Landscaping businesses · Applied AI

Landscaping businesses-grade AI chatbots, shipped by people who've done it before.

Every landscaping business business we've worked with has a different definition of "broken". AI chatbots 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 chatbots actually does

Trained on your business, not Wikipedia. AI assistants that answer pricing, hours, availability, bookings – and escalate cleanly when the customer needs a human.

  • 01 Trained on your documents, FAQs, and past tickets
  • 02 Books appointments, takes deposits, qualifies leads
  • 03 Live hand-off to a human when needed
  • 04 Daily quality reports so you stay in control

Built on: Claude OpenAI Custom RAG pipelines

What gets in the way

The friction landscaping businesses hit that other industries don't.

  • Landscapers quote big jobs from a site visit and small jobs from a phone call, and both processes usually run on paper.
  • Seasonal demand and slow quoting are the two things that most limit how much work a landscaping business can take on.
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How we build AI chatbots for landscaping businesses.

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

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The outcome for landscaping businesses

What changes for landscaping businesses 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. Handles 60-70% of routine enquiries without human input.

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 landscaping businesses 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 chatbots?

Plenty. Handles 60-70% of routine enquiries without human input. 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 chatbots on?

For AI chatbots we usually reach for Claude, OpenAI, Custom RAG pipelines. We're tool-agnostic at heart – we pick what your landscaping business 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.