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+

INDUSTRY · POWER UTILITIES

Rapidly compose AI-powered solutions across the power utilities value chain at scale.

Grid intelligence, predictive maintenance and agentic operations across generation, transmission and distribution — from substations to the meter.

THE IMPACT

What changes when XMPro lands in power & utilities.

TODAY · POWER UTILITIESFRAGMENTED
×
Grid reliability and outage events surface in headlines first
×
Asset performance degradation is diagnosed after the fact
×
Weather-related vulnerabilities cascade into outages
×
Renewable grid integration challenges intermittency
×
Energy inefficiency is unmeasured across distributed assets
×
Demand forecasting accuracy lags rapidly changing usage patterns
×
Aging infrastructure is hard to triage at scale
×
Siloed data across SCADA, GIS, OMS and ERP blocks visibility
×
Operational fault ambiguity slows the dispatcher

THE OPERATING LOOP

Detect. Decide. Coordinate. Execute.

01 DETECT

Monitor & Sense

150+ OT/IT connectors. Real-time data streams from sensors, historians, SCADA, ERP.

02 DECIDE

Analyse & Recommend

AI agents analyse operational context via OIM. Confidence-scored recommendations.

03 COORDINATE

Orchestrate Response

MAGS agents negotiate, delegate, and sequence across systems and teams.

04 EXECUTE

Act Autonomously

Governed execution within defined boundaries. Full audit trail. Human override.

Most platforms stop at Detect. XMPro completes the loop.

SOLUTION OFFERINGS

Solution categories for power utilities.

The disciplines XMPro deploys across this industry — each chip filters the solutions library to use cases of that type.

SOLUTIONS FOR POWER UTILITIES

Pre-scoped use cases for power utilities.

Each one names the operational problem, the signals the platform watches, and the governed action it drives. Filter by category or solution type — or search.

7 use cases
Browse the full Solutions Library →

AI AGENTS FOR POWER UTILITIES

Agent teams, AI agents and assistants for power utilities.

Pre-curated agents from the AI Agent Marketplace, scoped to power utilities — filter by type, search, or browse the full marketplace.

29 templates
AvailableAgent Team

Autonomous Agentic AI Team for Advanced Predictive Maintenance

Target Outcome

UNPLANNED ASSET FAILURES

Significant Reduction

Predictive intervention ahead of failure · 100% compliance review

Manufacturing+3 more
AvailableAgent Team

Autonomous Agentic AI Teams for Substation Operations

Target Outcome

EQUIPMENT UPTIME

10—20%

Improvement through predictive condition-based management

Energy & Utilities
AvailableAgent Team

Autonomous Supply Chain Optimization Team

Target Outcome

EXCEPTION RESPONSE TIME

Hours → Minutes

Routine exceptions resolved in minutes · structured escalation for high-impact

Manufacturing+4 more
AvailableAI Agent

Agentic Anomaly Detection & Root Cause Analysis Agent

Target Outcome

ANOMALY DETECTION LEAD TIME

Hours—days early

Before production impact · automated causal reasoning

Manufacturing+4 more
AvailableAI Agent

Agentic Compliance and Safety Officer Agent (Standards Guardian)

Target Outcome

POLICY COMPLIANCE RATE

99%

Continuous automated monitoring · 95% predicted incident prevention

Manufacturing+4 more
AvailableAI Agent

Agentic Energy Management Agent (Efficiency Expert)

Target Outcome

ENERGY COST REDUCTION

Measurable reduction

Proactive load management · peak demand penalty avoidance

Manufacturing+4 more
AvailableAI Agent

Agentic Equipment Monitoring Agent (Health Monitor)

Target Outcome

ANOMALY DETECTION LEAD TIME

70% earlier

vs threshold monitoring · 80% nuisance alarm reduction

Manufacturing+4 more
AvailableAI Agent

Agentic Equipment Performance Agent (Availability Specialist)

Target Outcome

UNPLANNED DOWNTIME

Measurable reduction

Proactive condition-based interventions · extended asset life

Manufacturing+4 more
AvailableAI Agent

Agentic Knowledge Synthesis & Decision Support Agent

Target Outcome

DECISION CYCLE TIME

Same-session

Synthesised multi-agent intelligence · OEE-aligned priorities

Manufacturing+4 more
AvailableAI Agent

Agentic Maintenance Coordinator Agent (Predictive Maintenance Reliability Strategist)

Target Outcome

UNPLANNED DOWNTIME

Significant reduction

Emergency repairs cost 2—3x planned · condition-based prevention

Manufacturing+4 more
AvailableAI Agent

Agentic Maintenance Schedule Planning Agent (Schedule Optimizer)

Target Outcome

OVERTIME COSTS

Significant reduction

Optimised scheduling · improved equipment availability

Manufacturing+4 more
AvailableAI Agent

Agentic Predictive Analytics Specialist Agent

Target Outcome

UNPLANNED FAILURE RATE

Significant reduction

Days—weeks advance warning · risk-based intervention timing

Manufacturing+4 more
AvailableAI Agent

Agentic Production Rate Agent (Performance Optimizer)

Target Outcome

PRODUCTION THROUGHPUT

Measurable increase

Bottleneck resolution · reduced WIP variability and overtime

Manufacturing+4 more
AvailableAI Agent

Agentic Quality Control Agent (Quality Guardian)

Target Outcome

SCRAP & REWORK COSTS

Measurable reduction

Predictive defect detection · RCA cycle 4—48 hrs → automated

Manufacturing+4 more
AvailableAI Agent

Agentic Root Cause Analysis Agent (Failure Investigator)

Target Outcome

INVESTIGATION CYCLE TIME

Significant reduction

Initial findings within hours · recurring failure rate reduced

Manufacturing+4 more
AvailableAI Agent

Agentic Simulation & Scenario Analysis Agent

Target Outcome

IMPLEMENTATION FAILURE RATE

Significant reduction

Pre-implementation simulation · high-confidence decision support

Manufacturing+4 more
AvailableAI Agent

Reporting and KPI Tracking Agent (Performance Analyst)

Target Outcome

REPORT PREP TIME

80%

Reduction in manual compilation · predictive visibility into trends

Manufacturing+4 more
AvailableAI Agent

Equipment Manual Content Agent

Target Outcome

SEARCH TIME PER QUERY

>70%

Reduction vs 15—30 min manual search · instant via natural language

Manufacturing+4 more
AvailableAI Agent

Executive Briefing Agent

Target Outcome

TIME TO INSIGHT

Days → Minutes

From manual data gathering · to continuous automated synthesis

Manufacturing+4 more
AvailableAI Agent

Root Cause Report Generator Agent

Target Outcome

RCA REPORT TIME

4—8 hrs → Minutes

Draft generated in minutes · engineer reviews, not writes

Manufacturing+4 more
AvailableAI Agent

Shift Handover Briefing Agent

Target Outcome

HANDOVER PREP TIME

20—45 min → 5 min

Auto-compiled draft · supervisor review only

Manufacturing+4 more
AvailableAI Agent

Standard Operating Procedure (SOP) Creator Agent

Target Outcome

SOP CREATION TIME

2—4 Weeks → 30 min

Compliance-checked draft · 90% backlog reduction in year one

Manufacturing+4 more
AvailableAI Agent

Supply Chain Demand Planner Agent

Target Outcome

FORECAST ERROR RATE

Below 15%

Down from 20—35% baseline · within 6—12 months

Manufacturing+4 more
AvailableAI Agent

Supply Chain Financial Performance Agent

Target Outcome

COST VARIANCE DETECTION

Real Time

Down from days—weeks lag · automated threshold alerting

Manufacturing+4 more
Browse the full AI Agent Marketplace →

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

READY TO START

Let’s map your power utilities path to autonomy.

Talk to an XMPro engineer about your environment, your starting HAS level and the lever that matters most — or explore the platform yourself in the Demo Hub.