Semantic search (RAG) for dentists.
Dentists-grade semantic search (RAG), shipped by people who've done it before.
Built differently, on purpose.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Recalls, bookings and patient messages handled automatically, with patient information protected under the Privacy Act 2020.
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.
*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.
Where dentists actually lose hours and dollars.
Dental practices live and die by a full chair and a clean recall list, and both take constant admin to keep on track.
No-shows, insurance queries, and recall reminders are the recurring admin load behind every dental front desk.
Made for New Zealand paperwork.
Ask questions across your manuals, contracts and records and get answers with the source attached, not a guess.
- Serious breaches get reported
- NZISM for government work
- 11 public holidays, plus yours
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 changes for dentists after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. Average search time drops from 6 minutes to 12 seconds. Kiwi Dynamics
Good questions, answered
Is semantic search (RAG) worth it for a smaller dentist?
Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
Can you walk us through a comparable build?
Yes - on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Average search time drops from 6 minutes to 12 seconds.
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
How does this fit the Public Service AI Framework?
The framework, led by the Government Chief Digital Officer, asks for safe, transparent and accountable AI. Agencies that sign the Algorithm Charter also commit to transparency in how they use algorithms.
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.
Talk to us about semantic search (RAG)
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Tell us what you're trying to do and we'll reply with how we'd build it, no obligation.
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