Most AI projects fail because they optimize processes that should not exist in their current form. Organizations generating real value start with a blank slate, design from outcomes, then reintroduce constraints. This session shares the framework separating incremental deployment from genuine re-imagination: identify qualifying processes, design an agent-native target, and sequence what to build now versus what requires data investment first.