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+

· MANUFACTURING

A balanced scorecard that updates as the business does.

A Balanced Business Scorecard only earns its keep if the metrics reflect what’s happening now, not what happened last quarter. The XMPro AO Platform aggregates financial, customer, internal-process and learning indicators in real time, so strategic KPIs move at the same cadence as the operations they’re tracking.

THE CHALLENGE

What's getting in the way today.

Implementing a BBS effectively in real time runs into five compounding pressures:

ISSUE 01 OPEN

Integrating diverse data sources

A meaningful scorecard consolidates data from finance, operations, customer service and learning systems — none of which speak the same language by default.

ISSUE 02 OPEN

Real-time performance metrics

Indicators have to update at the cadence of the business, not the cadence of the reporting cycle, or strategic decisions stay one period behind.

ISSUE 03 OPEN

Strategic alignment

Scorecard metrics drift away from strategic objectives unless governance keeps them tied to the goals they were designed to measure.

ISSUE 04 OPEN

Stakeholder accessibility

The scorecard has to be intelligible to the executives, managers and operators who act on it — not just to the team that built it.

ISSUE 05 OPEN

Adaptability

Strategic priorities change. The scorecard has to change with them, without a six-month re-implementation each time.

THE SOLUTION

Real-Time Balanced Business Scorecard — how it works.

A continuous scorecard fed by operational telemetry, financial systems and customer data — strategic alignment surfaced in real time and configurable to the audience that consumes it.

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

The platform aggregates real-time data across finance, operations, customer service and learning systems through an extensive connector library. Financial, customer, internal-process and learning indicators are tracked continuously against strategic objectives, with configurable dashboards drilling from executive-level scorecard summaries into the underlying operational signals. Alerts route to the right responder when indicators deviate from target. The same data layer drives operational dashboards and the scorecard, so strategic and operational views stay consistent rather than diverging across reporting cycles.

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.

Strategy that moves with operations

Indicators update at operational cadence, so strategic decisions are made against current state — not last quarter’s report.

Aligned, not duplicated, KPIs

One data layer drives both the operational dashboards and the scorecard, eliminating the divergence between reporting and reality.

Defensible reporting

Every indicator traces to the operational data that produced it — supporting both internal governance and external audit.

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.