The version of AI call summaries that real estate agencies still use a year after launch.

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

When a real estate agency asks us about AI call summaries, the first question we put back is the same one every time: which part of your week, if it disappeared, would change how you feel on a Friday? We start the build from that answer.

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 hearing from NZ real estate agencies.

  • Agents live on their phones between open homes, listing enquiries, and vendor updates that can't wait until Monday.
  • Lead response speed decides who gets the listing, and most agencies lose leads simply because nobody replied fast enough.
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How we build AI call summaries for real estate agencies.

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

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How the work runs

The outcome for real estate agencies

Sales coaching scales to every rep without doubling manager time. For real estate agencies, 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

How long does AI call summaries take to ship for real estate agencies?

We aim for a working pilot inside 4-6 weeks - narrow scope, real real estate agencies 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.

How do you price AI call summaries engagements?

Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most real estate agencies are surprised how small the first cheque is.

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.

Who owns the code and the model setup?

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

Skip the pitch.

Tell us the workflow and we'll come back with what we'd build first.

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.