AI receptionist in Whanganui.
Built and supported here – the way a Whanganui business would actually use it.
What this is
24/7 AI front desk
A 24/7 AI receptionist that answers calls and chats, books appointments, takes deposits, and routes urgent issues to a real human. Sounds Kiwi. Doesn't fumble names.
Captures the 30-40% of enquiries that used to go to voicemail.
How it helps your Whanganui team
What you actually get.
- Voice + chat, both trained on your business
- Knows your services, prices, and availability
- Books direct into your calendar – no double-bookings
- After-hours coverage with morning summary email
Most of our Whanganui engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. AI receptionist is then designed against the detail, not the shape.
The shape of the result for Whanganui teams: Captures the 30-40% of enquiries that used to go to voicemail. Built on Vapi, hardened with the rest of the stack as it scales.
Why Whanganui businesses are a fit for this.
Tourism, creative industries, and a growing remote-work population. AI tools that scale a small team's reach without enterprise overhead win.
We work with teams in
What we build
AI receptionist, tailored to Whanganui businesses.
- 01 Voice + chat, both trained on your business
- 02 Knows your services, prices, and availability
- 03 Books direct into your calendar – no double-bookings
- 04 After-hours coverage with morning summary email
Common questions
Before you book the call.
What's a typical engagement length for Whanganui businesses? +
Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.
Do you do hourly billing or fixed price? +
Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.
Anyone else in this space using AI receptionist? +
Plenty. Captures the 30-40% of enquiries that used to go to voicemail. 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.
Can you work with our existing systems? +
Yes. The default AI receptionist stack we reach for is Vapi, Twilio, Claude, Cal.com, Stripe, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.
Skip the pitch.
Tell us the workflow and we'll come back with what we'd build first.
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