Part 2 of the AI Governance Series argues that governance becomes real only when it is expressed as something engineering can execute. Spec-driven development is that control layer: specifications that encode policy, constraints, and intent become the contract AI tools and developers build against — so governance is enforced as code is written, not audited after the fact.
The result is governance that moves at engineering speed instead of fighting it — controls that live in the build process rather than in a document no one opens.