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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

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

How Emmanuel structured this operation on WhatsApp.

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 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.

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 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.

01
The client sends messages via WhatsApp, including images, audio, or links Entry point of the journey configured by the company.
02
The assistant interprets the content and automatically responds to doubts Step connected to the goal and conversation history.
03
Collects important information such as the client's email Step connected to the goal and conversation history.
04
Triggers tickets and notifies the team when necessary Step connected to the goal and conversation history.
05
Transfers to human support in cases of dissatisfaction, special requests, or complex questions Step connected to the goal and conversation history.

Next steps of this operation.

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 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.

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