Every nursing assistants team we've worked with has a different definition of "broken". AI only earns its keep when it solves the specific definition you'd give it on a bad day – which is why our first call is mostly listening.
AI by role · New Zealand & Australia
AI that gives nursing assistants their time back, not another dashboard.
By the numbers
0.02% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026). For context, Australia's overall AI usage sits at 4.11× its expected level and Canada at 4.37× (with Singapore leading at 5.53×) — adoption is already well ahead of the curve, so the edge goes to whoever turns it into a concrete workflow first.
Nursing Assistants sits within Healthcare Support, one of the sectors we build production AI for.
Without Kiwi Dynamics
With Kiwi Dynamics
Where AI helps
What changes for nursing assistants week to week.
- Handle bookings, recalls and reminders.
- Answer common patient questions.
- Draft intake and summaries.
- Reduce phone and paperwork time.
How we build AI for nursing assistants.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your team, so value lands before the build is finished. The durable wins augment a person rather than replace them — a human approves anything that matters.
Talk to usThe outcome for Nursing Assistants
The shape of the result for Nursing Assistants: 0.02% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) Built on Handle bookings, recalls and reminders, hardened with the rest of the stack as it scales.
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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions
FAQ
How long does AI take to ship for Nursing Assistants?
We aim for a working pilot inside 4-6 weeks – narrow scope, real Nursing Assistants 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.
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.
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. 0.02% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026)
Who owns the code and the model setup?
You do, on delivery. We deploy AI into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Handle bookings, recalls and reminders sits in your account too – we don't operate it from ours.
Worth a conversation?
Even if you don't end up working with us, you'll leave the call knowing what's worth building.
Get in touch
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.