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Professional, direct automated support via WhatsApp for SaaS: the Akeni Blessings case study

Akeni Blessings has implemented an automated assistant for WhatsApp support, focused on answering inquiries and routing complex cases to human agents.

SaaS and technical support Automated support WhatsApp Media interpretation Ticket management

Purpose and outcome: Improves customer support efficiency and request management with fast responses and proper escalation for cases that require human review.

How Akeni Blessings structured this operation on WhatsApp.

Akeni Blessings is a UK-based company in the SaaS and technical support sector that requires efficient handling of inquiries and support via WhatsApp. Automate customer service to answer common questions and route complex cases to human agents, ensuring speed and quality.

The assistant adopts a professional, direct tone, automatically answers questions and interprets images, audio, and links sent by customers. It includes rules to transfer to human agents in cases of dissatisfaction, special requests, or technical issues. The system creates tickets with email notifications and sends summaries for follow-up.

01 Automated support
02 Interpretation of media uploaded by the customer
03 Escalation to human support when necessary
04 Email notifications and ticket summary delivery

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.

Provide automated handling of inquiries and requests via WhatsApp while maintaining quality and recognizing when to escalate to human agents for complex issues or dissatisfaction. Implement an assistant capable of interpreting media, automatically answering questions, and enforcing specific rules to trigger human support, along with ticket management and email notifications.

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 message via WhatsApp Entry point of the journey configured by the company.
02
Assistant automatically answers questions in a professional tone Step connected to the objective and the conversation history.
03
Interprets images, audio and links sent Step connected to the objective and the conversation history.
04
Transfers to human agents in cases of dissatisfaction, special requests, or technical issues Step connected to the objective and the conversation history.
05
Creates tickets with notifications and summaries sent by email 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 for comprehensive customer understanding

Benefit of integration with a ticketing system for efficient management

Evaluate expanding the assistant’s capabilities to include integration with other platforms and advanced data analysis to enhance 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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