Built and supported here - the way a Griffith business would actually use it.

We've worked with enough operators in Griffith to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI photo tagging project is sit with your team for a day before we propose anything.

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 Griffith context, plainly.

  • Griffith is irrigated horticulture and wine in the Riverina, where water, season and freight decide the year.
  • Citrus, wine, rice and food processing built on the Murrumbidgee Irrigation Area, with a strong family-business culture. Compliance paperwork, freight coordination and multilingual customer contact are all real daily loads.

We work with teams across Griffith: Griffith CBD · Yoogali · Hanwood · Yenda · Leeton.

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How we build AI photo tagging for a Griffith team.

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

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The outcome for Griffith teams

We'd call the engagement a success when Griffith teams 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

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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

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 Griffith - so the savings start landing before the rest of the build is finished.

How do you price AI photo tagging engagements?

Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Griffith businesses are surprised how small the first cheque is.

What's the realistic outcome for Griffith businesses?

Photo admin time cut from hours per week to minutes. We don't promise tenfold lifts because we don't see them outside of marketing decks.

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.

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