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 · MANUFACTURING

Procurement to receivables, monitored as one operating signal.

Cash-to-cash cycle time is set by the slowest link in procurement, production, inventory and receivables — yet most operations only see those links one at a time. The XMPro AO Platform integrates the whole sequence into a single real-time picture so the bottleneck shows itself, not the spreadsheet that catches it three weeks late.

THE CHALLENGE

What's getting in the way today.

Cash-to-cash time stretches across five recurring pressures:

ISSUE 01 OPEN

Inefficient processes

Production delays, supply-chain hand-off gaps and weak inventory control extend the time between cash going out and cash coming back.

ISSUE 02 OPEN

Data silos

Procurement, production, sales and finance each hold a piece of the cycle and rarely share it — so decisions run on partial views.

ISSUE 03 OPEN

Limited supply-chain visibility

Lead-time surprises and inventory shortfalls land as events instead of signals, with no way to act ahead of them.

ISSUE 04 OPEN

Inaccurate demand forecasting

Excess inventory ties up cash, insufficient inventory loses sales — both stretch the conversion cycle.

ISSUE 05 OPEN

Receivables and payables drag

Inefficient invoice, collection and payment processes add days to the cycle that nothing in operations can recover.

THE SOLUTION

Cash-to-Cash Cycle Reduction — how it works.

A unified picture of process health from procure-to-pay through to order-to-cash — integrated, monitored continuously, and surfaced for operations, supply chain and finance as one signal.

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

The platform integrates data from procurement, inventory, production and finance into a single real-time view, with a digital twin of the end-to-end business process. Predictive analytics forecast demand and supply-chain disruption, so inventory and procurement can be tuned ahead of the event. Real-time monitoring tracks inventory turnover and aging, production cycle time, supplier lead time, order-to-cash and procure-to-pay metrics. Anomalies in any link generate automated recommendations to the relevant team. Customisable dashboards expose the cycle to operations managers, supply chain and finance with the granularity each role needs, and the same telemetry supports receivables and payables optimisation.

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.

End-to-end cycle visibility

The bottleneck reveals itself — procurement, production, inventory or receivables — because the same dashboard sees them all.

Predictive inventory management

Demand forecasts and supply-chain anomaly detection let inventory and procurement act ahead of the disruption, not behind it.

Defensible working-capital decisions

Operations, supply chain and finance act on the same numbers, so working-capital decisions stand up to scrutiny rather than reconciliation.

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.