The situation
A federal defense contractor manages thousands of ground vehicles, support equipment, and aircraft components across multiple installations. Asset data lives in four separate systems — a maintenance platform, an ERP, a regulatory compliance database, and a utilization tracker — with a different identifier for the same physical asset in each. When leadership requests a fleet readiness assessment, the answer requires two weeks of manual reconciliation and arrives as a static snapshot already out of date by the time it is reviewed.
The organization had invested significantly in an AI initiative for predictive maintenance and readiness forecasting. The maintenance teams had a clear view of what the AI was capable of, and a clear sense that the data quality needed to be addressed before they could act on its recommendations with confidence. The same compressor appeared under four different entity IDs. Maintenance records from one system did not reconcile with utilization records from another.
The solution
The PolyPhaze Knowledge Fabric™ connected all four systems without requiring data migration. Entity resolution established one canonical, Trust-Scored record for every physical asset across its four system identifiers. Every maintenance reading, utilization record, and compliance status now carries a PolyPhaze Trust Score™ the maintenance teams and AI models read and gate against before acting.
The Asset Twin capability built the live digital model of the fleet on that trusted foundation. Predictive maintenance recommendations run against Trust-Scored condition data, OEM life limits, and full maintenance history. Readiness forecasting — which assets are available, in scheduled maintenance, or at risk — became a continuously-updated live view rather than a periodic report.
The Optimize capability surfaced the financial dimensions: maintenance cost by asset class, workforce utilization across maintenance teams, working capital tied up in excess spare parts, and the cost-per-readiness-hour trend leadership uses to make capital allocation decisions.