Building companies · Applied AI

Building companies-grade AI customer feedback, shipped by people who've done it before.

Most building companies we talk to aren't short of dashboards or tools – they're short of an hour back in the week. That's the lens we put on AI customer feedback: not a tech showcase, but a careful look at the one or two workflows where a building company is paying for the same problem to be solved twice.

What AI customer feedback actually does

Every Google review, NPS survey, support ticket, and social mention pulled into one place – themed, scored, and ranked by impact. You finally see what customers actually complain about.

  • 01 Pulls reviews from Google, Facebook, Trade Me, your forms
  • 02 Auto-themes complaints and praise into trends
  • 03 Alerts you to a bad review before it goes viral
  • 04 Drafts public review responses in your voice

Built on: Claude Google Business API Trustpilot Vercel

Lay of the land

The two or three things that decide whether this works for 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 customer feedback 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 review and feedback.

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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. Star ratings up ~0.4 in 90 days from faster, on-brand responses.

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

How quickly can we see something running?

Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".

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

A two-week paid discovery for building companies 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 customer feedback?

Plenty. Star ratings up ~0.4 in 90 days from faster, on-brand responses. 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 tools do you build AI customer feedback on?

For AI customer feedback we usually reach for Claude, Google Business API, Trustpilot, Vercel. We're tool-agnostic at heart – we pick what your building company team can actually run after we hand the build over, not what looks good on a vendor sticker.

One short call.

Tell us what you're trying to fix. We'll come back inside a working day.

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