Work order insights is an applied AI solution that automates the process of reviewing work orders to identify problems and abnormalities that could impact your operations. The tool can help you optimize the maintenance process to free up team resources.
To find abnormalities, the tool first groups or "clusters" work orders based on their description. This lets us compare work orders that represent similar work, so that we're not comparing (for example) replacing a filter with fixing an engine. This clustering process happens across sites, and is language agnostic, which means that we can cluster similar work even if it happened at different sites or was recorded in different languages.
After comparing a work order to the others in its cluster, it is assigned any applicable diagnoses from each of the risk types. Based on the number of diagnoses it has been assigned, it is also assigned a score for each risk type, which is a number between 1-1000 that represents its relative risk. To learn more about this process, see How risk scores are calculated.
This information is displayed in 2 separate dashboards: one for active work orders (which allows you to intervene in urgent, risky work orders while they're still in progress) and another for closed work orders (which can be used for port-mortem work and to identify trends you want to address in future work orders).
To learn more about work order insights, see the following articles: