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 · OIL & GAS

Rapidly compose AI-powered solutions across the oil & gas value chain at scale.

XMPro is the agentic operations platform for upstream, midstream and downstream oil & gas — governed AI for asset integrity, production optimisation and emissions performance.

TARGETED OUTCOME
10-30% Increase Overall Equipment Effectiveness (OEE)
TARGETED OUTCOME
up to 100% Increase production capacity
TARGETED OUTCOME
10-30% Increased pipeline utilisation
TARGETED OUTCOME
30-50% Reduced unplanned downtime
TARGETED OUTCOME
20-40% Increased inventory turnover
TARGETED OUTCOME
10-30% Quicker delivery time
TARGETED OUTCOME
20-50% Reduced cycle time
TARGETED OUTCOME
10-25% Increased operational efficiency

*Targeted outcomes with indicative ranges · actuals vary by environment.

THE IMPACT

What changes when XMPro lands in oil & gas.

TODAY · OIL & GASFRAGMENTED
×
Equipment downtime is reactive across pumps, compressors and rotating equipment
×
Process inefficiency goes unmeasured across the value chain
×
Anomalies in well, pipeline or refinery operations surface late
×
Quality defects are caught downstream, not at the source
×
Maintenance costs spiral with run-to-failure cycles
×
Energy inefficiency is invisible across distributed operations
×
Production losses are diagnosed after the shift
×
Supply chain disruptions cascade into production
×
Siloed data across SCADA, historians and ERP blocks visibility
×
Worker safety hazards on remote sites are diagnosed after the fact
×
ESG and emissions compliance tracked across fragmented systems
×
Operational fault ambiguity slows commander-on-the-floor decisions

THE OPERATING LOOP

Detect. Decide. Coordinate. Execute.

SOLUTION OFFERINGS

Solution categories for oil & gas.

Select your use case.

SOLUTIONS FOR OIL & GAS

Pre-scoped use cases for oil & gas.

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.

4 use cases
Browse the full Solutions Library →

AI AGENTS FOR OIL & GAS

Agent teams, AI agents and assistants for oil & gas.

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

29 templates
AvailableAgent Team

Agentic Downstream Oil & Gas Rotating Equipment Optimization Team

Target Outcome

UNPLANNED DOWNTIME

Significant Reduction

Proactive multi-objective intervention · compressors, pumps & turbines

Oil & Gas
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 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.

15+
Days Autonomous
Safety-critical petrochemical operations
3-5+
Agents Per Team
Specialized agents coordinating per use case
50+
Teams Deployable
Scale across sites and business units
100%
Governed
Every agent, every decision, every action, auditable

READY TO START

Let’s map your oil & gas 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.