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Efficient automated support with media integration and on-demand human assistance: the Keng House Opportunity case

Keng House Opportunity has implemented an automated assistant on WhatsApp for professional customer service, featuring media interpretation capabilities and handoff to human support.

SaaS and technical support Automated support WhatsApp Media interpretation Suporte humano Email notifications

Purpose and outcome: Efficient automated support via WhatsApp, with human assistance triggered in critical situations, enhancing the customer experience and optimizing the support workflow.

How Keng House Opportunity structured this operation on WhatsApp.

Keng House Opportunity, a company based in Cameroon, sought to automate its customer service via WhatsApp, maintaining a professional and direct tone to answer inquiries, with the option to transfer to human support in specific cases. Provide efficient automated handling for common questions, ensuring human support when necessary for complex cases or customer dissatisfaction.

The assistant has been configured to respond to inquiries in a professional tone, using the media interpretation feature for media sent by the customer on WhatsApp. A form has been implemented to collect a mandatory email address. Escalation rules for human support have been defined for specific requests, dissatisfaction, special negotiations, or questions requiring internal review. Email notifications and submission of interaction summaries have also been configured.

01 Fast, automated support
02 Image, audio and link interpretation
03 Efficient handoff to human support
04 Email notifications and digests

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 customer support with professional quality while retaining the option for human assistance in situations that require special analysis or negotiation, when there is insufficient clear business information for deep personalization. Configure the assistant with a professional, direct tone, enable media interpretation features, require collection of email addresses, define specific rules for escalation to human agents, and send email notifications to track interactions.

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 on WhatsApp Entry point of the journey configured by the company.
02
Assistant answers questions in a professional tone Step connected to the objective and the conversation history.
03
Interprets uploaded media (images, audio, links) Step connected to the objective and the conversation history.
04
Email collection required for contact Step connected to the objective and the conversation history.
05
Rules define when to transfer to human support Step connected to the objective and the conversation history.
06
Notifications and digests are sent by email Step connected to the objective and the conversation history.

Next steps for this operation.

Importance of clear rules for escalation to human support

Multimedia asset value to enhance customer service

Need for a professional, direct tone for the target audience

Benefit of notifications for internal tracking

Expand integrations to other platforms and collect user feedback to refine the assistant’s tone and responses, as well as explore additional automations for more complex cases.

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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