Success Cases
Belonio Equips Journal With Intelligent AI Assistant
Belonio equips its Journal with AI assistant Bea, transforming static blog articles into interactive knowledge spaces that contextually guide readers.
Chatbot provides summary on blog articles
For those who don't have much time, Bea offers a clever summary of the articles.
Chatbot answers questions about blog articles
If technical terms in the text remain unclear, the appropriate explanation is provided immediately upon request in the chat.
Chatbot Recommendations on further whitepapers or blog articles
Bea provides specific suggestions for relevant white papers or further blog posts that complement the topic in a meaningful way.
Goals: Transforming Static Content Into Interactive Experiences
Belonio operates its Journal as a central knowledge hub for complex tax and business management topics. The challenge: Expert articles often contain specialized terminology and intricate details where readers require immediate clarification without interrupting their reading flow. Simultaneously, the demand for efficient information delivery at consistent quality levels continues to grow. The company sought a solution to transform static blog articles into a dialog-based knowledge space that supports readers directly within the context when needed. The objective was to facilitate information consumption, explain technical terms instantly, and intelligently recommend relevant whitepapers and additional content, available 24/7 without placing additional burden on the expert team.
Results: Intelligent Assistance Directly Within the Reading Context
With Bea, the AI assistant implemented on the LoyJoy platform, Belonio guides its readers as a competent partner by their side. Bea offers three core functions: article summaries for quick overviews, interactive answers to technical questions directly within the text context, and intelligent recommendations for relevant follow-up content. The Agentic AI retrieves information specifically from article contents, ensuring explanations remain technically sound. This intelligent division of labor between the chatbot (routine information, immediate assistance) and human experts (complex consultation) noticeably relieves the team. This customer service automation transforms the Journal into a living knowledge ecosystem that actively accompanies readers rather than passively processing them.