One Critical Asset Failure Can Cost Millions
Energy Asset Management with IBM Maximo helps reduce failures, improve compliance, and optimize operations using predictive maintenance and AI.
In a 24/7 energy environment, reactive maintenance is not a strategy. It is a liability. Predict failures early, reduce risk, and keep operations running with intelligent asset management.
What Is Holding Energy Operations Back
Energy companies operate complex asset environments across utilities, oil & gas, and renewables. Many assets continue to operate beyond their lifecycle, increasing risk and maintenance costs.
Disconnected systems, manual compliance tracking, and workforce gaps create blind spots. These gaps increase operational risk, delay decisions, and expose organizations to regulatory challenges.
Where Energy Operations Break Down:
- Aging assets operating beyond lifecycle
- Compliance risks due to manual tracking
- Disconnected systems across SCADA, ERP, and GIS
- Workforce knowledge gaps and dependency on manual processes
- Increasing complexity from renewable and distributed energy assets
Operational blind spots are increasing risk across energy operations every day.
Measured Impact Across Energy Operations
- 40% reduction in critical asset failures
- 30% reduction in compliance effort
- 25% reduction in maintenance costs
- Improved asset lifecycle management
- Increased operational efficiency and reliability
Move from reactive maintenance to predictive, reliability-driven operations with intelligent asset management.
Apply maximo asset operations to a defined use case.
Use a condition signal from a high-priority energy asset to initiate maintenance review. Combine operating context and maintenance history, then validate how the planner assesses the recommendation and authorizes any resulting work.
Define the engagement scope.
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 operating result.
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.
Prepare for a focused working session.
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.
Make the next step specific.
Bring your operating context, priorities and questions. We’ll help identify the relevant next step.
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