When a landscaping business asks us about AI receptionist, the first question we put back is the same one every time: which part of your week, if it disappeared, would change how you feel on a Friday? We start the build from that answer.
24/7 AI front desk, built around how a landscaping business actually works.
Our goal is to give landscaping businesses a three-day weekend, so people can spend more time with their families and the people they love :)
What AI receptionist actually does
A 24/7 AI receptionist that answers calls and chats, books appointments, takes deposits, and routes urgent issues to a real human. Sounds Kiwi. Doesn't fumble names.
- 01 Voice + chat, both trained on your business
- 02 Knows your services, prices, and availability
- 03 Books direct into your calendar - no double-bookings
- 04 After-hours coverage with morning summary email
Built on: Vapi Twilio Claude Cal.com Stripe
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI receptionist runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for landscaping businesses first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How AI receptionist compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Kiwi Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped and quoted up front |
What years of building for landscaping businesses taught us.
- 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 receptionist 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. 24/7 AI front desk.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing landscaping businesses the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for landscaping businesses
Captures the 30-40% of enquiries that used to go to voicemail. 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.
FAQ
How long does AI receptionist take to ship for landscaping businesses?
We aim for a working pilot inside 4-6 weeks - narrow scope, real landscaping businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.
How do you price AI receptionist engagements?
Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most landscaping businesses are surprised how small the first cheque is.
Do you have proof this works for landscaping businesses?
Direct case study: Captures the 30-40% of enquiries that used to go to voicemail. Happy to walk you through full numbers on a call.
Who owns the code and the model setup?
You do, on delivery. We deploy AI receptionist into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Vapi sits in your account too - we don't operate it from ours.
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.