AI call summaries designed around the way an Oamaru team actually runs.

Our goal is to give Oamaru 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 Oamaru is that the businesses here tend to be sharper about what they want than the brief lets on. AI call summaries for an Oamaru team almost always ends up looking different to AI call summaries for a downtown Auckland one.

What AI call summaries actually does

Every customer call recorded, transcribed, summarised, and coached. Managers spot what's working, reps see what to fix, and customers get follow-ups that actually reference what they said.

  • 01 Auto-summary into your CRM after every call
  • 02 Coaching scorecards for sales and support reps
  • 03 Detects compliance phrases (or missing ones)
  • 04 Searchable archive - find the call that mentioned X

Built on: Twilio AssemblyAI Claude Vercel

What you actually get

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

How AI call summaries 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 Oamaru engagements we've shipped.

  • North Otago blends historic tourism with strong primary industry - AI here is about doing more with the team you can keep.
  • Dairy, horticulture, heritage tourism, and a steady local trades sector. AI tools land well when they're practical and quiet.

We work with teams across Oamaru: Oamaru CBD · Weston · Waitaki · Kurow · Hampden.

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How we build AI call summaries for an Oamaru team.

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

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How the work runs

The outcome for Oamaru teams

We'd call the engagement a success when Oamaru teams are using the system without thinking about us. Sales coaching scales to every rep without doubling manager time.

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.

Try the calculator

*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 call summaries with an Oamaru?

Most Oamaru 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".

Is AI call summaries worth it for a smaller Oamaru?

Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.

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. Sales coaching scales to every rep without doubling manager time.

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

AI call summaries 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. Twilio, AssemblyAI, Claude, 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.