AI call summaries that lives in your stack, not on a vendor's roadmap. Shipped from Auckland.

Our goal is to give Auckland 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 Auckland is that the businesses here tend to be sharper about what they want than the brief lets on. AI call summaries for an Auckland 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

What we keep seeing in Auckland.

  • Auckland businesses move fast and pay the highest wages in the country - AI that automates real work pays back here before anywhere else.
  • From CBD professional services to West Auckland tradies and South Auckland manufacturers, the common thread is wage cost and labour scarcity. We build for that.

We work with teams across Auckland: CBD · North Shore · West Auckland · South Auckland · Manukau · Albany · Mt Eden · Newmarket.

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How we build AI call summaries for an Auckland team.

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

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How the work runs

The outcome for Auckland teams

What changes for Auckland teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. 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

How fast could we have AI call summaries in production?

Eight to ten weeks for most Auckland businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.

What's the smallest engagement you'd take on?

A two-week paid discovery for Auckland businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.

Anyone else in this space using AI call summaries?

Plenty. Sales coaching scales to every rep without doubling manager time. 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 if our Auckland doesn't have any data ready?

Most don't. Getting the data into shape - ingestion, cleaning, the lightweight contracts you need before any model is useful - is part of the engagement. For AI call summaries specifically, we typically run that work on Twilio, AssemblyAI, Claude, Vercel and assume messy starting conditions from day one.

One reply, one direction.

We don't run sequences or follow-up automation. One useful answer, one decision on your side.

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.