Your Facilities Are Talking, Is Anyone Listening? AI-Powered Asset Lifecycle Management

The federal government manages more than 300,000 buildings and structures, yet deferred maintenance backlogs have surpassed $370 billion due to aging infrastructure and fragmented asset data. Facility managers often rely on disconnected systems for maintenance records, compliance tracking, and inventory management, forcing agencies into costly reactive repair cycles rather than predictive planning. IBM Maximo Application Suite addresses these challenges by unifying asset lifecycle management with AI-driven predictive maintenance and IoT-enabled condition monitoring in a FedRAMP-ready platform. With its upcoming SaaS offering for federal environments, Maximo enables agencies to shift from reactive break-fix operations to data-driven, condition-based maintenance that improves reliability, reduces downtime, and lowers total cost of ownership.