The version of AI receptionist that works for a Whangārei business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates – usually with fewer parts than the off-the-shelf pitch.
What AI receptionist actually does
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.
- 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
Built on: Vapi Twilio Claude Cal.com Stripe
Northland
Where Whangārei operators actually lose hours.
- Northland is geographically wide and connectivity-thin – AI here means tools that work in a ute with patchy signal.
- Agriculture, marine, tourism, and trades across a wide region. AI lands when it works offline and respects the kilometres between sites.
We work with teams across Whangārei: CBD · Onerahi · Kamo · Tikipunga · Kerikeri · Dargaville.
Talk to us about this →How we build AI receptionist for a Whangārei team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Whangārei business, so value lands before the build is finished. 24/7 AI front desk.
Talk to usThe outcome for Whangārei teams
The shape of the result for Whangārei 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.
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 receptionist take to ship for Whangārei businesses?
We aim for a working pilot inside 4-6 weeks – narrow scope, real Whangārei businesses 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.
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.
Who owns the code and the model setup?
You do, on delivery. We deploy AI receptionist into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Vapi 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.