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Professional, direct automated support for technical assistance via WhatsApp: the Litebrush case

Litebrush set up an assistant with automated customer service via WhatsApp, focused on answering questions and routing to human support when necessary.

SaaS Technical support Automated support WhatsApp Multimedia interpretation wppmarketing

Purpose and outcome: Improved customer service efficiency via WhatsApp, with fast responses and proper routing to human support, increasing satisfaction and speed in handling tickets.

How Litebrush structured this operation on WhatsApp.

Litebrush is an Argentine company that offers SaaS solutions focused on technical support, using digital channels for customer service and ticket resolution. Automate customer service via WhatsApp to answer questions, interpret multimedia content sent by users, and route to human support when necessary.

The assistant operates on WhatsApp with a professional and direct tone, automatically answers questions, interprets images, audio, and links sent by customers, and triggers human support in cases of dissatisfaction, requests for special negotiation, or questions requiring internal review.

01 24/7 automated support
02 Interpretation of images, audio and links for better understanding of inquiries
03 Efficient escalation to human support when needed
04 Internal email notifications for ticket follow-up

The strategy of Multimodal AI 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.

Efficiently and automatically handle technical inquiries via WhatsApp, ensuring quality and the ability to escalate to human support when necessary. Configure the assistant with features to interpret images, audio, and links, define handoff rules for human agents in specific situations, and use email notifications for internal follow-up.

How the flow of Multimodal AI works on WhatsApp.

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

01
Client initiates contact via WhatsApp Entry point of the journey configured by the company.
02
Assistant answers questions in a professional, direct tone Step connected to the objective and the conversation history.
03
Interprets multimedia content sent by the customer Step connected to the objective and the conversation history.
04
Escalates to human support for dissatisfaction, special requests, or complex questions Step connected to the objective and the conversation history.
05
Notify internal team by email with a summary of the conversation Step connected to the objective and the conversation history.

Next steps for this operation.

Importance of clear handoff rules to human support

Value of multimedia interpretation to enrich automated support

Need to integrate with internal systems for efficient ticket management

Assess adding new modules to expand the assistant's capabilities and deepen integrations to optimize the support flow and data analysis.

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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