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+

AI ACROSS THE AO PLATFORM

Intelligence at Every Level of Autonomy

AI isn't a module you bolt on. It's embedded in data streams, woven into operational interfaces, and orchestrated through multi-agent teams — governed at every step.

From monitoring dashboards to 15+ day autonomous operations. One platform. Progressive autonomy.

Explore the Progression See MAGS in Action

THE HUMAN AGENCY SCALE

Five Levels. One Progression. Your Pace.

Every organisation starts somewhere on the autonomy spectrum. XMPro meets you where you are and provides the path forward — from real-time dashboards to fully autonomous multi-agent operations.

READ-ONLY

Monitoring

AI observes data streams and surfaces anomalies. Embedded analytics in StreamDesigner detect patterns, predict failures, and alert operators. Humans make all decisions.

Agent
Human
Agent Role
Observe & Alert
Human Role
Decide & Act
Efficiency
5-10%
Capabilities
Real-time anomaly detection in data streams
Predictive models embedded at the edge
Threshold-based alerting with confidence scores
Equipment health dashboards with live telemetry
Explore StreamDesigner
HAS-01MONITORING
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COMPOSITE AI

Not Just LLMs. Industrial Intelligence Requires More.

90% intelligence layer, 10% utility layer. XMPro orchestrates Causal AI, Predictive Models, Symbolic Reasoning, Generative AI, and Mathematical Models into a unified framework — not just chatbot wrappers.

PREDICT

Predictive Analytics

Regression, decision trees, SVMs, time-series forecasting — embedded directly in data streams for real-time predictions.

DETECT

Anomaly Detection

Clustering, statistical models, and deep learning for real-time anomaly detection across equipment and processes.

GENERATE

Generative AI

LLMs, transformers, and BYO model support for natural language analysis, document generation, and conversational interfaces.

REASON

Symbolic Reasoning

OIM semantic models, DecisionGraph knowledge graphs, and SHACL validation for structured reasoning over operational knowledge.

CAUSE

Causal AI

Root cause analysis, causal inference, and counterfactual reasoning — understanding why, not just predicting what.

COMPUTE

Mathematical Models

FFT, simulation, optimisation algorithms, and physics-based models for engineering-grade analysis and digital twins.

GOVERNED AI

Two-Layer Safety. Every Decision Audited.

Industrial AI must be trustworthy. XMPro's two-layer safety architecture ensures agents operate within governed boundaries — with full audit provenance on every decision.

LAYER 1 — COGNITIVE

Cognitive Safety

Agent-side reasoning about safety. Agents can express uncertainty, request human input, and self-limit when operating outside known parameters.

Confidence scoring on all recommendations
Competence certification via demonstrated performance
Self-escalation when outside authority bounds
LAYER 2 — ENFORCEMENT

Enforcement Safety

Platform-side hard limits that cannot be overridden by agents. Safety locks, governance pipeline, immutable audit trail.

8-stage fail-closed governance pipeline
Safety locks — immutable human override
Five-coordinate decision provenance on every action

PRODUCTION PROVEN

Trusted by Industrial Operators

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

Sustained Autonomy at Enterprise Scale

MAGS agents are achieving what no other industrial platform has demonstrated.

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

Ready to Add Intelligence to Your Operations?

Start at any HAS level. Progress at your pace. One platform from monitoring to full autonomy.

Talk to an Expert View Demos