Roofing companies · Applied AI

For roofing companies who want results in weeks, not a year-long transformation programme.

Every roofing company business we've worked with has a different definition of "broken". AI staff training only earns its keep when it solves the specific definition you'd give it on a bad day – which is why our first call is mostly listening.

What AI staff training actually does

Turn your senior team's brain into interactive training. AI-generated lessons, practice scenarios, and on-the-job coaching that scales without burning out your best people.

  • 01 Auto-generates training modules from your SOPs
  • 02 Voice-based roleplay scenarios for sales and service teams
  • 03 Tracks competency and flags refresher needs
  • 04 Works offline on site or in the truck

Built on: Claude ElevenLabs Vercel AI SDK Mux Postgres

Sector context

Where roofing companies actually lose hours and dollars.

  • 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 staff training 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 training tools.

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The outcome for roofing companies

What changes for roofing companies after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. New-hire ramp-up cut from 12 weeks to 5 – measurable competency, not just attendance.

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 staff training 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. New-hire ramp-up cut from 12 weeks to 5 – measurable competency, not just attendance.

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 staff training specifically, we typically run that work on Claude, ElevenLabs, Vercel AI SDK, Mux, Postgres and assume messy starting conditions from day one.

Sketch this with us.

We'll map your real workflow before quoting anything.

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