Allow your patients to manage their appointments in the most agile and simple way possible thanks to our conversational intelligence.
Key data
of patients still prefer to book appointments by telephone.
of patients identified being put on hold as their biggest problem when scheduling appointments.
Our approach ensures quality care thanks to our assistant who is able to resolve queries, streamline processes and provide accurate answers quickly and efficiently. We help reduce lost calls, increase patient satisfaction and improve medical center management.
use cases
Optimize appointment management with Bookline in an agile and simple way: real-time availability and customized options. Configure schedules, specialties and much more.
Avoid unanswered calls and last minute no-shows. We modify appointments in case of unforeseen events and free up doctors’ schedules, offering the option to reschedule so you don’t miss any appointments.
Ensure patient attendance with automated appointment reminders. Send a message or schedule a call the day before to confirm all details.
Provide quick and unlimited answers with our chatGPT-integrated assistant. Customize the answers according to the needs of the clinic.
Enhance the customer experience by listening to customer feedback and understanding their needs. Personalize and analyze surveys to maintain a quality relationship.
We analyze your business model and design an assistant that fits the experience you want to offer.
We configure the conversational flow and optimize its AI capabilities, as well as make the necessary integrations.
We do extensive testing to ensure the quality and performance of the assistant. Once activated, we monitor the results closely and have continuous follow-ups.
We will provide you with a phone number integrated with your software so you can see the real experience the user will have when calling your business.
If you like it, we will reroute the call the real number and the assistant will answer all calls. Remember that whenever necessary, the call will be passed on to the local branch.
At the end of the testing phase, we will share with you a detailed report with the most important metrics and the assistant’s performance.