Data Contracts Won't Save You If Your AI Agent Can't Read Them

Traditional data contracts and governance policies, written for human oversight, are largely invisible to AI-powered machine consumers, exposing organizations to undetected errors and policy breaches. Contract controls like freshness SLAs, usage restrictions, quality thresholds, and semantic definitions are typically stored in config files and documentation, making them inaccessible to autonomous agents at query time. Critical governance elements must transition from human-readable specifications to machine-readable, queryable metadata and enforceable runtime policies.