AI meeting notes designed around the way a Masterton team actually runs.

Our goal is to give Masterton businesses a three-day weekend, so people can spend more time with their families and the people they love :)

The reason we take on work in Masterton is that the businesses here tend to be sharper about what they want than the brief lets on. AI meeting notes for a Masterton team almost always ends up looking different to AI meeting notes for a downtown Auckland one.

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

What you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How AI meeting notes compares

The two things most businesses do instead, and where each one runs out.

 Hiring for itAn off-the-shelf toolKiwi Dynamics
Fit to how you workFits perfectly, costs a salaryYou bend your process to suit the toolBuilt around the workflow you already run
Time to something usefulImmediate, and permanentQuick to switch on, slow to make fitA working slice in weeks, then hardened
Who owns the dataYou doThe vendor, on the vendor's termsYou do, in your own accounts
When it breaksThat person sorts it, if they are inA support queue and a ticket numberThe people who built it
What it costsA salary, every year, foreverPer seat, forever, used or notScoped and quoted up front

The pattern across Masterton engagements we've shipped.

  • Wairarapa runs on agriculture, wine, and a thriving lifestyle-block community - AI here lets small operators run on bigger leverage.
  • Sheep and beef, viticulture, and a tourism flow from Wellington commuters. AI tools that respect rural broadband budgets land best.

We work with teams across Masterton: Masterton CBD · Carterton · Greytown · Featherston · Martinborough.

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How we build AI meeting notes for a Masterton team.

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

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How the work runs

The outcome for Masterton teams

Saves managers ~5 hours a week on follow-up admin. For Masterton teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.

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.

FAQ

What's the realistic timeline for AI meeting notes with a Masterton?

Most Masterton businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational - your team gets to use the thing well before the engagement is "done".

What does AI meeting notes cost for a Masterton?

Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.

Anyone else in this space using AI meeting notes?

Plenty. Saves managers ~5 hours a week on follow-up admin. The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the call.

What happens if we want to swap a vendor out later?

AI meeting notes is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Whisper, Claude, Recall.ai, Vercel are our defaults, but the build is intentionally portable.

One short call.

Tell us what you're trying to fix. We'll come back inside a working day.

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.