PA AI has largely solved data connectivity. The governed criteria problem — versioned, auditable rules that travel with each agent — remains unsolved, and regulators are about to make that gap very visible.
Claude Code ships with a layered context hierarchy — enterprise, global, project, and rules. Most developers only use part of it. SCS is the principled way to fill in the rest.
Filters and trained refusals address symptoms. Structured context addresses the gap — an authoritative reference point the agent can compare incoming instructions against.
Your coding agent is building systems that will be audited against standards it's never encountered. Here's what changes when you put governance in context.
Good AI governance standards exist. The problem is they never reach the systems they're meant to govern — and structured context is one way to close that gap.
What makes an AI system reliable isn't the model — it's the context. A look at how structured context functions as infrastructure.