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In a recent article our CEO, Chris Turlica, highlights a critical challenge facing many organizations: the potential loss of irreplaceable maintenance knowledge as experienced professionals retire. The stakes are high, with studies showing North American aviation companies losing 11.5% of their maintenance workforce annually, and up to 40% of maintenance professionals potentially retiring across industries within five years.

Chris suggests a straight-forward solution: combining human expertise with AI to create intelligent systems that can capture, preserve, and distribute this critical knowledge. Rather than replacing workers, these AI copilots would enhance their capabilities, helping document insights and making crucial information more accessible to both veteran technicians and new recruits.


Read the full article here. 


Join the conversation! 

What challenges have you faced in preserving institutional knowledge at your organization, and how do you think AI tools could help bridge the gap between retiring experts and incoming professionals?
Have you seen any successful examples of technology being used to capture and share maintenance expertise?

 

We use AI to help with a smooth transition from operator to tech. We also integrate electronic manuals into our processes to keep less experienced techs up to speed on any repairs or preventive measures that will improve our operation and management of equipment. This allows them to find the answers to their questions or diagnose issues as they appear without having to depend on other techs or more experienced personnel. I have had the opportunity to build our department from scratch. This allowed me to integrate my near 40 years of experience and updated technology from AI and younger more electronics savvy engineers and techs. This has made a great setup and capable team that will only get better with time and more AI integration.

Explicit knowledge can be fairly easy to allow AI to translate into usable form to provide guides/training for replacements. I have not seen a “good” means to transform Implicit knowledge into a usable form, if AI can get to the point of being able to assist with that type of knowledge transfer it would be a game changer.

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