Appointment automation for a diary that fills itself
Appointment automation pays for itself in the gaps. An empty slot at eleven on Tuesday costs the same as a busy one, and someone on your waiting list would have taken it.
WhatsApp automation works because your customers are already there. The problem is that the phone holding those conversations belongs to one person, and that person sleeps.
Quotes, bookings, complaints and photos of broken parts all arrive on the same number. Someone answers between meetings. At nine in the evening the messages keep coming and nobody sees them until morning.
None of it reaches the CRM. When that person is on holiday, the company is quietly closed on its busiest channel.
The common fix is a second phone, which doubles the problem instead of solving it.
The number moves to the WhatsApp Business API, so the conversation stops living in one handset. From there n8n routes every message and an AI model reads what it is about.
Outbound messages use approved templates and respect the opt-in rules, because Meta suspends numbers that do not.
Complaints, medical questions, anything about money beyond a standard price: all of it goes to a person immediately, with a line saying why it was escalated.
The assistant says it is an assistant when asked. Pretending otherwise breaks trust the first time a customer notices, and customers always notice.
A clinic running its messaging this way is described in the Lucas Miranda case.
Two to four weeks is the usual range, and the calendar depends partly on Meta. Verifying the business and approving the first templates can take several days that nobody controls.
We run the assistant against real past conversations in a sandbox before a customer ever writes to it. That habit, and the rest of how we work, is in the process section.
Book the AI and operations audit and we map what actually arrives on that number. You get a ranked plan in two working days, with its fee credited against the first project.
Have your company verification details ready along with a month of exported chats. Those chats are the training material, and nothing else describes your business as accurately.
Most of these builds run on n8n, explained in the n8n page. The service that covers the whole thing is automation and AI systems.
No, it migrates to the Business API. The chat history on the old handset does not travel, so we export it first and keep it as reference.
Meta charges per conversation and the rate depends on country and type. The account stays in your name, so you pay Meta directly with no margin from us.
Only with consent and an approved template, which is a rule from Meta rather than a preference of ours. We set the opt-in up as part of the build.
The assistant answers what it can and tells the customer when a person will pick it up. Urgent cases can trigger a call or an alert to whoever is on duty.
Yes. The shared inbox assigns conversations by team or by topic, and every reply stays in one thread the customer sees as normal.
Something else? Email team@braveautomations.com and a person answers, usually the same day.
Appointment automation pays for itself in the gaps. An empty slot at eleven on Tuesday costs the same as a busy one, and someone on your waiting list would have taken it.
CRM automation earns its place when the CRM stops being where reps type and becomes the thing that tells them who to call this morning.
Email automation is worth building when one shared inbox holds four kinds of work. Orders, complaints and invoices arrive in the same list, sorted by the hour they landed.
Ninety minutes with a consultant, then a ranked plan in two working days. Whatever it costs comes off your first project.