Every dentist business we've worked with has a different definition of "broken". AI inbound sales 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-grade AI inbound sales, shipped by people who've done it before.
Our goal is to give dentists a three-day weekend, so people can spend more time with their families and the people they love :)
What AI inbound sales actually does
An AI agent that picks up every inbound enquiry the moment it lands - qualifies the lead, answers their questions with your real product knowledge, books the meeting, and only escalates the deals worth a human conversation. No more leads cooling off in the inbox overnight.
- 01 Instant reply on web forms, email, WhatsApp, and Facebook Messenger
- 02 Qualifies budget, timeline, decision-maker before booking a call
- 03 Trained on your actual sales playbook - not a generic chatbot
- 04 Books straight into the right rep's calendar with the right context
Built on: Claude / GPT-4 for conversation Cal.com or HubSpot Meetings Vector store of your sales collateral Slack alerts for hot leads
Without Kiwi Dynamics
With Kiwi Dynamics
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI inbound sales runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for dentists first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How AI inbound sales compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Kiwi Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped and quoted up front |
The pattern across most dentists we work with.
- 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 inbound sales 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. Every lead, instantly.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing dentists the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for dentists
We'd call the engagement a success when dentists are using the system without thinking about us. An NZ B2B services firm cut average response time from 7 hours to 90 seconds and lifted demo-booked rate by 41%.
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.
FAQ
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".
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 inbound sales?
Plenty. An NZ B2B services firm cut average response time from 7 hours to 90 seconds and lifted demo-booked rate by 41%. 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 tools do you build AI inbound sales on?
For AI inbound sales we usually reach for Claude / GPT-4 for conversation, Cal.com or HubSpot Meetings, Vector store of your sales collateral, Slack alerts for hot leads. We're tool-agnostic at heart - we pick what your dentist team can actually run after we hand the build over, not what looks good on a vendor sticker.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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.