Let's connect ↗Connect predictive-maintenance evaluation to asset history, condition evidence and the decisions maintenance planners can act on.
Asset programs are connecting inspection, condition signals and AI-assisted insight with work management. The difficult handoff is often between finding a problem and getting the right person to act with the right context.
Pragma Edge organizes asset work around See, Listen, Think and Act. We connect asset data, inspection evidence, monitoring and prioritization with planning and field execution, choosing the scope that fits the customer environment.
Start with a representative asset class and a maintenance journey. Validate data quality, agree when an observation warrants action, and review whether the resulting work improves the operating process before expanding coverage.
Define the equipment family, maintenance action and prediction horizon being evaluated.
Review operating history, condition readings and maintenance outcomes for usable coverage.
Present predictions with context and uncertainty, then capture the maintenance decision and result.
Assess failure history, condition data and asset coverage before selecting predictive use cases. Validate outputs with reliability specialists and define when a prediction should influence work.
For Predictive Maintenance with IBM Maximo, focus the engagement on choose a useful decision, assess data and evidence, integrate reviewed findings. Agree acceptance evidence for each workstream with its business and technical owners.
Baseline the measures relevant to your engagement, then compare results through implementation and operation.
A reliability team evaluates whether existing observations can support earlier inspection of a particular equipment family.
Use your current environment, a representative workflow and its exceptions to define the work. Confirm the supported versions, integration boundaries, acceptance criteria and delivery responsibilities before implementation.
Discuss your environment →Explore the related technology and its role in your business process.