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Efficient automated support with multimedia integration and on-demand human assistance: the Suriyansah Star case

Suriyansah Star set up an automated assistant on WhatsApp with multimedia capabilities and clear rules for escalation to human support.

SaaS and technical support Automated support WhatsApp Multimedia interpretation Suporte humano Data collection

Purpose and outcome: Automated support with multimedia capabilities and efficient escalation rules, delivering fast responses and human support when needed to enhance the customer experience.

How Suriyansah Star structured this operation on WhatsApp.

Suriyansah Star operates in Indonesia and sought to automate its WhatsApp support to answer inquiries in a professional and direct manner, without sales, with the ability to transfer to human agents when necessary. Provide efficient automated support for common questions, with multimedia recognition and rules to escalate to human support in specific situations.

The assistant on WhatsApp interprets images, audio, and links sent by customers, collects essential data such as email and phone number, and uses triggers to identify requests for human support, dissatisfaction, technical issues, or unanswered questions, forwarding the customer to a human agent according to configured rules.

01 24/7 automated support
02 Image, audio, and link interpretation for enhanced support
03 Efficient routing to human support
04 Collection of essential data for service qualification

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.

Automate WhatsApp support so the assistant answers inquiries accurately, interprets multimedia, and knows when to escalate to a human agent, maintaining a professional and direct tone. Implement the assistant with image, audio and link interpretation capabilities, essential data collection, and configurable triggers to detect requests for human support, dissatisfaction, technical issues and unanswered questions, with email notifications and submission of interaction summaries.

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
Customer sends a message via WhatsApp, which may include images, audio, or links Entry point of the journey configured by the company.
02
Assistant interprets multimedia content and automatically answers questions Step connected to the objective and the conversation history.
03
Requests for human support, dissatisfaction, technical issues, or unanswered questions trigger escalation rules Step connected to the objective and the conversation history.
04
Human support takes over the contact when necessary, with email notifications Step connected to the objective and the conversation history.
05
Summary of the interaction is sent for follow-up Step connected to the objective and the conversation history.

Next steps for this operation.

Importance of multimedia interpretation for enriching automated customer service

Need for well-defined triggers to ensure proper handoff to human support

Value of essential data collection for support qualification

Maintain a professional, direct tone for clear communication

Monitor assistant performance, adjust triggers and flows based on customer feedback, and explore future integrations to expand functionality.

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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