MCP integrations in Whakatāne.
Connect Claude to your stack, built for businesses operating in Whakatāne.
Definitely not a typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Dairy, kiwifruit, forestry and manufacturing keep the Eastern Bay busy. We automate the rosters, supplier invoices and compliance records that pile up at harvest.
What Whakatāne runs on.
The Rangitāiki Plains support intensive dairy farming and horticulture including kiwifruit, avocados and citrus, forestry is a major industry, and manufacturing remains a cornerstone of the district.
The Whakatāne District is widely known as one of New Zealand's food baskets. Kiwifruit picking and packhouse work run from about March to mid-June.
From one-person trades to national organisations, we find the hours :)
The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.
*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.
How the work runs
We find the one workflow costing Whakatāne 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 around how New Zealand works.
Connects AI to the systems you already run, like Xero, so it can look things up and act without copy and paste.
- Xero, founded in New Zealand
- ACC levies set by industry
- 11 public holidays, plus yours
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. Kiwi Dynamics
Straight answers
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.
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.
How does this fit the Public Service AI Framework?
The framework, led by the Government Chief Digital Officer, asks for safe, transparent and accountable AI. Agencies that sign the Algorithm Charter also commit to transparency in how they use algorithms.
What does the Privacy Commissioner expect before we use AI?
Senior leadership sign-off, a check that the tool is necessary and proportionate, and a privacy impact assessment before it goes live.
Let's chat
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