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Efficient automated customer service with human support triggered by rules: the D7produções case

D7produções configured the Whatsplaid assistant for professional automated support, with integrated features for human escalation and ticket management.

SaaS Technical support Automated support Ticket management WhatsApp Media interpretation

Purpose and outcome: Automated service with fast, professional responses and precisely triggered human support, improving efficiency and customer satisfaction.

How D7produções structured this operation on WhatsApp.

D7produções, a company in the SaaS and technical support sector, sought to automate its customer service to improve efficiency and ensure specialized support when necessary. Implement an automated support system with a professional and direct tone, capable of answering inquiries and escalating to human assistance in specific situations.

The assistant has been configured to automatically respond to customer inquiries via WhatsApp, interpreting images, audio, and links sent. The system collects essential information such as email and uses triggers for human escalation, including explicit requests, dissatisfaction, requests for special negotiation, or questions that require internal review. Ticket management has been integrated for email notification, sending summaries, and pausing the chat when necessary.

01 24/7 automated support
02 Quick, professional responses
03 Auto-scaling for human support
04 Integrated ticket management

The strategy of Customer service automation applied to the company's objective.

See how challenge, setup, and features connect to transform conversations into a customer service, sales, marketing, or support operation.

Automate customer service while maintaining a professional and direct tone without compromising support quality, and ensure complex cases are correctly routed to human agents. Configure the assistant with capabilities for media interpretation, collection of required data, triggers for human escalation, and integration with the ticketing system for notification and case tracking.

How the flow of Customer service automation works on WhatsApp.

Follow the steps used by the company and understand where AI, data, and the team fit into the journey.

01
The customer interacts via WhatsApp with the automated assistant Entry point of the journey configured by the company.
02
The assistant answers questions and interprets images, audio, and links Step connected to the objective and the conversation history.
03
Collects essential information such as email for registration Step connected to the objective and the conversation history.
04
Triggers monitor requests for human assistance, dissatisfaction, and technical issues Step connected to the objective and the conversation history.
05
When necessary, the service is paused and a ticket is created and notified by email Step connected to the objective and the conversation history.
06
The customer receives a summary of the service and support confirmation Step connected to the objective and the conversation history.

Next steps for this operation.

Importance of clear triggers for human escalation

Value of collecting essential information for efficient support

Efficiency of automated service combined with human intervention

Relevance of media interpretation for better understanding of demands

Evaluate the integration of new channels and expand the knowledge base to increase the assistant’s autonomy, as well as continuously monitor escalation triggers to optimize the support workflow.

Want to set up a similar operation on your company's WhatsApp Business?

Use this use case as a reference to combine AI agents, company data, automations, and human oversight according to your operation's goals.

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