AI HR assistant for optometrists.
The version of AI HR assistant that optometry practices still use a year after launch.
Eye test recalls, bookings and patient messages handled automatically, with patient information protected under the Privacy Act 2020.
What AI HR assistant actually does
An AI HR assistant trained on your policies, awards, and the Employment Relations Act. With the right workflow automated, nine hours of admin a week could drop to about one.*
*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual results vary by workflow and business.
Definitely not a typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
How much is the admin really costing you?
Nine hours a week of admin is 468 hours a year. That could drop to about 52.*
*Illustrative, based on 9 hours a week of admin at a typical 80% automation rate. The calculator uses your own numbers.
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.
From one-person trades to national organisations, we find the hours :)
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.
*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
We'd call the engagement a success when optometry practices are using the system without thinking about us.
- Answers leave, pay, and policy questions 24/7
- Drafts contracts, warnings, and PIPs from templates
- Screens CVs against role criteria with reasoning
- Flags ER risks before they become disputes
- No annual contracts
- No AI theatre
Good questions, answered
Can you work with our existing systems?
Yes. The default AI HR assistant stack we reach for is Claude, Employment Hero API, BambooHR, Vercel, 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.
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 work with Xero?
Yes. Xero is one of the systems we build around, and we connect to the other tools you already run rather than asking you to switch.
Can AI help with payday filing?
It can prepare it. Employers file employment information every payday, within 2 working days when filing electronically, and automation can have it ready for a person to check.
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