AI and machine learning in Kaikōura.
Most teams do not need a bigger model, they need one wired into the system where the work already happens.
What Kaikōura runs on.
Tourism, directly and indirectly, is the major contributor to Kaikōura's GDP, built on whales, the coastline and crayfish, alongside the district's fishing and farming heritage.
A deep undersea canyon brings Giant Sperm Whales close to the coast, and Whale Watch has run since 1987.
Kaikōura welcomes around a million visitors a year. We automate bookings, enquiries and reviews so small teams keep up with big seasons.
What AI and machine learning means here
The core of what we build. Models that read your documents, answer in your own language and take the repetitive work off your team, running against your systems rather than a demo dataset.
- Agents that work inside your existing tools, not beside them
- Retrieval over your own documents, with the source cited on every answer
- Fine tuning and evaluation against tasks your team actually does
- Human review on anything that leaves the building
How the work runs
We find the one workflow costing Kaikōura businesses the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.
Built differently, on purpose.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
On the tools or running at scale, the admin still eats the week :)
Quotes with GST, consent paperwork, LBP records and health and safety logs: the admin every New Zealand trade business carries.
*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.
Questions Kaikōura businesses ask
What does this look like for a Kaikōura business?
Kaikōura runs on whale-watching, hospitality, and fishing - AI here means handling spikes, language mix, and the weather changing the plan. We scope one workflow, ship it to production, and prove the return before expanding.
Do you actually work on AI and machine learning?
The core of what we build. Models that read your documents, answer in your own language and take the repetitive work off your team, running against your systems rather than a demo dataset.
Where do you start?
With the workflow costing the most time or the most leads. Most teams do not need a bigger model, they need one wired into the system where the work already happens.
Does it keep up with KiwiSaver changes?
It has to. The minimum employer contribution rose to 3.5 per cent on 1 April 2026 and rises to 4 per cent on 1 April 2028.
Can it remind us about the annual return?
Yes. Every company must file an annual return with the Companies Office each year, separate from its tax return.
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