Why AI Agents Need Structured Policy Facts, Not Just Policy Pages

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A new article in the Agent-Ready Commerce series argues that free-text policy pages are insufficient for AI agents making real-time commerce decisions. The piece contends that policies must be converted from human-readable documents into structured, machine-usable facts with explicit scope, sourcing, and applicability. Unlike a human buyer who can interpret vague language and exceptions, an AI agent requires precise, verifiable claims to safely communicate return, shipping, or warranty terms. The article identifies key challenges such as modeling policy conflicts, freshness, regional differences, and whether a claim is safe for an agent to quote. It positions structured policy facts as a critical layer feeding into broader eligibility decisions within agent-ready commerce platforms.

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