Building companies · Applied AI

AI meeting notes that fits a building company's week, not the other way around.

There is a version of AI meeting notes that building companies buy off a shelf and quietly stop using inside a month. Then there's the version that's wired into your real workflow, owned by a person on your team, and still in use a year later. We only build the second 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

The building companies reality

What we keep hearing from NZ building companies.

  • 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 meeting notes 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 meeting capture.

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The outcome for building companies

If we build the right slice first, building companies feel the difference inside the first month. Saves managers ~5 hours a week on follow-up admin.

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

When does AI meeting notes actually pay back?

Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a building company – so the savings start landing before the rest of the build is finished.

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.

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.

Will this run on our own infrastructure?

Yes, where it makes sense. AI meeting notes can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Whisper, Claude, Recall.ai, Vercel but the architecture supports your existing platform choices.

The honest version of a sales call.

No deck. No discovery doc. Just whether this is worth building and what it would cost.

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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.