AI chatbots in Whakatāne.
AI customer support – wired into a Whakatāne workflow, not bolted on the side.
What this is
AI customer support
Trained on your business, not Wikipedia. AI assistants that answer pricing, hours, availability, bookings – and escalate cleanly when the customer needs a human.
Handles 60-70% of routine enquiries without human input.
How it helps your Whakatāne team
What you actually get.
- Trained on your documents, FAQs, and past tickets
- Books appointments, takes deposits, qualifies leads
- Live hand-off to a human when needed
- Daily quality reports so you stay in control
Whakatāne businesses don't need another generic AI pitch. AI chatbots only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Bay of Plenty.
What changes for Whakatāne teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. Handles 60-70% of routine enquiries without human input.
What we keep seeing in Whakatāne.
Kiwifruit, aquaculture, marine tourism, and a strong iwi economy. AI tools that work offline and bilingually find their home here.
We work with teams in
What we build
AI chatbots, tailored to Whakatāne businesses.
- 01 Trained on your documents, FAQs, and past tickets
- 02 Books appointments, takes deposits, qualifies leads
- 03 Live hand-off to a human when needed
- 04 Daily quality reports so you stay in control
Common questions
Before you book the call.
How fast could we have AI chatbots in production? +
Eight to ten weeks for most Whakatāne businesses. 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 Whakatāne businesses 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.
Do you have proof this works for Whakatāne businesses? +
Direct case study: Handles 60-70% of routine enquiries without human input. Happy to walk you through full numbers on a call.
What if our Whakatāne 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 chatbots specifically, we typically run that work on Claude, OpenAI, Custom RAG pipelines and assume messy starting conditions from day one.
One reply, one direction.
We don't run sequences or follow-up automation. One useful answer, one decision on your side.
Back to the form ↑