Routing Fallback Path

Routing Fallback Path is a ai resilience pattern that keeps an AI feature useful when a provider or tool is unavailable for selection among models, tools, and workflows. It uses degraded states, deterministic responses, and operator notices so teams can avoid fake AI success while keeping evidence, reliability, and public-safe operational boundaries clear.

“The AI platform team used Routing Fallback Path when the router selected a cheaper model, so the team could avoid fake AI success before the agent workflow reached production.”