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+

Operations Control Tower · MANUFACTURING

Run operations from the room the whole company sees.

A remote operations centre only earns its keep if the picture it presents is current, integrated and actionable. The XMPro AO Platform brings real-time data integration, AI-driven insight, prescriptive recommendations and configurable visualisation under one operational view — so the centre coordinates response rather than relaying spreadsheets.

THE CHALLENGE

What's getting in the way today.

Building an effective remote operations centre runs into four compounding pressures:

ISSUE 01 OPEN

Data scattered across systems

IoT, operational systems and external sources rarely speak the same language. Without integration, the centre never sees one picture.

ISSUE 02 OPEN

Insight without action

Dashboards present state, but recommendations and work-order creation live elsewhere — and the gap between them is where response time is lost.

ISSUE 03 OPEN

Static visualisation

Hard-coded dashboards age fast against changing operations. Without configurable visualisation, the centre stays one rebuild behind reality.

ISSUE 04 OPEN

No feedback loop

Recommendations are issued but outcomes aren’t tracked back. Continuous improvement stalls without closed-loop event response.

THE SOLUTION

Remote Operations Centre — how it works.

A unified operations centre stack — data integration, embedded AI, prescriptive recommendations and configurable visualisation under one operating picture.

Real-time data integration Predictive analytics Automated recommendations Operational dashboards AI co-pilot Audit & governance

The platform integrates real-time data from IoT devices, operational systems and external sources through an extensive connector library, with embedded AI models running inside the data stream. Prescriptive recommendations combine business rules and AI logic to surface the most appropriate next action when a specific event occurs, with outcomes tracked back against the recommendations that produced them. Interactive dashboards present a holistic operational view, configurable through drag-and-drop composition — so the centre can evolve its visualisation as quickly as operations change.

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.

WHAT CHANGES

What this looks like in operation.

One operational picture

Integrated data and visualisation replace scattered dashboards, so the centre coordinates from a single view of state.

Faster response time

Recommendations land at the point of decision with the supporting context attached, compressing the gap between insight and action.

Continuous improvement that learns

Tracking outcomes against recommendations turns each event into training data for the next.

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.