Spend your time with your clients, not your calendar.
AI books the right stylist by WhatsApp and confirms before a no-show costs a chair.
Clients book with their usual stylist on WhatsApp.
Appointments by day — sample data
| Mon | 16 |
|---|---|
| Tue | 18 |
| Wed | 17 |
| Thu | 22 |
| Fri | 28 |
| Sat | 34 |
| Sun | 10 |
A dashboard with today’s appointments and no-shows.
| Time | Client | Stylist | Status |
|---|---|---|---|
| 4:30 PM | Client 1 | Stylist 1 | Confirmed |
| 5:00 PM | Client 2 | Stylist 1 | Confirmed |
| 5:15 PM | Client 3 | Stylist 2 | Pending |
| 6:00 PM | Client 4 | Stylist 2 | Cancelled |
Today’s appointments and stylist, in one table.
New booking
Guest 1 booked a fade cut with Stylist 3 for 11:30 am.
Gap filled
The AI agent filled a cancelled 4:00 pm chair with a waiting-list guest.
Reviews ready
Rebooking reminders were sent to today's six no-show-risk guests.
Push notifications for new bookings and schedule updates
Confirm Chair Reservation
Booking form auto-filled by the AI receptionist
Weekly booking performance — sample data
The AI agent handled 9 out of 10 booking requests without staff help.
Last-minute cancellations dropped by a third after automatic waitlist fills.
Weekly metrics showing bookings, occupancy, and response speed
A reminder goes out in time, freeing the chair for someone else.
A CFDI invoice goes out when a client asks for one.
We watch a normal week of appointments and pick what to build first.
We build it on your own booking calendar and adjust until your team uses it daily.
Documentation, training and full access — it’s yours to run.
Every style decision, every product choice and every exception for a client — those stay with your stylists. The agent handles bookings, reminders and the shopping list; it never decides what service to recommend.
No — we start from the system you already use and read from it. If it can’t connect, we’ll tell you at the first visit.
Yes — clients can book, reschedule or ask about a product on WhatsApp, and it also works on the web.
No. It books what the client asks for and relays what the stylist already recommended — it never decides on its own.
Yes — it reads the booking history you already keep and offers the same stylist first, where possible.
You do — it’s built on KOA, an open-source platform under an MIT licence. There are no licence fees; your team gets full documentation and access.
It depends on what is worth doing first. We agree the price after the first conversation, before any work starts, and there are no licence fees.
No. It’s made for one chair as easily as several, wherever someone already answers WhatsApp between clients.
This is an AI agent. A person at KOA Labs reads these conversations to reply. Please don’t share sensitive data.