rich 1.0 What does an Agent Mesh need to understand about your business before agentic AI can make a reliable decision? In this episode of The Mostly Unstructured Podcast, Ed and Clay explain how taxonomy, ontology, and knowledge graphs give Business AI a shared understanding of documents, rules, relationships, risk, approvals, and workflow. The discussion focuses on the meaning layer beneath AI orchestration: the business-specific context that determines how information should be interpreted and used. Learn the difference between taxonomy, which defines what something is, and ontology — what it means within your organization and how it relates to other people, data, rules, and processes. A knowledge graph connects that model to your real customers, documents, transactions, and decisions. In this episode: - How taxonomy, ontology, hierarchy, and knowledge graphs differ - Why document access and business context must work together - How a shared meaning layer supports Agent Mesh and AI orchestration - Where agentic AI can make errors when business rules are unclear - What executives should define before using Business AI for decisions #AgentMesh #Ontology #Taxonomy #AgenticAI #BusinessAI The Mostly Unstructured Podcast https://audioboom.com/channels/5005062-the-mostly-unstructured-podcast Audioboom https://audioboom.com 480 95 https://audioboom.com/i/43816576/600x600/c 600 600 <iframe width="100%" height="95" src="https://embeds.audioboom.com/posts/8947295/embed?v=202301" style="background-color: transparent; display: block; padding: 0; width: 100%" frameborder="0" allowtransparency="allowtransparency" scrolling="no" title="Audioboom player" allow="autoplay" sandbox="allow-downloads allow-forms allow-popups allow-same-origin allow-scripts allow-storage-access-by-user-activation allow-top-navigation-by-user-activation"></iframe>