AMI is a smart analytics and AI platform that sits alongside Hexagon EAM to:
Instead of relying only on work order history and manual inspections, AMI helps organizations see risk early and act proactively.
Not all assets carry the same level of risk. Some failures lead to minor delays, while others can cause safety incidents, production losses, or regulatory exposure.
AMI continuously evaluates assets using multiple signals such as:
By combining these factors, AMI highlights high-risk and at-risk assets, allowing maintenance and reliability teams to prioritize the right equipment—rather than treating all assets equally.
Many asset conditions cannot be fully captured through numbers alone. Field inspections, drone images, thermal images, and site photos contain valuable signals that often go underutilized.
This reduces dependency on purely manual visual checks and helps teams scale inspections without compromising accuracy.
Understanding how an asset is changing is often more important than a single inspection snapshot.
By visually comparing asset images across time periods, teams gain a clear, evidence-based view of how quickly an asset is deteriorating and whether corrective actions are working.
AMI does not replace Hexagon EAM—it amplifies it.
Maintenance teams get actionable insights. Reliability engineers get deeper analysis. Leadership gets clarity on where risk, cost, and performance intersect.
As asset environments grow more complex and skilled resources become scarce, organizations can no longer depend solely on reactive maintenance or static reports.
AMI transforms asset data—structured and visual—into practical Insights. By identifying high-risk assets, analyzing images, and tracking condition changes over time, AMI enables organizations to act before failures happen, not after.
When combined with Hexagon EAM, AMI becomes a powerful enabler of smarter, safer, and more resilient asset management.