See It Work
See It Work
SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+ SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+

Process & Production Monitoring · WATER UTILITIES

Turn alarm floods into ranked, actionable signals.

DCS and SCADA systems generate thousands of level 3 and 4 alarms that operators cannot triage in real time. Many of those alarms are the earliest indicators of equipment or process failure. The XMPro AO Platform aggregates, groups and ranks them so reliability and process engineers see the signals that matter — not the noise that buries them.

THE CHALLENGE

What's getting in the way today.

Industrial plants face a structural problem with low-priority alarms from DCS and SCADA systems. Three pressures compound:

ISSUE 01 OPEN

Alarm overload

Operators are routinely overwhelmed by the volume of level 3 and 4 alarms, which leads to delayed or missed responses.

ISSUE 02 OPEN

Missed leading indicators

Many lower-priority alarms are the earliest indicators of equipment degradation or process drift — lost in the flood, they cost the plant.

ISSUE 03 OPEN

Ineffective triage

Without prioritisation and grouping mechanisms, every alarm carries the same weight in the operator’s attention, which is the same as no prioritisation at all.

THE SOLUTION

Alarm Management & Triage — how it works.

Aggregate, group and rank level 3 and 4 alarms so the leading indicators surface to the right person — reliability engineer, process engineer or operator — with the context needed to act.

Real-time data integration Anomaly detection Automated recommendations Operational dashboards Audit & governance

The platform ingests alarm streams from DCS and SCADA systems in real time, aggregating and categorising level 3 and 4 alarms by asset, area and pattern. Recommendation rules built on historical data and engineering input flag the alarms that are leading indicators of equipment or process failure. Reliability and process engineers review grouped alarms through operational dashboards with drill-down to the underlying telemetry. Prioritised alerts route to the right responder with severity, likely cause and recommended action attached, so triage moves from reactive to ranked.

SEE IT IN YOUR ENVIRONMENT

Scope this for your operation.

Tell us about your fleet, your control maturity and the lever that matters most. We’ll map this use case to your starting point.

WATCH

Alarm Management & Triage — explainer.

WHAT CHANGES

What this looks like in operation.

Faster response to critical alarms

Ranked, grouped alarms let operators and engineers respond to leading indicators before they become production events.

Extended equipment life

Proactive intervention on alarm-driven degradation signals extends the useful life of ageing assets.

Lower operational risk

Better triage reduces the chance that a quiet leading indicator becomes a loud failure.

DEPLOYED IN

Built for these industries.

PRODUCTION-PROVEN

Not a concept. In production.

XMPro is deployed at Tier 1 global operators across asset-intensive and mission-critical industries — delivering measurable results across predictive maintenance, process optimisation and operational intelligence.

VERIFIED RESULT — OIL & GAS
$16M Saved every year
18% Reduction in field service trips
95% Reduction in maintenance planning

Customer Case Study

Using XMPro, a global oil and gas supermajor rapidly composed and deployed an intelligent oil well maintenance solution in just three months -- achieving over $8 million in calculated value within the first six months.

VERIFIED RESULT — MINING
$10M Saved every year
30% Reduction in conveyor downtime
9,000t Saved every month

Customer Case Study

Using XMPro, the world's largest potash mining company rapidly composed and deployed a predictive maintenance solution for over 50 miles of underground conveyors in just 30 days, achieving $10 million in savings every year by reducing unplanned downtime by over 30%.

VERIFIED RESULT — ENTERPRISE SCALE
6 Sites with in-house adoption
1,000+ Assets monitored
35+ Operational, tactical and strategic use cases

Customer Case Study

XMPro enabled the in-house engineering team at a major North American miner to independently compose 35 operational, tactical and strategic solutions across six sites, scaling to monitor and manage over 1,000 diverse critical assets.

"XMPro successfully triggered a real predictive maintenance alert for a Haul Truck that appears to have a Strut issue - This was particularly impressive, considering we have only deployed the development environment a few weeks ago"

-- Advanced Predictive Maintenance Lead, major global mining company

AUTONOMOUS OPERATIONS

Now pushing the frontier.

MAGS agents are achieving what no other industrial platform has demonstrated — sustained autonomous operations at enterprise scale.

0+
Days Autonomous
Safety-critical petrochemical operations
3-0+
Agents Per Team
Specialized agents coordinating per use case
0+
Teams Deployable
Scale across sites and business units
0%
Governed
Every agent, every decision, every action — auditable

SCOPE FOR YOUR SITE

Let’s scope this for your operation.

Talk to an XMPro engineer about your environment, your starting HAS level and the lever that matters most — or browse more solutions.