Own the definitional queries teams ask before they turn a company policy into something an agent actually enforces.
Policy-as-code expresses a company policy as machine-checkable rules an agent evaluates at runtime — for example, if refund > $50 then require manager approval. It is decision-support, not a legal opinion or a compliance certificate.
Extract each policy sentence as a condition + action, map high-risk rules to EU AI Act themes (Art. 9, 14, 26), and export a rules file the agent evaluates on every run. The rules are a view of your obligations, not a guarantee of conformity.
Long-form, cited explainers. Each carries 3+ authoritative EU AI Act / AI-governance sources and a decision-support disclaimer.
How policy packs map to NIST AI RMF functions and EU AI Act themes — decision support, not a certificate.
Why constraining agent tool access is a control, not a feature toggle — with honesty rules for open-ended agents.
Publish + syndicate per gtm-launch (IH + GEO indexes). Each post carries 3 authoritative refs.
