Every landscaping business business we've worked with has a different definition of "broken". AI agents 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.
Landscaping businesses · Applied AI
Built for the landscaping business who's already tried the off-the-shelf option and bounced off it.
What AI agents actually does
Autonomous AI agents that don't just answer – they get things done. They check inventory, draft proposals, file paperwork, and chase quotes while your team focuses on the human work.
- 01 Goal-driven agents that complete multi-step tasks
- 02 Connect to your tools – Xero, HubSpot, Gmail, Slack, your CRM
- 03 Human-in-the-loop checkpoints for anything risky
- 04 Full audit log of every action the agent takes
Built on: Claude Agent SDK OpenAI Agents LangGraph n8n MCP
Without Kiwi Dynamics
With Kiwi Dynamics
From the trenches
The shape of every landscaping businesse brief we've seen.
- 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.
How we build AI agents 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 agents that do work.
Talk to usThe outcome for landscaping businesses
Replaces 15+ hours of weekly back-office work per agent deployed. For landscaping businesses, 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions
FAQ
How fast could we have AI agents in production?
Eight to ten weeks for most landscaping businesses. 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 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.
What's the realistic outcome for landscaping businesses?
Replaces 15+ hours of weekly back-office work per agent deployed. We don't promise tenfold lifts because we don't see them outside of marketing decks.
What if our landscaping business 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 agents specifically, we typically run that work on Claude Agent SDK, OpenAI Agents, LangGraph, n8n, MCP and assume messy starting conditions from day one.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.