AI efficiency audit is overhyped at the macro level and underused at the workflow level. For a NZ dentist, that gap is where the actual ROI lives – and where most of our work happens.
Dentists · Applied AI
The version of AI efficiency audit that dentists still use a year after launch.
What AI efficiency audit actually does
A two-week audit that maps your team's actual time spend, finds the 5 highest-leverage AI plays, and ships the first one. No vapourware, no 80-slide decks – just one working thing.
- 01 Time-and-motion review of your top 5 workflows
- 02 Ranked AI opportunity list – ROI, effort, risk
- 03 One pilot shipped in week two, not a six-month roadmap
- 04 Fixed price, fixed scope, kept honest
Built on: Claude Notion Loom Linear Vercel
The dentists reality
What we keep hearing from NZ dentists.
- 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.
How we build AI efficiency audit for dentists.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a dentist business, so value lands before the build is finished. Find AI wins fast.
Talk to usThe outcome for dentists
The shape of the result for dentists: Average pilot saves 8 hours/week within 30 days of launch. Built on Claude, 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 efficiency audit take to ship for dentists?
We aim for a working pilot inside 4-6 weeks – narrow scope, real dentists 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.
What's the realistic outcome for dentists?
Average pilot saves 8 hours/week within 30 days of launch. We don't promise tenfold lifts because we don't see them outside of marketing decks.
Who owns the code and the model setup?
You do, on delivery. We deploy AI efficiency audit 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.
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.