AI is transforming maintenance operations by enabling real-time anomaly detection, continuous auditing across vast data sets, and enhanced workflow management through electronic job cards, thereby improving operational efficiency, compliance, and knowledge management in MRO environments.
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This list can go on and on and on. We're just getting started on this journey.
Almost any operational process you have today in in maintenance or in the MRO operation could have a flavor of AI supporting it.
We're taking a view that there's a core for for knowledge, right? That's really the core and how do we start to build that core? But then extend deeper into these operational processes. So, anomaly detection is mentioned here, you know, identifying, you know, deviations in real time. Just as someone makes a comment, you know, having a reasoning engine that can go under the covers and tease out some of the history and help with knowledge reinforcement in near real time, right? And we don't have a tool today for continuous auditing.
Obviously, auditing occurs. You have, you know, realms and realms and realms of data that all need to tell a compliant picture, but AI can provide a continuous audit capability. I've done this in other industries outside of aviation where this is, you know, kind of a job of one to understand, um, you know, all of their data and and where to identify gaps in in compliance from an audit real-time health score, if you will. Um, knowledge management, I think we've covered and then in the core workflow, job cards are, you know, we're seeing an adoption of electronic job cards. Melissa can kind of speak to that, um, to a degree. That's part of workflow, but workflow extends far beyond job cards, right? It's all of the actions that you do in a business process to perform work and hand it off to somebody else and have them take the next step to drive work. So, you know, AI absolutely plays a a role here as well.
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