TARGETED OUTCOME
10-30% Increase Overall Equipment Effectiveness (OEE) 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 outcomes with indicative ranges · actuals vary by environment.
THE IMPACT
What changes when XMPro lands in oil & gas.
THE OPERATING LOOP
Detect. Decide. Coordinate. Execute.
Most platforms stop at Detect. XMPro completes the loop.
Solution categories for oil & gas.
The disciplines XMPro deploys across this industry — each chip filters the solutions library to use cases of that type.
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.
Condition Monitoring
Bad actors first, hybrid engineering + ML models, asset-class templates — condition monitoring run as a programme.
Oil Well Maintenance Planning
Plan well interventions on actual condition with synchronised crew, rig and parts allocation.
Oil Well RTP Monitoring
Real-time well, equipment and parameter monitoring during return-to-production with predicted maintenance.
Heat Exchanger Fouling Prediction
Forecast heat exchanger fouling from live U-coefficient trends — clean during planned outages, not unplanned ones.
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.
AvailableAgent Team
Agentic Downstream Oil & Gas Rotating Equipment Optimization Team
Target Outcome
UNPLANNED DOWNTIME
Significant Reduction
Proactive multi-objective intervention · compressors, pumps & turbines
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
AvailableAgent Team
Autonomous Supply Chain Optimization Team
Target Outcome
EXCEPTION RESPONSE TIME
Hours → Minutes
Routine exceptions resolved in minutes · structured escalation for high-impact
AvailableAI Agent
Agentic Anomaly Detection & Root Cause Analysis Agent
Target Outcome
ANOMALY DETECTION LEAD TIME
Hours—days early
Before production impact · automated causal reasoning
AvailableAI Agent
Agentic Compliance and Safety Officer Agent (Standards Guardian)
Target Outcome
POLICY COMPLIANCE RATE
99%
Continuous automated monitoring · 95% predicted incident prevention
AvailableAI Agent
Agentic Energy Management Agent (Efficiency Expert)
Target Outcome
ENERGY COST REDUCTION
Measurable reduction
Proactive load management · peak demand penalty avoidance
AvailableAI Agent
Agentic Equipment Monitoring Agent (Health Monitor)
Target Outcome
ANOMALY DETECTION LEAD TIME
70% earlier
vs threshold monitoring · 80% nuisance alarm reduction
AvailableAI Agent
Agentic Equipment Performance Agent (Availability Specialist)
Target Outcome
UNPLANNED DOWNTIME
Measurable reduction
Proactive condition-based interventions · extended asset life
AvailableAI Agent
Agentic Knowledge Synthesis & Decision Support Agent
Target Outcome
DECISION CYCLE TIME
Same-session
Synthesised multi-agent intelligence · OEE-aligned priorities
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
AvailableAI Agent
Agentic Maintenance Schedule Planning Agent (Schedule Optimizer)
Target Outcome
OVERTIME COSTS
Significant reduction
Optimised scheduling · improved equipment availability
AvailableAI Agent
Agentic Predictive Analytics Specialist Agent
Target Outcome
UNPLANNED FAILURE RATE
Significant reduction
Days—weeks advance warning · risk-based intervention timing
AvailableAI Agent
Agentic Production Rate Agent (Performance Optimizer)
Target Outcome
PRODUCTION THROUGHPUT
Measurable increase
Bottleneck resolution · reduced WIP variability and overtime
AvailableAI Agent
Agentic Quality Control Agent (Quality Guardian)
Target Outcome
SCRAP & REWORK COSTS
Measurable reduction
Predictive defect detection · RCA cycle 4—48 hrs → automated
AvailableAI Agent
Agentic Root Cause Analysis Agent (Failure Investigator)
Target Outcome
INVESTIGATION CYCLE TIME
Significant reduction
Initial findings within hours · recurring failure rate reduced
AvailableAI Agent
Agentic Simulation & Scenario Analysis Agent
Target Outcome
IMPLEMENTATION FAILURE RATE
Significant reduction
Pre-implementation simulation · high-confidence decision support
AvailableAI Agent
Reporting and KPI Tracking Agent (Performance Analyst)
Target Outcome
REPORT PREP TIME
80%
Reduction in manual compilation · predictive visibility into trends
AvailableAI Agent
Equipment Manual Content Agent
Target Outcome
SEARCH TIME PER QUERY
>70%
Reduction vs 15—30 min manual search · instant via natural language
AvailableAI Agent
Executive Briefing Agent
Target Outcome
TIME TO INSIGHT
Days → Minutes
From manual data gathering · to continuous automated synthesis
AvailableAI Agent
Root Cause Report Generator Agent
Target Outcome
RCA REPORT TIME
4—8 hrs → Minutes
Draft generated in minutes · engineer reviews, not writes
AvailableAI Agent
Shift Handover Briefing Agent
Target Outcome
HANDOVER PREP TIME
20—45 min → 5 min
Auto-compiled draft · supervisor review only
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
AvailableAI Agent
Supply Chain Demand Planner Agent
Target Outcome
FORECAST ERROR RATE
Below 15%
Down from 20—35% baseline · within 6—12 months
AvailableAI Agent
Supply Chain Financial Performance Agent
Target Outcome
COST VARIANCE DETECTION
Real Time
Down from days—weeks lag · automated threshold alerting
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.
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
