Every cafe or restaurant business we've worked with has a different definition of "broken". AI receptionist 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.
Built for the cafe or restaurant who's already tried the off-the-shelf option and bounced off it.
Our goal is to give cafes and restaurants 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
Without Kiwi Dynamics
With Kiwi Dynamics
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 cafes and restaurants 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 |
The shape of every cafes and restaurant brief we've seen.
- Hospitality runs on thin margins where a missed booking, a bad review left unanswered, or a slow roster costs real money.
- Reservations, reviews, and rostering are the recurring admin that pulls owners off the floor.
How we build AI receptionist for cafes and restaurants.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a cafe or restaurant 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 cafes and restaurants 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 cafes and restaurants
The shape of the result for cafes and restaurants: Captures the 30-40% of enquiries that used to go to voicemail. Built on Vapi, hardened with the rest of the stack as it scales.
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
What's the realistic timeline for AI receptionist with a cafe or restaurant?
Most cafes and restaurants have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational - your team gets to use the thing well before the engagement is "done".
Is AI receptionist worth it for a smaller cafe or restaurant?
Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
Do you have proof this works for cafes and restaurants?
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.
What happens if we want to swap a vendor out later?
AI receptionist is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Vapi, Twilio, Claude, Cal.com, Stripe are our defaults, but the build is intentionally portable.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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.