AI photo tagging designed around the way a Broome team actually runs.

Broome businesses don't need another generic AI pitch. AI photo tagging only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Western Australia.

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

The pattern across Broome engagements we've shipped.

  • Broome is Kimberley tourism and pearling, with a dry-season economy that has to earn a full year in six months.
  • Tourism, pearling, Indigenous enterprise and remote services across an enormous region. The wet season shuts much of it down, so peak-season capacity is the whole commercial question.

We work with teams across Broome: Broome CBD · Cable Beach · Old Broome · Bilingurr · Derby.

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How we build AI photo tagging for a Broome team.

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

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The outcome for Broome teams

Photo admin time cut from hours per week to minutes. For Broome 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 Koala Dynamics, that drops to about 52.

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

FAQ

How fast could we have AI photo tagging in production?

Eight to ten weeks for most Broome businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.

What's the smallest engagement you'd take on?

A two-week paid discovery for Broome 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.

Has this actually shipped for a real Broome?

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

What if our Broome doesn't have any data ready?

Most don't. Getting the data into shape - ingestion, cleaning, the lightweight contracts you need before any model is useful - is part of the engagement. For AI photo tagging specifically, we typically run that work on Claude Vision, Replicate, Cloudinary, Vercel and assume messy starting conditions from day one.

Sketch this with us.

We'll map your real workflow before quoting anything.

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Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.