AI appointment booking on WhatsApp, web chat and the phone, with reminders and confirmations

Booking an appointment looks simple, but in practice it is a chain of messages: when suits you, that time is taken, how about tomorrow, which branch. Each message involves a wait, and each wait is a chance for the customer to book somewhere else. When the receptionist is busy with someone standing in front of them, the wait grows longer.

The digital employee shortens the chain to one conversation of a minute or two, at any hour. It offers times that are actually open, fixes the choice and sends the confirmation. What remains for reception is the customer in front of them and the cases that need judgement.

We write the flow with your reception staff, because they know what customers really ask and what makes a booking right the first time. One rule never changes: the digital employee does not say “you’re booked” until the system has fixed the booking.

A reminder is a message the business starts, so on WhatsApp it is sent as a template Meta has approved, to customers who agreed to receive messages. We write the templates with you and submit them for approval during the build, and we place the customer’s clear consent to reminders in the booking form or in the conversation itself.

We agree the timing with you: a reminder the day before, for example, and another a few hours ahead. If the customer replies that they cannot come, the appointment is cancelled or rescheduled in the same conversation. On the phone, the digital employee can call to remind within the hours you set, and it introduces itself as an automated assistant from the start of the call.

The most accurate bookings come from a single source of times. If you have a booking or management system that offers an interface, we connect the digital employee to it, and it reads availability and writes the booking directly. If the system does not allow that, we start with a shared calendar, or build a simple booking system that fits the way you work.

When a direct connection is not possible at first, the digital employee works in “booking request” mode: it collects the details, sends them to reception, and tells the customer plainly that the confirmation will follow shortly. That is slower, but more honest than confirming a booking that was never recorded.

It does not override the cancellation policy, open a slot outside the schedule, promise a specialist who is not available, or give professional advice in place of an appointment. In healthcare settings it neither diagnoses nor prescribes. It gives the approved wording for urgent cases and hands over at once.

A person takes the booking when the customer asks for an exception, when the request combines several services that need coordinating, or when the request is still unclear after two attempts. Because a wrong appointment is costly, we test the digital employee before launch on real booking messages from your archive, including dates written the way people actually write them, such as “tomorrow afternoon” and “next Thursday” in dialect.

The demo page opens on a fictional sample business that takes bookings. Ask for an appointment in your own words, change your mind and ask for another time, then cancel it. Try both typing and a voice call, and watch in the system panel how the booking is recorded and changed.

Yours is built on your services, your branches and your cancellation policy. Customer data is kept with defined access in line with the Saudi Personal Data Protection Law, and the number, the accounts and the code belong to your business.