Optometry practices · Applied AI

The version of AI content generation that optometry practices still use a year after launch.

When a optometry practice asks us about AI content generation, the first question we put back is the same one every time: which part of your week, if it disappeared, would change how you feel on a Friday? We start the build from that answer.

What AI content generation actually does

A content engine trained on your voice, not generic SaaS-speak. Service pages, blog posts, social captions, and email sequences that sound like you wrote them at 2am – but didn't.

  • 01 Voice and tone trained on your past content
  • 02 Built-in NZ-specific spelling, terms, and slang
  • 03 Auto-publishes to your CMS, scheduled across channels
  • 04 You approve before anything goes live

Built on: Claude Vercel AI SDK Sanity Buffer Ghost

The honest read

Where most optometry practices engagements actually deliver value.

  • Optometrists balance eye tests, recalls, and frame sales, with recall reminders often the first thing to slip.
  • Recall reminders and insurance or funding queries are the recurring admin load behind every optometry front desk.
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How we build AI content generation for optometry practices.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a optometry practice business, so value lands before the build is finished. AI content engine.

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The outcome for optometry practices

We'd call the engagement a success when optometry practices are using the system without thinking about us. Publishes 4x more content per week without adding headcount.

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 Kiwi Dynamics, that drops to about 52.

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

Questions

FAQ

What's a typical engagement length for optometry practices?

Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.

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.

Do you have proof this works for optometry practices?

Direct case study: Publishes 4x more content per week without adding headcount. Happy to walk you through full numbers on a call.

Can you work with our existing systems?

Yes. The default AI content generation stack we reach for is Claude, Vercel AI SDK, Sanity, Buffer, Ghost, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.

Skip the pitch.

Tell us the workflow and we'll come back with what we'd build first.

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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.