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Efficient automated support focused on technical assistance via WhatsApp: the Ice Plus case

Ice Plus configured a digital assistant for professional, direct automated support, prioritizing technical help and intelligent escalation to humans.

SaaS and technical support Automated support Media interpretation WhatsApp Technical support Email notifications

Purpose and outcome: Faster, more professional service with reduced need for human intervention on common questions and guaranteed specialist support when needed.

How Ice Plus structured this operation on WhatsApp.

Ice Plus operates in the SaaS and technical support segment, serving customers via WhatsApp and aiming to automate support for technical inquiries while maintaining quality and speed of contact. Automate customer support for technical assistance, answering common questions and routing to human support when necessary.

The assistant has been configured to answer inquiries professionally and directly, interpret images, audio and links sent, and transfer to human support in cases of explicit request, dissatisfaction, need for negotiation, or questions that require internal analysis.

01 Professional and direct automated support
02 Interpretation of images, audio files and links sent
03 Intelligent routing to human support
04 Notifications and summary email delivery to internal team

The strategy of Customer service automation 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.

Ensure an efficient automated support that answers technical questions without losing quality and knows when to escalate to human support in complex situations. Assistant setup with a professional tone, activation of image, audio and link interpretation features, and definition of rules for transfer to a human in cases of explicit request, dissatisfaction, or complex technical issues, plus email notifications and summaries for the internal team.

How the flow of Customer service automation works on WhatsApp.

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

01
Customer starts support via WhatsApp Entry point of the journey configured by the company.
02
Assistant answers common questions automatically Step connected to the objective and the conversation history.
03
Interprets uploaded media for better understanding of the issue Step connected to the objective and the conversation history.
04
Escalates to human support when requested or for complex cases Step connected to the objective and the conversation history.
05
Team receives notifications and summaries for follow-up Step connected to the objective and the conversation history.

Next steps for this operation.

Importance of clear rules for escalation to human support

Value of media interpretation for more accurate technical support

Benefit of sending notifications and summaries to internal team

Monitor the assistant's performance to fine-tune transfer rules and explore integration with other platforms to expand automated support.

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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