Home and Business Cleaning Services (window cleaning, repeat customers)
Home and Business Services (window cleaning, repeat customers)
We replaced the secretary's work with an AI agent on WhatsApp that books the next appointment, reschedules and reminds on its own — and only alerts the business owner when a person is truly needed.
The Challenge
The business owner runs a window-cleaning company with 10-15 regular customers per day, each of whom needs to be rebooked every two to three months. This entire operation ran manually on a full-time secretary: Google Calendar for dates, WhatsApp for messages, and a phone book where the address was crammed into the customer's name and the notes (what to do, how long it takes) were stuck in the notes field. The result — information scattered with no single source of truth, customers getting a response "whenever the secretary gets around to it" instead of right when the job is done, and management cost and time burned on the same repetitive work day after day instead of on growth.
The Solution
We built the client an AI secretary on top of the WhatsApp Business API that manages the entire repeat-customer journey end to end: the moment an employee finishes a cleaning, the system sends the customer a thank-you message and a request to book the next visit, holds a free-form conversation, checks availability in Google Calendar and books the appointment — even if the customer replies with a voice message. Before the appointment, staggered reminders run (one to two weeks before and one to two days before) with the option to confirm, cancel or reschedule, and the calendar updates according to the response. Underneath it all we set up a single source of truth: an organized CRM into which we migrated the customer data from the phone book and Google Calendar — address, work notes, treatment duration, return frequency and status — so the AI knows who to act on and when. And when a customer doesn't respond at all or asks for a representative, the alert goes to the business owner with full context, instead of the customer falling through the cracks.
Our Approach
Technologies Used
The service behind this project
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