Bay of Plenty · Applied AI

Connect Claude to your stack, built for businesses operating in Whakatāne.

The version of MCP integrations that works for a Whakatāne business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates – usually with fewer parts than the off-the-shelf pitch.

What MCP integrations actually does

Wire Claude, ChatGPT, or Gemini directly into your tools with the Model Context Protocol. Your team uses AI in their existing inbox, CRM, or chat – with your data, your permissions, your guardrails.

  • 01 Custom MCP servers for your CRM, ERP, or in-house tools
  • 02 Permission-aware so AI only sees what each user can
  • 03 Tool-call audit log for compliance
  • 04 Works with Claude Desktop, ChatGPT, Cursor, and more

Built on: MCP Claude TypeScript 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 MCP integrations 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. Connect Claude to your stack.

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The outcome for Whakatāne teams

We'd call the engagement a success when Whakatāne teams are using the system without thinking about us. Existing AI tools become 10x more useful with real business context.

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

How long does MCP integrations take to ship for Whakatāne businesses?

We aim for a working pilot inside 4-6 weeks – narrow scope, real Whakatāne 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. Existing AI tools become 10x more useful with real business context.

Who owns the code and the model setup?

You do, on delivery. We deploy MCP integrations into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. MCP sits in your account too – we don't operate it from ours.

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