Local adaptations can preserve component health while changing whether a system meets its reliability requirements. The system-level consequence depends on the interaction affected and its role in the user journey. Emergence-as-Code (EmaC) makes this relationship part of an executable, evidence-reconciled CompositeSLO assessment. A declared journey obligation persists while discovery maintains a hypothesis of its runtime realization. An inferred operator-to-role binding selects the measurements used in the calculation; its evidential status determines whether the binding supports a numerical assessment. Each result retains the obligation and versioned hypothesis as a basis for governance decisions. A PetClinic proof of concept recovered the exact operator-state/edge-binding change in all 20 randomized treatments, with no false change in 20 controls. EmaC and a manual dynamic composite matched disjoint semantic outcomes in all 40 conditions. A model with frozen suppression knowledge overestimated required-history availability by 0.01, placing treatments above a 0.995 target despite observed availability of 0.99. Ambiguous and contradictory evidence produced UNASSESSABLE. The research programme evaluates sustained binding maintenance, calibrated uncertainty, and the decision value of this requirement-level account of local adaptation.

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