The Alhena Blog: Where Generative AI & CS/CX Intersect
Stay up to date with the latest generative AI insights and customer support/CX practices at The Alhena Blog.
Gleen AI is now Alhena AI
Gleen AI is now Alhena AI - Alhena AI symbolizes our evolution from a cost-saving tool to a revenue-driving platform. It’s not just about support anymore; it’s about elevating the entire customer journey.
Announcement
⭐⭐⭐⭐⭐ Alhena AI Review Management: Built to Speak for Your Brand (Fluently).
Reviews shape the decision to purchase or walk away. Shoppers read them closely, including how the company responds when things go right—or wrong. * 93% of shoppers say reviews influence their buying decisions * 89% read brand responses before making a choice * 94% expect a reply when they leave a review
AI Customer Support
Introducing Smart Flagging AI Responses by Alhena
Alhena.ai’s Flagged Conversations feature reduces QA workload by automatically identifying less than 1% of chats where AI may have hallucinated. With this, Business leaders can ensure accurate AI for CS, eCommerce and Shopping
Announcement
No More “Press 1 to Wait Forever.” Meet Alhena Voice
Customer support calls rank just below tax season and rush hour traffic on the list of things people dread. Endless hold times. Confusing phone trees. Agents who don’t always have the right answers. Let’s be honest—no one wakes up excited to call customer support. Until now. Alhena
Announcement
Gleen AI is now Alhena AI
Gleen AI is now Alhena AI - Alhena AI symbolizes our evolution from a cost-saving tool to a revenue-driving platform. It’s not just about support anymore; it’s about elevating the entire customer journey.
Hallucination-Free AI
AI Hallucinations? Not on Our Watch.
Gleen AI introduces self-correcting AI, eliminating errors and delivering accurate, 24/7 support. Perfect for eCommerce and customer support teams looking to scale efficiently while maintaining trust and reliability.
Product & Engineering
Agentic Chunking: Enhancing RAG Answers for Completeness and Accuracy
Agentic Chunking improves context preservation in Retrieval Augmented Generation. Introduction Generating accurate and complete answers using Large Language Models (LLMs) depends on two main factors: 1. The quality of the LLM. 2. The quality of the context provided to the LLM. In this post, we’ll focus on the second
