Decision Infrastructure for Asset Integrity
Engineering Decisions as a System
Background
Asset integrity has traditionally been defined by the ability to inspect, detect, and report. Over time, inspection techniques have improved, data volumes have increased, and compliance frameworks have matured. Yet despite these advances, a persistent gap remains. The challenge is no longer whether defects can be identified, but whether the right decisions consistently follow from the data produced.
The core issue is not inspection capability alone. It is also inconsistent decision-making driven by fragmented data, disconnected systems, and varying interpretations across teams.
Two engineers looking at the same data can arrive at different conclusions.
