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Efficient, professional automated support via WhatsApp

Pedro Luiz Furtado set up an assistant for automated customer service on WhatsApp, focused on technical support using a local knowledge base.

SaaS and technical support Base de Conhecimento Automated support WhatsApp Media interpretation

Purpose and outcome: Automated support capable of answering technical questions based on local files, improving customer experience and optimizing support via WhatsApp.

How Pedro Luiz Furtado structured this operation on WhatsApp.

Pedro Luiz Furtado works in the SaaS and technical support sector, using the WhatsApp channel for customer service and technical inquiries. Implement a professional and direct automated service to answer questions and provide technical support via WhatsApp, with escalation to human support when necessary.

The assistant interprets images, audio, and links sent by the customer and consults a local knowledge base (spreadsheets and files) to provide accurate responses. It has escalation rules for human support in cases of dissatisfaction, special requests, or questions that require internal review.

01 Professional and direct automated support
02 Answer technical questions based on local files
03 Interpretation of images, audio files and links sent
04 Escalation to human support when necessary

The strategy of Base de Conhecimento 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.

Provide efficient, professional automated support on a channel like WhatsApp, which receives various types of media and diverse technical requests. Configure the assistant with capabilities to interpret media and query a local knowledge base, plus rules to determine when to escalate to human support while maintaining a professional, direct tone.

How the flow of Base de Conhecimento works on WhatsApp.

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

01
Customer sends message via WhatsApp with text or media Entry point of the journey configured by the company.
02
Assistant interprets the message and consults the local knowledge base Step connected to the objective and the conversation history.
03
Provides a clear, professional automatic response Step connected to the objective and the conversation history.
04
Rules detect the need for human assistance and initiate a transfer Step connected to the objective and the conversation history.

Next steps for this operation.

Importance of integrating multiple resources for efficient service

Need for clear rules for handoff to human support

Value of a professional and direct tone in technical support

Assess the possibility of integrating additional data sources to expand the knowledge base and monitor feedback to adjust human support rules.

Want to set up a similar operation on WhatsApp?

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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