The Army is piloting the Artificial Intelligence-Assisted Maintenance (AIAM) program, a web-based system designed to replace parts of its paper-driven equipment maintenance process with searchable digital references and electronic repair records, DefenseScoop reported.
Developed by Army Communications-Electronics Command, AIAM has digitized between 200 and 250 technical manuals. Soldiers can query those publications for repair information, document maintenance issues for supervisor review and contact civilian logistics assistance representatives. Supply clerks, rather than soldiers generally, can use the platform to view current supply stocks and access maintenance-request roll-ups to order parts through the Global Combat Support System-Army.
CECOM said roughly 4,000 users have provided feedback, mostly requesting additional systems or changes to the maintenance procedures available through the platform. The Army began testing an early version at the National Training Center after initially developing the effort to assist civilian logistics representatives with field repairs.
The platform is accessed through a web application on phones, tablets or laptops; officials said there is currently no hardware component. CECOM also said early versions produced hallucinations, prompting the service to redesign the system so its AI navigates digitized publications and retrieves information directly from them.
The pilot is not yet evidence of an operational predictive-maintenance capability. The Army has described forecasting repairs using sensors and historical performance data as a future direction. That differs from a separate Marine Corps effort, where officials have been developing a Maintenance Assessment Tool to forecast aviation-part replacements and planned to provide it to a unit at Marine Corps Air Station Yuma, according to an earlier DefenseScoop report.