Professional and direct assistant for support and questions from Provon Fibra Telecom
Provon Fibra Telecom configured the assistant with features for automatic atendimento via WhatsApp, focused on questions and technical support.
Objective and result: Faster and more accurate service, with reduced need for human intervention in simple cases and guaranteed human support in complex situations.
How Provon Fibra Telecom structured this operation on WhatsApp.
Provon Fibra Telecom is an internet provider that needed to improve customer service, especially for questions, technical support, and common requests such as second copies and installations. Automate the service to answer frequent questions, interpret media sent via WhatsApp, and escalate to human support when necessary.
Assistant configured with a professional and direct tone, that answers questions and interprets images, audios, and links sent by the customer. It has rules for escalation to human support in cases of dissatisfaction, explicit requests, special negotiations, or issues requiring internal analysis.
The strategy of Imagens, audios e links applied to the company's goal.
See how challenge, setup, and resources connect to transform conversations into a customer service, sales, marketing, or support operation.
Efficiently and automatically handle the various demands of customers, maintaining quality and knowing when to escalate to human support. Assistant configuration with media interpretation features, mandatory data collection, escalation rules based on clear triggers, and sending summaries via email for follow-up.
How the flow of Imagens, audios e links works on WhatsApp.
Follow the steps used by the company and understand where AI, data, and the team come into the journey.
Next steps of this operation.
Importance of media interpretation to improve virtual support
Clear escalation rules to human support increase satisfaction
Basic data collection facilitates support and follow-up
Professional and direct tone builds customer trust
Monitor the assistant's performance, adjust escalation rules based on feedback, and explore future integrations to expand functionalities.
Want to structure a similar operation on WhatsApp?
Use this case as a reference to combine AI agents, company data, automations, and human control according to your operation's goal.