We've worked with enough operators in Taupō 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.
Waikato · Applied AI
Built and supported here – the way a Taupō business would actually use it.
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
Waikato
The Taupō context, plainly.
- Taupō is tourism, geothermal, and a fast-growing retirement and lifestyle scene – businesses here juggle seasonal staff and high expectations.
- Hospitality, accommodation, adventure tourism, and trades supporting a building boom. AI helps the small-team operators look big.
We work with teams across Taupō: CBD · Acacia Bay · Kinloch · Turangi · Whakatane.
Talk to us about this →How we build AI knowledge base for a Taupō team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Taupō business, so value lands before the build is finished. Internal AI knowledge base.
Talk to usThe outcome for Taupō teams
What changes for Taupō 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. 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 Taupō businesses?
We aim for a working pilot inside 4-6 weeks – narrow scope, real Taupō 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.
Do you have proof this works for Taupō businesses?
Direct case study: New staff get to productive 3x faster – less senior-team interruption. Happy to walk you through full numbers on a call.
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.