Writing AI Routing Policies Is as Simple as Drafting Acceptance Criteria

The article proposes that writing AI routing policies can follow the same format as acceptance criteria. Acceptance criteria define clear, testable conditions for software features. Applying that structure to AI routing helps ensure predictable behavior. The approach guides teams to articulate desired outcomes for AI decision‑making. It also provides a basis for automated testing of routing logic. The method aims to reduce ambiguity in AI system configuration. Practitioners can iterate policies using familiar product‑development workflows. The piece encourages broader adoption of disciplined policy writing for AI routing.