XMPro Recommendation Manager

Close the loop in real-time with automated rules-based  event response.

Take Your Operations From Reactive to Prescriptive

Create Intelligent Digital Twins That Predict Outcomes 

Harness AI-Powered Decision Making On An Operational, Tactical & Strategic Level.

XMPRO Recommendations are advanced event alerts that combine alerts, actions, and monitoring. You can create recommendations based on business rules and AI logic to recommend the best next actions to take when a certain event happens. You can also monitor the actions against the outcomes they create to continuously improve your decision-making.

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Trigger Prescriptive Recommendations When Critical Events Happen

Imagine a world where your digital twin is not just a passive repository of data but an active, always-on system that continuously monitors and interacts with the environment and assets.

Create Recommendations with a Visual Rule Builder

Action Automated >> Logic Based Rule Building

Empower your expert operators, foremen and maintenance planners to create recommendations that codify their expertise. Our visual rule builder makes it easy for business users to create and maintain recommendations without any coding knowledge. Users can set up thresholds to trigger specific recommendations when an important event occurs.

Give Your Team Real-Time Decision Support

When an event happens that triggers a recommendation, your team will see a new recommendation appear on their XMPRO eventboard. When they drill down, they’ll see:

Triage Instructions

Custom instructions created by your most knowledgeable team members

Custom Forms

Design tailored forms for tasks such as work order generation and maintenance scheduling, among others. These customizable forms are engineered to seamlessly interact with broader ERP and various OT systems, ensuring a fully integrated and cohesive operational experience.


Resources to help them respond effectively, like equipment specifications and video links


A comment section to collaborate with colleagues, ask questions and share their expertise

Contextual Data

Data from other business systems, like open work orders in your ERP or EAM system

Real-Time Visibility >> Actively Monitor Actions and Their Outcomes

We understand that you don’t just need more alerts. You need the tools to close the loop and ensure your team is responding to critical events before the opportunity expires.

With XMPRO, you can see the status of all current recommendations and identify bottlenecks before it’s too late. You can also monitor the actions your team performed against the outcomes they created to improve future decision-making.

Versatility >> Manage Your Recommendations Anywhere

Whether your team works underground or out in the field, they can use XMPRO’s mobile app to get access to the real-time decision support they need to respond to issues like equipment failure, supply chain bottlenecks and safety incidents.

Available for iOS and Android devices.

Digital twin
Digital twin

AI-Powered >> Never Fly Solo With XMPro Co-Pilot

Step into an era where AI isn’t just smart—it’s personalized and secure with XMPro Co-Pilot. This isn’t just any AI tool; it’s your bespoke business ally, trained securely on your in-house data. Imagine encapsulating decades of your team’s expertise—like the invaluable insights from employees with 40+ years on the plant floor—into a powerful digital form. That’s what XMPro Co-Pilot does. It transforms your unique data and experience into a one-of-a-kind intellectual property, creating an unmatched resource for your business.

Use XMPro Blueprints for Quick Time To Value​

Easily import Blueprints, Accelerators and Patterns into your environment, providing a starting point for configuring your own solutions.

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How It Works

Engage with this demonstration to learn how XMPro Recommendation Manager can refine the recommendation process and enhance the effectiveness of decision-making in real-time scenarios across your organization.


Use Case Examples

In the power utility sector, the use of an AI-based ‘heat-rate optimizer,’ which analyzes numerous data points in real-time and suggests performance enhancements, can overcome optimization challenges, potentially increasing efficiency by 1%, leading to substantial annual savings, reduced greenhouse gas emissions, and more efficient use of workers’ time

AI-powered Digital Twins in manufacturing can streamline cycle times, automate defect detection, and enhance inspection success, while also lowering CO2 emissions by over 10%, reducing product testing time by 45% for cost savings, and nearly eliminating defects and false alarms, a significant improvement over the previous error rate from human inspections.

AI-powered Digital Twins used for predictive maintenance of underground conveyors have facilitated real-time failure anticipation and efficient scheduling of maintenance, leading to significantly reduced downtime and an additional 44,000 tons of ore mined in a potash mine over five months which equates to millions of dollars of additional revenue.

AI-powered Digital Twins are effectively used for real-time detection of pipe bursts in water distribution systems, where the system processes pressure and flow sensor data, predicts future values using artificial neural networks (ANN), and compares these with actual observations to gauge the probability of a failure event, thereby raising relevant alarms.