Electrical contractors are some of the most efficient operators in New Zealand - which means the easy wins from AI photo tagging are usually already taken. The brief we accept is the one focused on the workflow you've tried to fix twice and given up on.
For electrical contractors who want results in weeks, not a year-long transformation programme.
Our goal is to give electrical contractors 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
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 electrical contractors 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 |
The two or three things that decide whether this works for electrical contractors.
- Electricians juggle callouts, compliance certificates, and quoting, usually from the front seat of a van.
- Certificates of compliance and quote turnaround are where electrical businesses either look professional or lose the job.
How we build AI photo tagging for electrical contractors.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for an electrical contractor 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 electrical contractors 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 electrical contractors
We'd call the engagement a success when electrical contractors are using the system without thinking about us. Photo admin time cut from hours per week to minutes.
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
What's the realistic timeline for AI photo tagging with an electrical contractor?
Most electrical contractors 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".
Is AI photo tagging worth it for a smaller electrical contractor?
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.
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.
What happens if we want to swap a vendor out later?
AI photo tagging 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. Claude Vision, Replicate, Cloudinary, Vercel are our defaults, but the build is intentionally portable.
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.