AI Agents Need Governance Before They Need Production Access
AI agents can be useful in real business workflows, but only when access, auditability, approval boundaries and accountability are designed before production rollout.
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Kyluke McDougall
AI agents can be useful in real business workflows, but only when access, auditability, approval boundaries and accountability are designed before production rollout.
The current spec-driven development discussion is a useful reminder: when AI makes implementation faster, unclear product intent becomes the expensive part.
Production-ready AI agents need more than a strong model. They need architecture around context, tools, permissions, validation and operations.