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 · WATER UTILITIES

Flood risk, watched as an operational signal.

Climate-driven flooding stresses water infrastructure faster than traditional planning cycles can react. The XMPro AO Platform fuses meteorological, hydrological and asset data to forecast flood events, rank assets by risk, and coordinate response — before the water arrives.

THE CHALLENGE

What's getting in the way today.

Flood management strains water utilities across three reinforcing pressures:

ISSUE 01 OPEN

Accurate flood prediction

Forecasting depends on fusing meteorological, hydrological and geographical data — most of which live in different systems with different cadences.

ISSUE 02 OPEN

Effective response planning

Coordinating crews, barriers and water-resource management against an unfolding flood demands a shared operational picture, not separate spreadsheets.

ISSUE 03 OPEN

Public safety and communication

Residents, businesses and regulators need accurate, timely updates — silence or stale information is its own risk.

THE SOLUTION

Flood Prediction & Response — how it works.

A unified control tower for flood risk across the network — predictive, asset-aware, and tied to the response workflows that have to act on the forecast.

Real-time data integration Predictive analytics Anomaly detection Automated recommendations Operational dashboards Digital twin simulation

The platform ingests weather-station, hydrological and geographical data continuously and combines it with live telemetry from treatment plants, pump stations, reservoirs and pipe networks. ML-based flood-prediction models forecast event timing, location and severity with confidence scoring, while asset-level digital twins assess vulnerability across the estate. Predicted risk drives ranked recommendations — activate flood barriers, adjust pump operations, intensify water-quality testing, release reservoir capacity — routed through the platform’s recommendation engine to the right responder. Operator dashboards show colour-coded asset risk on an interactive map, 7-day forecasts and live weather warnings, with drill-down to per-asset detail and automated public-communication channels.

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.

Earlier protective action

Predictive forecasts move response into planned mobilisation rather than emergency improvisation.

Coordinated response

A single operational picture across weather, assets and crews replaces fragmented dashboards and ad-hoc phone trees.

Defensible public communication

Automated alerts and post-event reporting give residents and regulators an evidence trail, not a press release.

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.