Modernize Utility Operations with AI-Powered Asset Management

Utility organizations often manage assets across multiple systems with limited visibility. This leads to delayed response, compliance challenges, and increased operational complexity.

Manual processes and disconnected field operations create inefficiencies that impact service reliability and regulatory performance.

• Aging infrastructure without predictive monitoring increases failure risk
• Manual inspection and work order processes delay response times
• Disconnected GIS, SCADA, and EAM systems create operational gaps
• Limited visibility leads to safety and compliance risks
• Regulatory reporting gaps increase audit and penalty exposure

Traditional systems cannot support the growing demands of modern utility operations.

What You Can Achieve with IBM Maximo for Utilities

• Unified platform connecting asset, field, and compliance data
• Integration of MAS Manage, MAS Health, and GIS systems
• Predictive monitoring to detect failures before they occur
• Automated inspection workflows and compliance reporting
• Improved coordination across field teams and operations
• Real-time visibility into asset performance and risks

A connected approach enables better decision-making, improved reliability, and reduced operational costs.

Book a Meeting

Coordinate a utility asset inspection with the maintenance work and field information required to address an exception. Test priority handling, incomplete condition data and the operating team’s approval process.

Start with the asset hierarchy, work-management process and information needed by planners, technicians and operating teams. Review how inspection findings, condition signals, maintenance history and work orders are connected in the selected Maximo environment. Define the application scope and integrations before choosing configuration or customization changes.

Validate the complete path from an observed condition to an authorized work action. Include incomplete asset data, duplicate notifications, material availability, mobile connectivity and supervisory review. Predictive or AI-assisted recommendations should provide evidence for the responsible person; their use does not remove operational approval or maintenance accountability.

Bring the asset register, representative work orders, current Maximo deployment details, integration list and maintenance priorities. Agree the pilot population, data-quality checks and acceptance scenarios. Deliverables can include the process design, configuration scope, integration requirements and support handover, with responsibility assigned for ongoing asset-data quality.