A maintenance team reviewing an equipment-health alert must decide whether to inspect the asset, schedule a repair or take it out of service. With prescriptive maintenance, engineers can evaluate recommended actions based on equipment condition and maintenance history, as well as operational constraints and safety requirements. 

IBM’s overview of prescriptive maintenance describes how teams use equipment-condition data to recommend interventions, taking into account operational and financial constraints. For an implementation team, that means connecting the recommendation to the systems through which planners organize maintenance and obtain approvals.  

A planner needs to see the evidence behind a recommendation and the conditions required to carry it out. I would keep those checks visible through to job approval, including unresolved constraints that require someone’s decision. 

Connecting equipment condition to the maintenance decision  

Consider a manufacturing scenario involving a critical production asset. A maintenance team uses an AI-powered condition-monitoring system to identify early signs of bearing deterioration from vibration and temperature patterns. The team receives an alert about a potential failure before the next scheduled maintenance shutdown.  

The responsible engineer must assess whether to intervene before that shutdown, plan a repair during it, or request further monitoring. To compare these options, the engineer reviews the asset’s criticality, maintenance history and established maintenance instructions against engineering safety requirements. The planner checks the availability of spare parts and qualified resources against the production schedule.  

Suppose the engineer recommends replacing the bearing during a planned stoppage after reviewing those options. Before releasing the work order, the planner must confirm that a compatible part and qualified personnel are available and that the planned stoppage falls within the intervention window approved by the engineer. If a part is unavailable or the dates conflict, the planner must refer the constraint back for review.  

Engineers must assess the permitted intervention window against the plant’s safety requirements. Planners can then compare costs and production commitments within those limits.  

Checking whether the recommended action is executable  

I would distinguish between technical suitability and operational feasibility when evaluating an AI-generated maintenance recommendation. The reliability engineer checks whether the proposed intervention addresses the equipment condition and complies with engineering requirements and maintenance instructions. The planner checks whether the organization has the parts and qualified resources to perform the work within the production schedule.  

A team may accept the technical recommendation yet lack the resources to execute it. By connecting ERP and enterprise asset management records, developers can give reviewers access to the outstanding constraints and required approvals.  

A planner reviewing “inspect asset” needs more detail before assigning work: the equipment identifier and task; the reason for the inspection and its required timing. Developers should retain links to the supporting evidence and identify information that reviewers still need to confirm.   

For the bearing replacement, the planner needs to check compatibility and availability. A colleague may have reserved the recorded stock for another job. Procurement may hold an alternative part that requires engineering approval. The reviewer needs to see those distinctions before accepting the inventory check.  

Production managers must confirm that they can release the equipment during the proposed slot. Maintenance planners must confirm the required personnel. If their schedules conflict, the designated reviewer needs the unresolved constraint and authority to coordinate a response.  

Closing the integration gap  

Developers need to identify which system holds the authoritative record for each step. A plant may use a computerized maintenance management system (CMMS), an enterprise asset management (EAM) platform or an ERP maintenance module to manage work. Procurement staff and budget holders may use separate systems. The integration team should agree which records it can create or change in each application.  

In the bearing example, the maintenance planner needs the asset identifier and proposed intervention, with evidence supporting its urgency. Procurement staff need an approved requirement for a compatible part. Developers should define those handoffs before connecting the applications.   

The integration team must map equipment identifiers between the monitoring platform and maintenance system. If developers cannot establish an unambiguous match, they should prevent the workflow from updating an asset record and send the mismatch for review.  

Developers should check the resulting record and its status after an API request. The receiving application may create a draft work order that still requires approval or a parts reservation. Planners need that status before treating the job as ready for execution.  

Keeping approval and exceptions visible  

Before enabling automated actions, the implementation team should assign reviewers to specific decisions. In this proposed workflow, a reliability engineer reviews technical suitability and a planner coordinates resources. A budget holder approves expenditure where the plant requires it. Plant managers should adapt these responsibilities to their own organization.  

An implementation team can begin with software that prepares recommendations and draft work orders while people retain release authority. Before extending automation, engineers should assess the consequences of error and validate the controls for the proposed action. Purchasing a component and changing an equipment operating parameter require separate decisions about permissions.  

A reviewer handling an unconfirmed part needs the affected asset and proposed task, alongside the unresolved inventory check. With a generic “approval required” notification, that person must reconstruct the issue before making a decision.  

Developers should preserve the source alert and completed checks, together with the recommendation, human changes and work-order reference. They can distribute those records across the relevant systems, provided a reviewer can follow the links and reconstruct the decision.  

Measuring the response through to completion  

After completing the work, technicians should record the equipment condition they found and the intervention they performed. Engineers can compare those findings with the original recommendation. Planners should record any changes they made because of parts availability or production constraints.  

For an initial deployment, I would measure the time from identifying a potential failure to approving a maintenance plan, and the percentage of recommendations that require manual intervention. I would track delays by cause, including unavailable parts, resource shortages and production constraints.  

Engineers should compare the recommended intervention with technicians’ findings after maintenance to assess whether it addressed the observed equipment condition. Over time, the evaluation team could assess changes in unplanned downtime and asset availability, maintenance costs, and overall equipment effectiveness (OEE).  

The evaluation team needs to define a baseline before assessing those changes or claiming financial benefits. Completing a work order does not establish that the team prevented a failure. For an initial assessment, I would limit the scope to one asset class and a defined set of interventions so engineers can examine the decisions and outcomes.  

For the bearing replacement, the team should be able to trace the original condition alert through engineering review and resource checks to the completed work. That trace gives engineers a basis for correcting recommendations and planners a way to identify recurring delays. It gives the next reviewer a record of the action the team took and the reasons behind it.