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Efficient and professional automated support for technical assistance

Emmanuel configured an automatic assistant on WhatsApp to answer questions and manage tickets with human forwarding when necessary.

SaaS and technical support Automated atendimento WhatsApp Virtual assistant Ticket management. Media interpretation

Summary: Improvement in managing support via WhatsApp, with effective automatic responses and proper escalation to humans in critical situations, optimizing Emmanuel's technical support.

A feature connected to the customer's real routine.

Emmanuel operates in technical support, using WhatsApp as the main channel for customer service, aiming to automate responses and improve ticket management. Automate support to answer common questions, collect essential information, and escalate to human support when necessary, ensuring efficiency and professionalism.

The assistant automatically responds to questions with a professional and direct tone, interprets images, audios, and links sent, collects information such as the customer's email, and triggers tickets when detecting requests for human support, dissatisfaction, technical issues, or questions requiring internal analysis.

01 Automatic service with a professional tone
02 Interpretation of media sent by clients
03 Collection of essential information such as email
04 Efficient routing to human support

The project transforms conversation into an operational process.

The case shows the objective, module used, and experience created on WhatsApp, without relying on internal metrics.

Ensure efficient automatic service that knows when to escalate to humans, maintaining a professional tone and responding appropriately to different types of technical support requests. Implementation of a configured assistant for automatic service with data collection, media interpretation, and ticket activation with notifications and summaries, as well as clear rules for transfer to human support.

How it works for the customer.

The page translates the usage flow into a clear public narrative, without the feel of an internal manual.

01
The client sends messages via WhatsApp, including images, audio, or links The company quickly understands where AI fits into the journey.
02
The assistant interprets the content and automatically responds to doubts The stage maintains support, sales, or service connected to the conversation history.
03
Collects important information such as the client's email The stage maintains support, sales, or service connected to the conversation history.
04
Triggers tickets and notifies the team when necessary The stage maintains support, sales, or service connected to the conversation history.
05
Transfers to human support in cases of dissatisfaction, special requests, or complex questions The stage maintains support, sales, or service connected to the conversation history.

Next steps of the setup.

Importance of clear rules for transfer to human support

Value of media interpretation to enrich support

Need for notifications and summaries for better ticket management

Evaluate the possibility of integrating other platforms and expanding human support triggers to cover more specific scenarios, as well as monitoring performance for fine-tuning.

Want to apply AI in your company's WhatsApp?

Whatsplaid structures chatbot, support, leads, internal tickets, knowledge base, and integrations for the brand's real operation.

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