Building companies · Applied AI

The version of AI call summaries that building companies still use a year after launch.

AI call summaries is overhyped at the macro level and underused at the workflow level. For a NZ building company, that gap is where the actual ROI lives – and where most of our work happens.

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

Field notes

What years of building for building companies taught us.

  • Builders run multiple sites at once, and the paperwork behind each one grows faster than anyone has time to manage.
  • Variations, supplier orders, and client updates are the admin layer that determines whether a build stays on schedule.
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How we build AI call summaries for building companies.

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

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The outcome for building companies

Sales coaching scales to every rep without doubling manager time. For building companies, 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.

Questions

FAQ

What's a typical engagement length for building companies?

Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.

Do you do hourly billing or fixed price?

Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.

Do you have proof this works for building companies?

Direct case study: Sales coaching scales to every rep without doubling manager time. Happy to walk you through full numbers on a call.

Can you work with our existing systems?

Yes. The default AI call summaries stack we reach for is Twilio, AssemblyAI, Claude, Vercel, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.

Worth a conversation?

Even if you don't end up working with us, you'll leave the call knowing what's worth building.

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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.