Practical Patterns for AI Agent Governance in Production

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When an AI agent starts calling real systems – deploy pipelines, billing, CRM, data workflows – “governance” stops being optional. Over the last year, a few practical patterns have emerged for teams that got agents into production without terrifying security and infra. Pattern 1: Treat capabilities as a catalog, not just functions Instead of wiring agents to ad‑hoc endpoints, define a capability catalog: stable capability IDs machine‑readable schemas for inputs and outputs metadata (owner, risk, environments) The same capabilities are callable by humans (CLI), services (HTTP/RPC), and agents.

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