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 HR assistant: 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 HR assistant actually does

An AI HR assistant trained on your policies, awards, and the Employment Relations Act. Answers staff questions, drafts contracts, screens applicants, and flags HR risk – without replacing your people lead.

  • 01 Answers leave, pay, and policy questions 24/7
  • 02 Drafts contracts, warnings, and PIPs from templates
  • 03 Screens CVs against role criteria with reasoning
  • 04 Flags ER risks before they become disputes

Built on: Claude Employment Hero API BambooHR Vercel

From the trenches

The shape of every roofing companie brief we've seen.

  • 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 HR assistant 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 HR and people ops.

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The outcome for roofing companies

If we build the right slice first, roofing companies feel the difference inside the first month. HR enquiries drop 65% in the first month – leaders get their week back.

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 fast could we have AI HR assistant in production?

Eight to ten weeks for most roofing companies. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.

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

A two-week paid discovery for roofing 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.

Can you walk us through a comparable build?

Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. HR enquiries drop 65% in the first month – leaders get their week back.

What if our roofing company doesn't have any data ready?

Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI HR assistant specifically, we typically run that work on Claude, Employment Hero API, BambooHR, Vercel and assume messy starting conditions from day one.

Twenty minutes, your call.

You describe what's broken. We'll tell you what we'd actually do about it.

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