TARGETED OUTCOME
10-30% Increase Overall Equipment Effectiveness (OEE) INDUSTRY · MANUFACTURING
Rapidly compose AI-powered solutions across the manufacturing value chain at scale.
Real-time process intelligence and agentic operations for discrete and process manufacturing — OEE, quality, supply chain and human-in-the-loop autonomy.
*Targeted outcomes with indicative ranges · actuals vary by environment.
THE IMPACT
What changes when XMPro lands in manufacturing.
THE OPERATING LOOP
Detect. Decide. Coordinate. Execute.
Solution categories for manufacturing.
Select your use case.
Pre-scoped use cases for manufacturing.
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.
Conveyor Belt Monitoring & Optimisation
Real-time monitoring, predicted failure modes and energy-efficient operation across every conveyor on the line.
Compressor Condition Monitoring
Zone-based compressor monitoring with predicted failure modes routed directly into work-request creation.
Hydraulic System Condition Monitoring
Zone-based hydraulic system monitoring with predicted failure modes routed directly into work-request creation.
Condition Monitoring
Bad actors first, hybrid engineering + ML models, asset-class templates — condition monitoring run as a programme.
EV Battery Assembly Optimisation
Real-time monitoring, predictive quality scoring and parameter optimisation across every step of EV battery assembly.
Improve First Pass Yield
Predictive quality and ranked process-parameter recommendations across every stage of the production line.
Cash-to-Cash Cycle Reduction
End-to-end cash-to-cash visibility across procurement, production, inventory and receivables.
Performance Management
Real-time KPIs, embedded AI and prescriptive recommendations — performance management as a continuous capability.
Roller Cooling Pipe Scaling Prediction
Predict scale build-up in cooling pipes from flow, pressure and chemistry data — clean before efficiency collapses.
Aircraft Component Predictive Maintenance
Stream-based component health monitoring with AOG-risk prediction and audit-ready airworthiness traceability.
Pasteurisation Predictive Maintenance
Predict heat-exchanger fouling, pump wear and pasteurisation drift before quality or compliance slips.
Robotic Arm Predictive Maintenance
Per-arm prediction across mechanical wear and electrical faults — current, vibration, temperature and acoustic telemetry fused into ranked actions.
Predictive Maintenance
Three-step PdM: prioritise bad actors, predict with hybrid models, scale through reusable asset-class templates.
Beer Process Optimisation
Real-time brewing telemetry with predictive control — tune fermentation against the batch in progress, not last quarter’s report.
Dairy Process Optimisation
Real-time process control and predictive analytics across pasteurisation, curd processing and aging — cheddar that ages to spec.
Process Optimisation
Real-time data, AI-driven recommendations and operator-facing dashboards — process improvement that lives in the stream.
Real-Time Balanced Business Scorecard
Real-time financial, customer, process and learning indicators — strategic alignment that moves at operational cadence.
Real-Time Safety Monitoring
Environmental, equipment and worker telemetry unified — real-time hazard detection, routed response and automated compliance reporting.
Remote Operations Centre
Integrated data, embedded AI and configurable visualisation — a remote operations centre that coordinates response, not spreadsheets.
Short-Term Inventory Planning
Live inventory, demand forecasting and ranked replenishment actions across the short-term planning horizon.
Agent teams, AI agents and assistants for manufacturing.
Pre-curated agents from the AI Agent Marketplace, scoped to manufacturing — filter by type, search, or browse the full marketplace.
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 Agentic AI Team For OEE Optimization In Manufacturing
Target Outcome
OVERALL EQUIPMENT EFFECTIVENESS
60—75% → Higher
Baseline 60—75% · improvement across all three OEE pillars
AvailableAgent Team
Autonomous Supply Chain Optimization Team
Target Outcome
EXCEPTION RESPONSE TIME
Hours → Minutes
Routine exceptions resolved in minutes · structured escalation for high-impact
AvailableAgent Team
Autonomous Pharmaceutical CSTR Process Intelligence Team
Target Outcome
PROCESS YIELD & THROUGHPUT
Improved
Coordinated multi-variable CSTR optimization · improved batch consistency
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
CSTR Equipment Reliability Agent
Target Outcome
UNPLANNED DOWNTIME
40%
Reduction via predictive intervention · $50K–$250K/hr impact avoided
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.
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
