AI fraud detection for optometrists.

AI fraud detection that fits an optometry practice's week, not the other way around.

Recalls that actually get bookedAI fraud + anomalyBuilt in New ZealandProduction AI, not slidewareHours back, not headcountRecalls that actually get bookedAI fraud + anomalyBuilt in New ZealandProduction AI, not slidewareHours back, not headcountRecalls that actually get bookedAI fraud + anomalyBuilt in New ZealandProduction AI, not slidewareHours back, not headcountRecalls that actually get bookedAI fraud + anomalyBuilt in New ZealandProduction AI, not slidewareHours back, not headcount

What we keep hearing from NZ optometry practices.

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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Eye test recalls, bookings and patient messages handled automatically, with patient information protected under the Privacy Act 2020.

Tell us about your week

Definitely not a 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 the work runs

We find the one workflow costing optometry practices the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.

To start, tell us about your week

Knows the New Zealand rules.

Checks invoices and changed bank details against the supplier you actually deal with, and flags anything that does not match before it is paid.

Serious breaches get reported
Data that stays in New Zealand
KiwiSaver now 3.5 per cent

Small crew or big organisation, the busywork is the same :)

The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.

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*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.

Small team.
Real systems.
Zero fluff.

What you get

If we build the right slice first, optometry practices feel the difference inside the first month.

Learns your normal patterns and flags outliers
Daily anomaly report, not a constant alert flood
Explainable scoring so you can act with confidence
Integrates with Xero, Shopify, and POS systems
No AI theatre
No annual contracts

Straight answers

How long does AI fraud detection take to ship for optometry practices?

We aim for a working pilot inside 4-6 weeks - narrow scope, real optometry practices 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.

Has this actually shipped for a real optometry practice?

Yes. Recovers 3-5x its cost in caught fraud within 6 months. We'll share comparable engagements on the call.

Who owns the code and the model setup?

You do, on delivery. We deploy AI fraud detection into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Claude sits in your account too - we don't operate it from ours.

Can the AI run on New Zealand-hosted cloud?

Yes, the options now exist. Microsoft opened a New Zealand cloud region in December 2024 and AWS followed in September 2025, both with local data residency.

What does the Privacy Commissioner expect before we use AI?

Senior leadership sign-off, a check that the tool is necessary and proportionate, and a privacy impact assessment before it goes live.

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