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Efficient automatic service with human support at Facilitypay

Facilitypay configured WhatsPlaid assistant for automated support via WhatsApp, focusing on questions and human support when necessary.

SaaS and technical support Automated atendimento WhatsApp Multimedia interpretation Suporte humano Ticket system

Objective and result: More agile and organized service, with efficient automatic responses and human support activated only when necessary, improving the customer experience and optimizing support team resources.

How Facilitypay structured this operation on WhatsApp.

Facilitypay operates in the SaaS and technical support segment, aiming to automate customer service via WhatsApp to answer questions and manage tickets efficiently. Automate customer service to answer frequent questions and ensure human support in situations that require internal analysis or customer dissatisfaction.

The WhatsPlaid assistant operates on WhatsApp with a professional and direct tone, interpreting images, audios, and links sent by customers. It collects essential data such as email and phone number for registration and uses rules to forward to human support in cases of explicit requests, dissatisfaction, technical issues, or questions not answered automatically. Additionally, it integrates a ticket system for email notifications and interaction summaries.

01 Efficient automated service
02 Image, audio, and link interpretation
03 Mandatory collection of essential data
04 Automatic transfer to human support when necessary

The strategy of Image, audio, and link interpretation 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 answers common questions and correctly identifies when the customer needs human support, maintaining quality and professionalism in WhatsApp contact. Configure the assistant with multimedia features to interpret complex messages, mandatory data collection, clear rules for transfer to human support, and integration with a ticket system for tracking and notification of interactions.

How the flow of Image, audio, and link interpretation works on WhatsApp.

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

01
Customer sends message via WhatsApp Entry point of the journey configured by the company.
02
Assistant interprets media and automatically answers questions Step connected to the goal and conversation history.
03
Collects email and phone for registration Step connected to the goal and conversation history.
04
Triggers that initiate transfer to human support in specific cases Step connected to the goal and conversation history.
05
Ticket system notifies the team and sends a summary of the service Step connected to the goal and conversation history.

Next steps of this operation.

Importance of clear rules for transfer to human support

Value of collecting essential data for service management

Benefits of multimedia interpretation for better understanding of requests

Need for integration with a ticket system for efficient tracking

Evaluate expanding the assistant's resources to include automation of special negotiations and internal analysis, as well as integrating new data sources to enrich automatic responses.

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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