Founding AI Engineer - Alhena AI
Alhena built four specialized AI agents on its own agentic framework to power internal customer support: an AI co-pilot for reps, a conversation debugger, a config assistant, and a guideline writer. This is how dogfooding agentic AI changed our support operations.
We replaced our monolithic RAG pipeline with a multi-agent AI system where specialized agents plan, execute, and verify every customer interaction. Here's how the architecture works and what it changed for our e-commerce customers.
Deep-dive into a multi-agent LLM architecture transforming e-commerce with specialized AI for support, sales, and customer experience.
Deep dive into how Agentic AI Chatbots beat RAG bots in customer support. ROI proof, guardrails, and a rollout roadmap for an AI chatbot for customer service or an eCommerce chatbot.
Learn how Smart, Agentic Chunking improves context preservation in Retrieval Augmented Generation (RAG) system. Thereby, helping build smarter AI agents for customer support.