Every dentist business we've worked with has a different definition of "broken". AI customer feedback 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.
Dentists · Applied AI
Dentists-grade AI customer feedback, shipped by people who've done it before.
What AI customer feedback actually does
Every Google review, NPS survey, support ticket, and social mention pulled into one place – themed, scored, and ranked by impact. You finally see what customers actually complain about.
- 01 Pulls reviews from Google, Facebook, Trade Me, your forms
- 02 Auto-themes complaints and praise into trends
- 03 Alerts you to a bad review before it goes viral
- 04 Drafts public review responses in your voice
Built on: Claude Google Business API Trustpilot Vercel
Without Kiwi Dynamics
With Kiwi Dynamics
Sector context
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.
How we build AI customer feedback 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. AI review and feedback.
Talk to usThe outcome for dentists
The shape of the result for dentists: Star ratings up ~0.4 in 90 days from faster, on-brand responses. 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 fast could we have AI customer feedback in production?
Eight to ten weeks for most dentists. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on?
A two-week paid discovery for dentists that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Anyone else in this space using AI customer feedback?
Plenty. Star ratings up ~0.4 in 90 days from faster, on-brand responses. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.
What if our dentist doesn't have any data ready?
Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI customer feedback specifically, we typically run that work on Claude, Google Business API, Trustpilot, Vercel and assume messy starting conditions from day one.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
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.