Roofing companies · Applied AI

Built for the roofing company who's already tried the off-the-shelf option and bounced off it.

Most roofing 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 roofing 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 roofing companies.

  • Roofers quote off photos, chase weather windows, and juggle insurance jobs that all move at different speeds.
  • Fast, accurate quoting from a photo is the single biggest lever for a roofing business's close rate.
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How we build AI customer feedback for roofing companies.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a roofing company business, so value lands before the build is finished. AI review and feedback.

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The outcome for roofing companies

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

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".

Is AI customer feedback worth it for a smaller roofing company?

Often, yes – and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.

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 roofing company team can actually run after we hand the build over, not what looks good on a vendor sticker.

One reply, one direction.

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

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