Most AI launches don't fail loudly — they erode trust quietly. This post outlines the four signals we use with enterprise teams to decide whether an AI feature is ready to ship: behavioral coverage, regression confidence, failure observability, and incident reversibility.
Behavioral coverage answers: what does this AI promise to do, and have we tested it across the inputs users actually send? Regression confidence answers: when we change a prompt, model, or retriever, do we know within minutes whether quality dropped? Failure observability answers: when something goes wrong in production, can we replay it? Incident reversibility answers: can we roll back or override without re-deploying?
If you can't answer all four with evidence, you don't have a launch decision — you have a hope.