businesses a three-day weekend, so people can spend more time with their families and the people they love :)
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
Without Kiwi Dynamics
With Kiwi Dynamics
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI photo tagging runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for Gisborne businesses first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How AI photo tagging compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Kiwi Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped and quoted up front |
What's different about doing this work in Gisborne.
- Tairāwhiti runs on horticulture, forestry, and tight-knit communities - AI here is about lightening admin so people stay on the land and the boat.
- Strong Māori economy, agriculture, and tourism shoulder peaks. AI tools that work offline and bilingually find a fast home here.
We work with teams across Gisborne: CBD · Kaiti · Mangapapa · Ruatoria · Wairoa.
Talk to us about this →
How we build AI photo tagging for a Gisborne team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Gisborne business, so value lands before the build is finished. AI vision + tagging.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing Gisborne businesses the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for Gisborne teams
The shape of the result for Gisborne teams: Photo admin time cut from hours per week to minutes. 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
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 a Gisborne - 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.
Anyone else in this space using AI photo tagging?
Plenty. Photo admin time cut from hours per week to minutes. 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.
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.
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.