LYQN AI is a customer support platform that provides a self-learning artificial intelligence chatbot designed to understand a business's specific operations, products, and services. The primary function of the tool is to automate customer interactions by leveraging AI that learns from a company's knowledge base, enabling it to answer queries accurately without requiring extensive manual setup. The system includes a one-click handoff feature that seamlessly transfers conversations from the AI to human support agents when necessary, ensuring complex issues are handled personally. Additionally, LYQN AI offers a WhatsApp bridge, allowing businesses to manage customer inquiries directly through the messaging application. Key capabilities of the platform include automatic learning from business data to improve responses over time, a simple deployment process requiring only a single line of code to be added to a website, and integrated human takeover functionality for escalated support tickets. The platform is built to function as a bridge between automated efficiency and live assistance, creating a workflow where the AI handles routine questions while routing more nuanced requests to staff members without interrupting the customer experience. Typical use cases involve embedding the chatbot on e-commerce sites, service portals, or any business website to provide 24/7 support, manage lead inquiries, or handle frequently asked questions. Technical requirements for deploying LYQN AI are minimal, with the primary implementation being the insertion of a script tag into the website's codebase. The platform is hosted as a cloud service, meaning there is no need for businesses to manage their own servers or infrastructure. Potential users can evaluate the service through a two-week free trial, which provides full access to the AI chatbot, the human handoff feature, and the WhatsApp integration before committing to a paid plan. The tool is suitable for companies of various sizes seeking to reduce response times and support staff workload without sacrificing service quality.