Bay of Plenty · Applied AI

Built and supported here – the way a Whakatāne business would actually use it.

We've worked with enough operators in Whakatāne 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 meeting notes project is sit with your team for a day before we propose anything.

What AI meeting notes actually does

Every call, site visit, or toolbox talk captured, summarised, and turned into action items in your CRM or project tool. No more 'who was meant to do that?'.

  • 01 Works on Teams, Zoom, Meet, or in-person recordings
  • 02 Action items auto-pushed to ClickUp, Asana, or Jira
  • 03 Searchable history across every meeting your team holds
  • 04 Confidentiality controls – what stays internal, stays

Built on: Whisper Claude Recall.ai Vercel

Bay of Plenty

The Whakatāne context, plainly.

  • Eastern Bay of Plenty runs on horticulture, aquaculture, and Māori-led enterprise – AI here works when it respects relationships first.
  • Kiwifruit, aquaculture, marine tourism, and a strong iwi economy. AI tools that work offline and bilingually find their home here.

We work with teams across Whakatāne: Whakatāne · Ōhope · Kawerau · Edgecumbe · Murupara · Ōpōtiki.

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How we build AI meeting notes for a Whakatāne team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Whakatāne business, so value lands before the build is finished. AI meeting capture.

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The outcome for Whakatāne teams

If we build the right slice first, Whakatāne teams feel the difference inside the first month. Saves managers ~5 hours a week on follow-up admin.

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

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

Questions

FAQ

What's a typical engagement length for Whakatāne businesses?

Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.

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 Whakatāne businesses?

Direct case study: Saves managers ~5 hours a week on follow-up admin. Happy to walk you through full numbers on a call.

Can you work with our existing systems?

Yes. The default AI meeting notes stack we reach for is Whisper, Claude, Recall.ai, Vercel, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.

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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.