Put intelligence where maintenance decisons happen

Procex applies maintenance intelligence at the point where those decisions are made - while there is still time to act.

Maintenance performance is shaped by thousands of daily decisions

  • What work is ready?

  • How should this order be planned?

  • Which backlog should move first?

  • What is likely to disrupt the schedule?

SAP foundation. Procex maintenance intelligence.

SAP

SAP EAM + SAP BTP + SAP Business AI + Joule

Remains the system of record

It connects

Provides the embedded automation and intelligence backbone behind Procex applications.

Procex.AI

Provide the enterprise system, technology and AI foundation

Procex applications

Apply that intelligence to specific maintenance problems

Maintenance professionals

Review recommendations and make the final decison

  • Customer maintenance context

  • Application data

  • Recommendations

  • How should this order be planned?

  • Which backlog should move first?

  • What is likely to disrupt the schedule?

Customer knowledge becomes reusable.

Each application delivers value independently.

Together, they create growing customer-specific maintenance intelligence.

Procex Insight

can determine whether the recurring issue represents a larger improvement opportunity

Maintenance Barrier Tracking

identifies that planned work repeatedly fails because a particular readiness condition is missing

Readiness Gatekeeper

can use that pattern when evaluating future work

Work Order Planning Assistant

can consider execution results when recommending future plans

Procex.AI retains that customer-specific execution evidence

Consider a simple example.

Context matters

The recommendation reflects the maintenance situation - not merely a generic model response.

  • Equipment and asset context

  • Historical work

  • Priority

  • Materials

  • Labor

  • Readiness

  • Prior barriers

  • Customer-specific rules

  • Planner decisions

  • Actual execution results

Useful maintenance recommendations require more than generic AI.

Depending on the application, Procex can consider information such as:

AI recommends. People decide.

Maintenance accountability stays with maintenance.

Recommendations are presented to the maintenance professional responsible for the decision.

Procex can provide supporting evidence, confidence and reaionale where appropriate.

The user can accept, change or reject the recommendation.

Start with one application. Learn. Expand.

Because Procex.AI is already included, the shared intelligence foundation grows naturally as adoption expands.

There is no need to deploy the full Procex portfolio.

Begin with the problem that offers the clearest value.

Prove the application in actual operations.

Measure the outcome.

Add another application when there is a compelling business reason.

Procex Technology, Inc.

1326 N. Sandburg Ter.

Chicago, IL 60610

contact@procextechnology.com

+1 (312) 480-8888

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