We've worked with enough operators in Kaikōura to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI knowledge base project is sit with your team for a day before we propose anything.
Canterbury · Applied AI
For Kaikōura operators who want a working pilot in weeks, not a year-long programme.
What AI knowledge base actually does
Your team's tribal knowledge, finally searchable. Upload your SOPs, training videos, past emails, and Slack threads – your team asks questions and gets answers with citations.
- 01 Ingests PDFs, Word docs, videos, Slack, Notion, Drive
- 02 Answers with citations back to source documents
- 03 Permission-aware – staff only see what they should
- 04 Detects stale docs and prompts owners to update
Built on: Claude Pinecone Vercel AI SDK Postgres MCP
Without Kiwi Dynamics
With Kiwi Dynamics
Canterbury
The Kaikōura context, plainly.
- Kaikōura runs on whale-watching, hospitality, and fishing – AI here means handling spikes, language mix, and the weather changing the plan.
- Marine tourism, accommodation, hospitality, and a tight local services sector. AI tools that speak multiple languages and handle weather pivots earn keep.
We work with teams across Kaikōura: Kaikōura township · South Bay · Hapuku · Oaro · Clarence.
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How we build AI knowledge base for a Kaikōura team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Kaikōura business, so value lands before the build is finished. Internal AI knowledge base.
Talk to usThe outcome for Kaikōura teams
If we build the right slice first, Kaikōura teams feel the difference inside the first month. New staff get to productive 3x faster – less senior-team interruption.
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 knowledge base take to ship for Kaikōura businesses?
We aim for a working pilot inside 4-6 weeks – narrow scope, real Kaikōura 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.
Can you walk us through a comparable build?
Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. New staff get to productive 3x faster – less senior-team interruption.
Who owns the code and the model setup?
You do, on delivery. We deploy AI knowledge base into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Claude sits in your account too – we don't operate it from ours.
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.