There is a version of AI photo tagging that cleaning companies buy off a shelf and quietly stop using inside a month. Then there's the version that's wired into your real workflow, owned by a person on your team, and still in use a year later. We only build the second one.
AI photo tagging that fits a cleaning company's week, not the other way around.
Our goal is to give cleaning companies 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 cleaning companies 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 we keep hearing from NZ cleaning companies.
- Cleaning businesses run on recurring contracts and one-off quotes, both of which need fast, consistent follow-up to win.
- Quote turnaround and scheduling reliability are what most decide whether a cleaning company keeps a client past the first job.
How we build AI photo tagging for cleaning companies.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a cleaning company 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 cleaning companies 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 cleaning companies
If we build the right slice first, cleaning companies feel the difference inside the first month. 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
How long does AI photo tagging take to ship for cleaning companies?
We aim for a working pilot inside 4-6 weeks - narrow scope, real cleaning companies data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
Can you walk us through a comparable build?
Yes - on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Photo admin time cut from hours per week to minutes.
Who owns the code and the model setup?
You do, on delivery. We deploy AI photo tagging into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Claude Vision sits in your account too - we don't operate it from ours.
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.