Let's connect ↗Pragma Edge scopes Maximo Predict initiatives around asset data readiness, predictive-use-case evaluation and integration into maintenance decisions.
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.
Predictive maintenance requires enough relevant evidence to support a useful decision. Start by examining failure history, operating conditions and the cost of false alerts. Verify product availability and deployment fit before investing in a particular predictive workflow.
Review condition history, operating context and failure or work-order records for the selected equipment family.
Define the maintenance decision and evaluation approach. Assess whether the available evidence can support a useful prediction.
Connect evaluated outputs to maintenance review with clear uncertainty and ownership. Capture the resulting action to inform future assessment.
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.
Baseline the measures relevant to your engagement, then compare results through implementation and operation.
A reliability team evaluates whether historical readings can help prioritize inspections for a specific equipment family before attempting broader rollout.
Move from the platform question to the product or service that supports your workflow.