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presented by KeyMark
Summary
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
