# XMPro

> The Agentic Operations Platform for industrial enterprises. XMPro turns operational data into governed, auditable decisions and bounded autonomous action across mining, oil & gas, manufacturing, power utilities, water utilities, renewables, and other asset-intensive industries.

> XMPro connects operational systems, Stream Designer, Operational Context Engine, AI Workflow Harness, MAGS (Multi-Agent Generative Systems), AppDesigner, XMPro FRS, Action Agents, human review, and Decision Trace into one governed decision architecture.

## Platform

- [Agentic Operations for Industrial Enterprises — DRAFT](https://xmpro.com/agentic-operations-for-industrial-enterprise/): DRAFT category page. Defines Agentic Operations as a distinct category for industrial enterprises: AI agents that observe context, recommend action, coordinate response, and execute inside governed authority boundaries with traceable decisions.
- [XMPro Agentic Operations Platform](https://xmpro.com/platform/): The XMPro Agentic Operations Platform turns industrial signals into trusted context, governed decisions, bounded actions, and Decision Trace. One production architecture from monitoring to governed autonomy.
- [Reference Architecture](https://xmpro.com/reference-architecture/): The XMPro Agentic Operations Platform reference architecture. Operating model, governed decision flow, integration, deployment patterns, and open standards.
- [Multi-Agent Generative Systems (MAGS)](https://xmpro.com/agentic-ai/multi-agent-generative-systems/): XMPro MAGS are coordinated agent teams with shared memory, composable objectives, and continuous awareness of industrial conditions. Collaborative AI for industrial operations.
- [Operational Context Engine (OCE)](https://xmpro.com/operational-context-engine/): XMPro OCE builds your Operational Knowledge Graph: a governed industrial context layer on W3C open standards (OWL, SHACL, SPARQL, PROV-O) that you own, deployable on-premises, sovereign, or air-gapped. Contextualization with governance, built for agentic operations.
- [Data Stream Designer](https://xmpro.com/data-stream-designer/): Data Stream Designer — Tier 1 deterministic data orchestration for the XMPro Agentic Operations Platform. Connect live operational data to decision workflows, applications, recommendations, and MAGS-powered agents.
- [App Designer](https://xmpro.com/app-designer/): App Designer — the human-facing experience layer of the XMPro Agentic Operations Platform. Build operational applications around the decisions that matter.
- [XMForge & Methodology Execution](https://xmpro.com/platform/xmforge/): XMForge is the productised methodology substrate that lets XMPro teams and SI partners deliver agentic-operations engagements repeatably across sites — templates, stage gates, evidence schemas and assessment instruments that ship with the platform.
- [XMPro FRS — Front-Running Simulations for Industrial Operations](https://xmpro.com/platform/frs/): XMPro FRS lets MAGS agents run scenarios ahead of live operations, test proposed actions against validated domain models, apply Guardian constraints, and commit only when economics, safety, and governance support the action.
- [Platform Components](https://xmpro.com/platform-components/): The runtime components behind XMPro applications, agents, and governed execution: Data Stream Designer, AI Workflow Harness, App Designer, Recommendation Manager, Workflow, and Subscription Manager.

## How XMPro Works

- [Detect → Decide → Coordinate → Execute](https://xmpro.com/platform/detect-decide-coordinate-execute/): Close the loop from operational signal to governed action. XMPro helps industrial teams detect what is happening, decide what should happen next, coordinate response, and execute within approved control boundaries.
- [Phase 1 — Monitor & Predict](https://xmpro.com/platform/monitor-predict/): Know what is happening and what is likely to happen next. Monitor & Predict helps teams connect operational data, detect abnormal behavior, identify risk, and understand likely outcomes before issues become failures, losses, or incidents.
- [Phase 2 — Advise & Coordinate](https://xmpro.com/platform/advise-coordinate/): Guide the right response across people, systems, and agents. Advise & Coordinate helps teams turn insight into action by using recommendations, workflows, applications, and MAGS-powered agents to guide decisions and coordinate response.
- [Phase 3 — Operate Autonomously](https://xmpro.com/platform/operate-autonomously/): Move selected processes into governed autonomous operation. XMPro helps industrial teams allow selected actions to execute within approved policy and control boundaries — when the operating model, confidence, governance and evidence requirements are ready.
- [APEX AI: Agent Platform Experience](https://xmpro.com/agentic-ai/agentic-platform-experience/): XMPro APEX is the mission-critical orchestration layer that manages industrial AI agents with precision, scalability, and enterprise-grade governance.
- [Governance, Security & Auditability](https://xmpro.com/governance/): Governed AI for industrial operations. XMPro supports controlled, explainable, and reviewable agentic decisions across human and agent workflows.

## Architecture & Deployment

- [Architecture & Deployment](https://xmpro.com/architecture/): XMPro architecture for brownfield industrial operations. Cloud, edge, hybrid, and customer-controlled deployment patterns. Integration, governance, resilience, and decision accountability built in.
- [Flexible Deployment](https://xmpro.com/flexible-deployment/): XMPro deployment patterns for industrial operating environments. Cloud, edge, hybrid, and customer-controlled — chosen against connectivity, latency, sovereignty, and governance requirements.
- [Integration & Connectors](https://xmpro.com/integration-connectors/): Connect the systems your operations already run. XMPro connects OT, IT, enterprise, document, event, and application sources into an agent-ready operating layer.

## Solutions Areas

- [Asset Performance](https://xmpro.com/solutions/asset-performance/): Close the gap between asset insight and maintenance execution. XMPro helps maintenance, reliability, and operations teams turn asset signals into prioritized interventions, coordinated work, and continuous reliability improvement before equipment issues become production loss.
- [Process Optimization](https://xmpro.com/solutions/process-optimization/): Improve process performance with governed operational intelligence. XMPro helps teams monitor process behavior, detect constraints and drift, recommend operating responses, and coordinate action across people, systems, and sites.
- [Quality & Compliance](https://xmpro.com/solutions/quality-compliance/): Detect quality risk earlier and keep decisions traceable. XMPro helps teams connect process signals, product context, compliance requirements, corrective actions, approvals, and evidence so quality and compliance decisions can be coordinated and reviewed.
- [Supply Chain & Logistics](https://xmpro.com/solutions/supply-chain-logistics/): Connect operational risk to supply chain response. XMPro helps teams understand how supplier, parts, inventory, logistics, and contract constraints affect operational decisions, asset availability, and production risk.
- [Safety & Operational Risk](https://xmpro.com/solutions/safety-operational-risk/): Coordinate response when operational risk increases. XMPro helps teams connect alarms, asset state, procedures, permits, controls, roles, approvals, and evidence so safety and operational risk decisions can be guided, governed, and reviewed.
- [Sustainability & Energy](https://xmpro.com/solutions/sustainability-energy/): Improve energy and sustainability decisions in operational context. XMPro helps teams monitor energy performance, understand operational drivers, identify improvement opportunities, and coordinate decisions that balance cost, production, reliability, and sustainability goals.

## Resources

- [Maturity Assessment](https://xmpro.com/maturity-assessment/): Assess your readiness for agentic operations. A 10-dimension framework + 4-stage maturity model that turns 'where do we start?' into a prioritised action plan.
- [Pricing](https://xmpro.com/pricing/): XMPro flexible subscription pricing tailored to your operational scope, asset types, and integration needs. Composable platform for mission-critical industrial operations.
- [Latest News](https://xmpro.com/news/): Press releases and company news from XMPro — covering product launches, partnerships, analyst recognition and milestones across the agentic operations stack.

## Company

- [About](https://xmpro.com/about/): XMPro is the Agentic Operations Platform for industrial enterprises — built for industrial intelligence at speed and scale, from monitoring to governed autonomy.
- [Customers — XMPro | Trusted for Industrial Operations](https://xmpro.com/customers/): See how industrial organisations use XMPro to improve operational visibility, coordination, reliability, risk response, and agentic operations maturity.
- [Careers — XMPro | Build the Future of Industrial Agentic Operations](https://xmpro.com/careers/): Join XMPro to help industrial enterprises turn operational context into governed action across assets, processes, applications, workflows, and AI agents.
- [Partners](https://xmpro.com/partners/): XMPro partners with elite system integrators, technology leaders, and industry alliances to deliver agentic operations at scale.
- [Industry Recognition](https://xmpro.com/industry-recognition/)
- [Industry Participation](https://xmpro.com/industry-participation/): XMPro's active membership in the consortia and standards bodies shaping digital transformation — Digital Twin Consortium, OPC Foundation, IDTA, MxD, OSDU and more.
- [Contact](https://xmpro.com/contact-us/): Get in touch with XMPro. Talk to an engineer, request support, or find your local office across North America, Australia, the UK and South Africa.

## AI Agent Marketplace

- [Browse all agents](https://xmpro.com/ai-agent-marketplace/)
- [Pump Predictive Maintenance Advisor](https://xmpro.com/ai-agent-marketplace/pump-predictive-maintenance-advisor/): Detects pump degradation 7 to 30 days before failure and ranks the fleet by business-criticality-weighted risk.
- [Blower Predictive Maintenance Advisor](https://xmpro.com/ai-agent-marketplace/blower-predictive-maintenance-advisor/): Tracks blower efficiency loss and predicts failures 14 to 60 days ahead, turning hidden energy waste into scheduled maintenance.
- [Storm Event Preparation Advisor](https://xmpro.com/ai-agent-marketplace/storm-event-preparation-advisor/): Issues a Storm Preparation Brief 24 to 72 hours before events, with recommended pre-storm actions sequenced by trigger time.
- [Permit Exceedance Predictive Advisor](https://xmpro.com/ai-agent-marketplace/permit-exceedance-predictive-advisor/): Projects permit-parameter trajectory 2 to 8 hours ahead and recommends the intervention window before an exceedance becomes unavoidable.
- [Asset Lifecycle & Capital Planning Advisor](https://xmpro.com/ai-agent-marketplace/asset-lifecycle-capital-planning-advisor/): Turns capital planning from age-based to condition-based, typically improving capex efficiency by 15 to 25%.
- [Root-Cause Analysis AI Assistant](https://xmpro.com/ai-agent-marketplace/root-cause-analysis-ai-assistant/): Conversational investigation across historian, CMMS, LIMS, SOPs, and incident history — cuts typical root-cause analysis from days to minutes.
- [Aeration Energy Optimisation Team](https://xmpro.com/ai-agent-marketplace/aeration-energy-optimisation-team/): A four-agent team that continuously optimises aeration energy within the operator-approved safety envelope, cutting 10 to 20% of aeration energy at typical activated sludge plants.
- [Storm Flow Management Team](https://xmpro.com/ai-agent-marketplace/storm-flow-management-team/): A four-agent team that coordinates gate sequencing, pump activation, and storage utilisation during storm events, typically reducing annual CSO volume by 20 to 40%.
- [Chemical Dosing Optimisation Team](https://xmpro.com/ai-agent-marketplace/chemical-dosing-optimisation-team/): A four-agent team that optimises coagulant and polymer dosing in real time, typically reducing chemical consumption by 10 to 15%.
- [Wet Weather Process Control Team](https://xmpro.com/ai-agent-marketplace/wet-weather-process-control-team/): A five-agent team that manages biological and physical treatment during wet-weather events, protecting permit compliance and cutting post-event recovery from days to under 48 hours.
- [Agentic Anomaly Detection & Root Cause Analysis Agent](https://xmpro.com/ai-agent-marketplace/anomaly-detection-root-cause-analysis-agent/): Continuously monitors process data to detect multi-variable anomalies using advanced algorithms, then performs intelligent causal diagnosis and delivers evidence-based root cause analysis with actionable recommendations.
- [Agentic Compliance and Safety Officer Agent (Standards Guardian)](https://xmpro.com/ai-agent-marketplace/compliance-and-safety-officer-agent-standards-guardian/): Continuously monitors operational behaviour against safety standards and regulatory requirements, flags emerging risks in real time, and exercises governed intervention authority — including veto power — to prevent unsafe conditions before they escalate.
- [Agentic Energy Management Agent (Efficiency Expert)](https://xmpro.com/ai-agent-marketplace/energy-management-agent-efficiency-expert/): Continuously monitors energy consumption patterns, detects equipment issues through energy signatures before traditional symptoms appear, and optimises load scheduling against production demands, utility rates, and sustainability targets.
- [Agentic Equipment Monitoring Agent (Health Monitor)](https://xmpro.com/ai-agent-marketplace/equipment-monitoring-agent-health-monitor/): Provides continuous, intelligent equipment health assessment across entire asset fleets by fusing multi-parameter sensor data with Composite AI to deliver prioritised, contextualised health alerts that operators can trust — eliminating alarm floods and enabling genuinely predictive maintenance.
- [Agentic Equipment Performance Agent (Availability Specialist)](https://xmpro.com/ai-agent-marketplace/equipment-performance-agent-availability-specialist/): Continuously monitors equipment behaviour across multi-sensor data streams, detects subtle degradation patterns using physics-based models and machine learning, and provides explainable maintenance recommendations that enable teams to move from reactive repairs to proactive reliability management.
- [Agentic Knowledge Synthesis & Decision Support Agent](https://xmpro.com/ai-agent-marketplace/knowledge-synthesis-decision-support-agent/): Continuously synthesises outputs from all specialised XMPro agents into cross-functional, explainable intelligence — helping operations leaders understand trade-offs, clarify priorities, and align decisions with OEE and strategic performance goals.
- [Agentic Maintenance Coordinator Agent (Predictive Maintenance Reliability Strategist)](https://xmpro.com/ai-agent-marketplace/maintenance-coordinator-agent-predictive-maintenance-reliability-strategist/): Continuously monitors equipment health, predicts maintenance needs, and orchestrates resource allocation and scheduling across production systems — shifting teams from reactive fixes and rigid schedules to predictive, coordinated maintenance management.
- [Agentic Maintenance Schedule Planning Agent (Schedule Optimizer)](https://xmpro.com/ai-agent-marketplace/maintenance-schedule-planning-agent-schedule-optimizer/): Continuously optimises maintenance schedules by balancing task urgency, resource availability, skill matching, and production constraints — dynamically adapting plans in real time as conditions change to maximise equipment availability while minimising downtime and labour costs.
- [Agentic Predictive Analytics Specialist Agent](https://xmpro.com/ai-agent-marketplace/predictive-analytics-specialist-agent/): Continuously analyses equipment data patterns to calculate failure probabilities and remaining useful life estimates — providing transparent, risk-based maintenance recommendations that enable teams to prevent failures before they occur rather than responding after the fact.
- [Agentic Production Rate Agent (Performance Optimizer)](https://xmpro.com/ai-agent-marketplace/production-rate-agent-performance-optimizer/): Continuously monitors production flow, identifies shifting bottlenecks, and provides explainable throughput optimisation recommendations that increase capacity utilisation — without overdriving equipment or compromising product quality.
- [Agentic Quality Control Agent (Quality Guardian)](https://xmpro.com/ai-agent-marketplace/quality-control-agent-quality-guardian/): Continuously monitors quality metrics and process parameters across production lines to predict defects before they occur, identify root causes in real time, and deliver actionable improvement recommendations — moving quality management from reactive inspection to predictive assurance.
- [Agentic Root Cause Analysis Agent (Failure Investigator)](https://xmpro.com/ai-agent-marketplace/root-cause-analysis-agent-failure-investigator/): Autonomously investigates equipment failures using fault tree analysis, causal inference, and pattern recognition across multiple data types — delivering consistent, evidence-backed root cause findings and corrective action recommendations that prevent recurrence rather than just restoring uptime.
- [Agentic Simulation & Scenario Analysis Agent](https://xmpro.com/ai-agent-marketplace/simulation-scenario-analysis-agent/): Continuously runs process simulations and what-if analyses to evaluate proposed changes, optimisation strategies, and operational scenarios — providing predictive insights that enable other agents and human decision-makers to validate strategies before implementation and quantify risks and benefits of proposed actions.
- [Reporting and KPI Tracking Agent (Performance Analyst)](https://xmpro.com/ai-agent-marketplace/agentic-reporting-and-kpi-tracking-agent-performance-analyst/): Transforms maintenance and operational data into strategic performance intelligence, monitoring multi-dimensional KPIs 24/7 and delivering predictive insights that drive proactive decision-making. Goes beyond static dashboards to understand relationships between performance indicators and provide contextualized recommendations that balance reliability, efficiency, and cost.
- [Equipment Manual Content Agent](https://xmpro.com/ai-agent-marketplace/equipment-manual-content-agent/): Transforms static equipment manuals into conversational, context-aware knowledge accessible through natural language interfaces, enabling technicians and engineers to get precise answers about procedures, specifications, and safety protocols without hunting through hundreds of pages.
- [Executive Briefing Agent](https://xmpro.com/ai-agent-marketplace/executive-briefing-agent/): Transforms complex operational data streams and multi-agent insights into concise, decision-ready executive briefings that enable proactive strategic leadership instead of reactive management.
- [Root Cause Report Generator Agent](https://xmpro.com/ai-agent-marketplace/root-cause-report-generator-agent/): Automatically transforms investigation outcomes, sensor data, and expert inputs into structured, compliance-ready Root Cause Analysis reports, eliminating documentation delays and ensuring organizational and regulatory standards are met every time.
- [Shift Handover Briefing Agent](https://xmpro.com/ai-agent-marketplace/shift-handover-briefing-agent/): Transforms scattered operational data into structured, comprehensive shift handover briefings that ensure complete knowledge transfer between teams, replacing informal conversations and tribal knowledge with consistent, supervisor-validated documentation.
- [Standard Operating Procedure (SOP) Creator Agent](https://xmpro.com/ai-agent-marketplace/standard-operating-procedure-sop-creator-agent/): Transforms operational knowledge, process data, and regulatory requirements into compliant, comprehensive Standard Operating Procedures in minutes — automating 85% of SOP creation work while keeping subject matter experts in control of final approval.
- [Digital Work Instruction Assistant](https://xmpro.com/ai-agent-marketplace/digital-work-instruction-assistant/): Transforms static procedures into dynamic, context-aware work instructions that adapt in real time to current equipment status, environmental conditions, and operator skill levels — eliminating the gap between documented processes and actual field requirements.
- [CSTR Equipment Reliability Agent](https://xmpro.com/ai-agent-marketplace/cstr-equipment-reliability-agent/): An AI-powered predictive maintenance specialist that continuously monitors CSTR mechanical systems through motor power analysis, vibration patterns, and thermal signatures to predict failures before they impact pharmaceutical production. It understands how agitator performance, heat exchanger efficiency, and mechanical seal integrity interact to deliver proactive equipment health management.
- [CSTR Process Optimization Agent](https://xmpro.com/ai-agent-marketplace/cstr-process-optimization-agent-data-intelligence-specialist/): An AI-powered productivity maximiser that continuously pushes CSTR reactor performance to extract maximum space-time yield, optimise energy efficiency, and minimise cycle times while staying within validated pharmaceutical safety limits. It eliminates the conservative manual setpoints that leave 20–30% throughput potential untapped.
- [CSTR Quality Control Agent](https://xmpro.com/ai-agent-marketplace/cstr-quality-control-agent/): A 24/7 AI quality guardian that continuously monitors CSTR batch consistency, detects quality deviations 2–4 hours before they appear in final testing, and prevents specification failures through proactive intervention with complete FDA-compliant audit trails. It holds veto authority over process changes that could compromise pharmaceutical batch integrity.
- [CSTR Regulatory Compliance Agent](https://xmpro.com/ai-agent-marketplace/cstr-regulatory-compliance-agent/): An AI-powered regulatory guardian that continuously monitors data integrity, validates parameter compliance, maintains comprehensive audit trails, and ensures 24/7 FDA inspection readiness for pharmaceutical CSTR operations. It transforms reactive compliance management into proactive regulatory intelligence that supports both continuous manufacturing and process analytical technology initiatives.
- [CSTR Resource Planning & Scheduling Agent](https://xmpro.com/ai-agent-marketplace/cstr-resource-planning-scheduling-agent/): An AI-powered production planning specialist that continuously optimises CSTR batch sequences, coordinates multi-resource allocation, and maximises facility utilisation while maintaining cGMP compliance. It replaces static scheduling systems with real-time intelligence that adapts to equipment conditions, material availability, and changing production priorities.
- [Pharmaceutical Cold Chain Crisis Detection & Escalation Agent](https://xmpro.com/ai-agent-marketplace/pharmaceutical-cold-chain-crisis-detection-escalation-agent/): The Crisis Detection & Escalation Agent is the incident-response specialist of the pharmaceutical cold chain MAGS team, surfacing time-critical risks and initiating governed escalation paths across quality, logistics, compliance, and supply functions. By contributing urgency weighting and crisis-protocol reasoning into the team's consensus mechanism, it replaces multi-hour manual firefighting with rapid, coordinated, and fully traceable crisis response.
- [Pharmaceutical Cold Chain Logistics Optimization Agent](https://xmpro.com/ai-agent-marketplace/pharmaceutical-cold-chain-logistics-optimization-agent/): The Logistics Optimization Agent serves as the efficiency and routing specialist of the pharmaceutical cold chain MAGS team, continuously optimising transport routes, cold storage utilisation, and distribution flows using real-time telemetry and predictive simulations. During disruptions it dynamically reroutes shipments, reallocates loads, and recommends alternative carriers to preserve product integrity and minimise delay.
- [Pharmaceutical Cold Chain Quality Assurance Agent](https://xmpro.com/ai-agent-marketplace/pharmaceutical-cold-chain-quality-assurance-agent/): The Quality Assurance Agent acts as the integrity guardian of the pharmaceutical cold chain, continuously validating product stability against defined quality thresholds, flagging deviations in real time, and ensuring corrective actions are traceable and compliant with GDP and cGMP requirements. It transforms quality assurance from a reactive compliance checkpoint into a proactive intelligence function that protects patient safety and reduces unnecessary product loss.
- [Pharmaceutical Cold Chain Regulatory Compliance Agent](https://xmpro.com/ai-agent-marketplace/pharmaceutical-cold-chain-regulatory-compliance-agent/): The Regulatory Compliance Agent acts as the policy and documentation guardian of the pharmaceutical cold chain, continuously validating every shipment, storage event, and handling action against GDP, cGMP, FDA, EMA, and WHO requirements to maintain a complete and auditable compliance trail. By embedding regulatory intelligence directly into operational workflows, it ensures compliance is never sidelined during crises — accelerating rather than impeding response.
- [Pharmaceutical Cold Chain Supply Continuity Agent](https://xmpro.com/ai-agent-marketplace/pharmaceutical-cold-chain-supply-continuity-agent/): The Supply Continuity Agent acts as the end-to-end chain-of-custody specialist of the pharmaceutical cold chain MAGS team, continuously monitoring supplier reliability, inventory positions, and transport lane status to ensure uninterrupted flow of critical medicines. During disruptions it evaluates alternatives — rerouting shipments, activating backup storage, or reallocating inventory — and recommends optimal actions within minutes to safeguard patient access.
- [Supply Chain Demand Planner Agent](https://xmpro.com/ai-agent-marketplace/supply-chain-demand-planner-agent/): Delivers SKU-level, location-specific, and time-phased demand forecasts that adapt in real time to promotions, product lifecycles, perishability, and shifting market conditions. Transforms demand planning from a reactive exercise into a proactive intelligence function.
- [Supply Chain Financial Performance Agent](https://xmpro.com/ai-agent-marketplace/supply-chain-financial-performance-agent/): Embeds real-time financial intelligence directly into supply chain operations by continuously monitoring gross margin, working capital, cash flow, and cost variance — ensuring every sourcing, logistics, and demand decision contributes to sustainable profitability.
- [Supply Chain Logistics Fulfillment Agent](https://xmpro.com/ai-agent-marketplace/supply-chain-logistics-fulfillment-agent/): Optimizes transportation and last-mile fulfillment by continuously monitoring shipments, carrier capacity, and delivery performance to maximize on-time delivery while minimizing cost per unit shipped and resolving exceptions before they cascade into service failures.
- [Supply Chain Network Optimization Agent](https://xmpro.com/ai-agent-marketplace/supply-chain-network-optimization-agent/): Continuously optimizes procurement strategies, supplier performance, and inventory positioning by analyzing supplier reliability, lead times, costs, and risk exposure — ensuring materials and products are sourced and stocked in the right locations at the lowest feasible cost.
- [Supply Chain Strategic Market Signals Agent](https://xmpro.com/ai-agent-marketplace/supply-chain-strategic-market-signals-agent/): Continuously scans and interprets external signals — competitor pricing, regulatory updates, geopolitical events, and market trends — then translates them into actionable supply chain intelligence that demand, supply, logistics, and financial agents can act on before disruptions occur.
- [Agentic Downstream Oil & Gas Rotating Equipment Optimization Team](https://xmpro.com/ai-agent-marketplace/agentic-downstream-oil-gas-rotating-equipment-optimization-team/): Six coordinated agents balance reliability, throughput, energy, safety, maintenance, and supply across downstream rotating equipment — delivering governed optimization in minutes, not days.
- [Agentic Automation Team for Liner Analysis and Scheduling For Crushers in The Mining Industry](https://xmpro.com/ai-agent-marketplace/automation-team-for-liner-analysis-and-scheduling-for-crushers/): Three coordinated agents autonomously manage liner wear, maintenance scheduling, and crusher performance — keeping humans on the loop while eliminating routine coordination overhead.
- [Autonomous Agentic AI Team for Advanced Predictive Maintenance](https://xmpro.com/ai-agent-marketplace/autonomous-agentic-ai-team-for-advanced-predictive-maintenance/): Six specialized agents predict failures, optimize schedules, enforce compliance, and continuously learn — transforming reactive maintenance into governed autonomous reliability management.
- [Autonomous Agentic AI Team For OEE Optimization In Manufacturing](https://xmpro.com/ai-agent-marketplace/autonomous-agentic-ai-team-for-oee-optimization-in-manufacturing/): Five to eight coordinated agents continuously monitor, predict, and optimize equipment availability, performance, quality, and energy — delivering compound OEE improvements invisible to siloed monitoring systems.
- [Autonomous Agentic AI Teams for Substation Operations](https://xmpro.com/ai-agent-marketplace/autonomous-agentic-ai-teams-for-substation-operations/): Three coordinated agents continuously monitor transformer health, optimize load distribution, and manage environmental conditions across substations — delivering 24/7 expert-level oversight without human fatigue.
- [Autonomous Supply Chain Optimization Team](https://xmpro.com/ai-agent-marketplace/autonomous-supply-chain-optimization-team/): Five coordinated agents continuously sense demand, optimize supply and inventory, manage logistics, and enforce financial guardrails — turning siloed supply chain functions into a self-coordinating system.
- [Pharmaceutical Cold Chain Crisis Response Team](https://xmpro.com/ai-agent-marketplace/pharmaceutical-cold-chain-crisis-response-team/): Five specialized agents continuously monitor product integrity, coordinate logistics, enforce GDP compliance, and escalate cold chain crises — responding in minutes where manual processes take hours.
- [Autonomous Pharmaceutical CSTR Process Intelligence Team](https://xmpro.com/ai-agent-marketplace/pharmaceutical-cstr-process-intelligence-team/): Five coordinated agents control CSTR process variables, monitor equipment health, enforce quality consistency, validate regulatory compliance, and optimize production scheduling — all within pharmaceutical manufacturing standards.
- [Oil Sample Classifier](https://xmpro.com/ai-agent-marketplace/oil-sample-classifier/): Classifies oil sample results against known failure modes — structured output, confidence, and a recommended review path on the Data Stream Designer canvas.

## Solutions Library

- [Browse all solutions](https://xmpro.com/solutions-library/)
- [Conveyor Belt Monitoring & Optimisation](https://xmpro.com/solutions-library/conveyor-belt-system-monitoring-and-optimization-in-automotive-manufacturing/): Real-time monitoring, predicted failure modes and energy-efficient operation across every conveyor on the line.
- [Aging Pipe Predictive Maintenance](https://xmpro.com/solutions-library/aging-pipe-predictive-maintenance-in-water-utilities/): Rank the network by failure risk and consequence — turn aging-pipe replacement into a defensible capital plan.
- [Mainline Conveyor Condition Monitoring](https://xmpro.com/solutions-library/condition-monitoring-predictive-maintenance-solution-for-mainline-conveyors-in-the-mining-industry/): Section-by-section monitoring of mainline conveyors with predicted failure modes ranked by service criticality.
- [Alarm Management & Triage](https://xmpro.com/solutions-library/alarm-management-and-triage/): Rank level 3 and 4 alarms by leading-indicator value so reliability engineers see signal, not noise.
- [Air Quality Monitoring for Agriculture](https://xmpro.com/solutions-library/air-quality-monitoring-for-agriculture/): Continuous air-quality telemetry tied to predictive analytics and automated compliance reporting across the farm.
- [Surface Processing Plant Condition Monitoring](https://xmpro.com/solutions-library/asset-condition-monitoring-for-surface-processing-plants-in-the-mining-industry/): Plant-wide condition monitoring with predicted failure, synchronised maintenance and a digital twin tying it together.
- [Bogie Health Monitoring](https://xmpro.com/solutions-library/bogie-health-monitoring-in-the-rail-industry/): Live wheel-wear, axle-load and bearing-temperature signals tied to predicted bogie failure modes across the fleet.
- [Boiler Feed Water Pump Monitoring](https://xmpro.com/solutions-library/boiler-feed-water-pumps/): Vibration, flow, pressure, energy and water-quality fused into one boiler-feed-pump condition picture.
- [Casting Guidance](https://xmpro.com/solutions-library/casting-guidance/): Live casting telemetry, a digital twin and predictive quality guidance — process drift caught before it becomes scrap.
- [CHPP Throughput Loss Monitoring](https://xmpro.com/solutions-library/chpp-throughput-loss-monitoring/): Decompose CHPP throughput loss into specific equipment, process and feed-quality causes — with ranked recovery actions.
- [Compressor Condition Monitoring](https://xmpro.com/solutions-library/condition-monitoring-for-compressors-in-the-manufacturing-industry/): Zone-based compressor monitoring with predicted failure modes routed directly into work-request creation.
- [Hydraulic System Condition Monitoring](https://xmpro.com/solutions-library/condition-monitoring-for-hydraulics-in-the-manufacturing-industry/): Zone-based hydraulic system monitoring with predicted failure modes routed directly into work-request creation.
- [Condition Monitoring](https://xmpro.com/solutions-library/condition-monitoring/): Bad actors first, hybrid engineering + ML models, asset-class templates — condition monitoring run as a programme.
- [Cooling Tower Fin Fan Monitoring](https://xmpro.com/solutions-library/cooling-tower-fin-fan-monitoring/): Per-fan cooling-tower monitoring tied to predictive maintenance, energy efficiency and environmental compliance.
- [Cyclone & Slurry Pump Condition Monitoring](https://xmpro.com/solutions-library/cyclone-slurry-pump-condition-monitoring/): Real-time condition monitoring for cyclones and slurry pumps across processing plants and utility networks.
- [Demand Planning & Stockholding Reduction](https://xmpro.com/solutions-library/demand-planning-to-reduce-stockholding-in-stores/): Demand-forecasting and inventory optimisation across the store estate — less dead stock, fewer revenue-losing stockouts.
- [Derailment Prevention via Track Geometry](https://xmpro.com/solutions-library/derailment-prevention-through-track-geometry-measurement/): Real-time track-geometry monitoring with predicted deviations ranked by derailment risk.
- [EV Battery Assembly Optimisation](https://xmpro.com/solutions-library/ev-battery-assembly-process-optimization-for-the-car-manufacturing-industry/): Real-time monitoring, predictive quality scoring and parameter optimisation across every step of EV battery assembly.
- [Excavator Efficiency Optimisation](https://xmpro.com/solutions-library/excavator-efficiency-optimization-in-iron-ore-mining/): Idle, cycle, fuel and operator performance under one operational picture — with shift-actionable recommendations.
- [Flood Prediction & Response](https://xmpro.com/solutions-library/flood-prediction-response-in-water-utilities/): Predictive flood modelling fused with live asset telemetry — coordinated response across the water-utility estate.
- [Golden Batch: Culture Addition](https://xmpro.com/solutions-library/golden-batch-for-culture-addition-in-the-dairy-processing-industry/): Real-time monitoring, AI quality prediction and ranked operator recommendations across culture addition in dairy processing.
- [Golden Batch: Milk Reception](https://xmpro.com/solutions-library/golden-batch-for-milk-reception-in-dairy-processing-industry/): AI-scored quality gate at milk reception with blending recommendations and full per-batch traceability.
- [Golden Batch Monitoring](https://xmpro.com/solutions-library/golden-batch-monitoring/): Live comparison of every batch against the golden-batch profile, with feed-rate and parameter recommendations.
- [Improve First Pass Yield](https://xmpro.com/solutions-library/improve-first-pass-yield-fpy/): Predictive quality and ranked process-parameter recommendations across every stage of the production line.
- [Induced Draft Fan Monitoring](https://xmpro.com/solutions-library/induced-draft-id-fan-monitoring/): Continuous vibration, energy and airflow monitoring for ID fans with component-level predictive maintenance.
- [Multi-Location Windfarm Management](https://xmpro.com/solutions-library/intelligent-multi-location-windfarm-management/): Multi-site turbine performance and maintenance under one operational picture with per-asset digital twins.
- [Loading & Hauling Optimisation](https://xmpro.com/solutions-library/loading-hauling-process-optimization-in-iron-ore-mining/): Real-time productivity, cycle-time analysis and predicted condition across every excavator and haul truck.
- [Energy Consumption Reduction](https://xmpro.com/solutions-library/monitor-and-reduce-energy-consumption/): Continuous drive and motor monitoring with predictive efficiency interventions — energy as a managed line item.
- [Cash-to-Cash Cycle Reduction](https://xmpro.com/solutions-library/monitor-process-health-to-reduce-cash-to-cash-cycle/): End-to-end cash-to-cash visibility across procurement, production, inventory and receivables.
- [Storm-Water Reservoir Monitoring](https://xmpro.com/solutions-library/monitor-storm-water-reservoirs-for-flood-prevention/): Reservoir level, weather forecast and water-quality fused into one operating signal with dynamic crew dispatch.
- [Multi-Site Iron-Ore Optimisation](https://xmpro.com/solutions-library/national-multi-site-optimization-overview-for-iron-ore-mines/): National operating picture across every mine site, with process-stage drill-down and predictive intervention.
- [Oil Well Maintenance Planning](https://xmpro.com/solutions-library/oil-well-maintenance-planning/): Plan well interventions on actual condition with synchronised crew, rig and parts allocation.
- [Oil Well RTP Monitoring](https://xmpro.com/solutions-library/oil-well-rtp-monitoring/): Real-time well, equipment and parameter monitoring during return-to-production with predicted maintenance.
- [Smart City Performance Management](https://xmpro.com/solutions-library/performance-management-for-smart-cities/): A single operating picture across health, safety, mobility, infrastructure and environment, with AI co-pilot and sentiment context.
- [Performance Management](https://xmpro.com/solutions-library/performance-management/): Real-time KPIs, embedded AI and prescriptive recommendations — performance management as a continuous capability.
- [Roller Cooling Pipe Scaling Prediction](https://xmpro.com/solutions-library/pipe-scaling-prediction-for-roller-cooling/): Predict scale build-up in cooling pipes from flow, pressure and chemistry data — clean before efficiency collapses.
- [Precision Irrigation](https://xmpro.com/solutions-library/precision-irrigation-in-agriculture/): Soil-moisture-driven irrigation schedules that protect yield while cutting water waste field by field.
- [Heat Exchanger Fouling Prediction](https://xmpro.com/solutions-library/predict-heat-exchanger-fouling/): Forecast heat exchanger fouling from live U-coefficient trends — clean during planned outages, not unplanned ones.
- [Aircraft Component Predictive Maintenance](https://xmpro.com/solutions-library/predictive-maintenance-asset-health-monitoring-for-aircraft-components/): Stream-based component health monitoring with AOG-risk prediction and audit-ready airworthiness traceability.
- [Haul Truck Predictive Maintenance](https://xmpro.com/solutions-library/predictive-maintenance-asset-health-monitoring-for-haul-trucks-in-the-mining-industry/): Engine, drivetrain, hydraulic and tyre telemetry fused into ranked predictions per truck — synchronised with the maintenance plan.
- [Mining Mobile Asset Predictive Maintenance](https://xmpro.com/solutions-library/predictive-maintenance-for-mobile-assets-within-the-mining-industry/): Mixed-fleet mobile asset prediction — engine, hydraulic and OEM telemetry fused into one condition view per asset class.
- [Pasteurisation Predictive Maintenance](https://xmpro.com/solutions-library/predictive-maintenance-for-pasteurization-assets-within-the-dairy-industry/): Predict heat-exchanger fouling, pump wear and pasteurisation drift before quality or compliance slips.
- [Robotic Arm Predictive Maintenance](https://xmpro.com/solutions-library/predictive-maintenance-for-robotic-arms-in-the-automotive-industry/): Per-arm prediction across mechanical wear and electrical faults — current, vibration, temperature and acoustic telemetry fused into ranked actions.
- [Wind Turbine Predictive Maintenance](https://xmpro.com/solutions-library/predictive-maintenance-for-wind-turbines/): Predict turbine failures before they ground the farm — gearboxes, bearings and blades, ranked by remaining useful life.
- [Predictive Maintenance](https://xmpro.com/solutions-library/predictive-maintenance/): Three-step PdM: prioritise bad actors, predict with hybrid models, scale through reusable asset-class templates.
- [Beer Process Optimisation](https://xmpro.com/solutions-library/process-optimization-in-the-beer-processing-industy/): Real-time brewing telemetry with predictive control — tune fermentation against the batch in progress, not last quarter’s report.
- [Dairy Process Optimisation](https://xmpro.com/solutions-library/process-optimization-in-the-dairy-industry/): Real-time process control and predictive analytics across pasteurisation, curd processing and aging — cheddar that ages to spec.
- [Process Optimisation](https://xmpro.com/solutions-library/process-optimization/): Real-time data, AI-driven recommendations and operator-facing dashboards — process improvement that lives in the stream.
- [Pump Health Monitoring](https://xmpro.com/solutions-library/pump-health-monitoring-in-water-utilities/): Real-time pump telemetry with predicted failure modes, efficiency baselines and condition-based maintenance across the network.
- [Pumping Station OEE](https://xmpro.com/solutions-library/pumping-station-oee/): OEE-style measurement across pumping stations — availability, performance, quality and predictive maintenance under one picture.
- [Real-Time Balanced Business Scorecard](https://xmpro.com/solutions-library/real-time-balanced-business-scorecard-bbs/): Real-time financial, customer, process and learning indicators — strategic alignment that moves at operational cadence.
- [Grid Risk Mitigation & Intelligent Maintenance](https://xmpro.com/solutions-library/real-time-grid-risk-mitigation-and-intelligent-maintenance-for-power-utilities/): Unified grid telemetry, Composite AI and role-based dashboards — risk detection, prediction and mitigation across the full operational stack.
- [Open-Pit Iron Ore Process Optimisation](https://xmpro.com/solutions-library/real-time-process-optimization-for-open-pit-iron-ore-mines/): Integrated optimisation across drilling, hauling, crushing and milling — production losses caught in the seams between stages.
- [Real-Time Safety Monitoring](https://xmpro.com/solutions-library/real-time-safety-monitoring/): Environmental, equipment and worker telemetry unified — real-time hazard detection, routed response and automated compliance reporting.
- [Remote Operations Centre](https://xmpro.com/solutions-library/remote-operations-center/): Integrated data, embedded AI and configurable visualisation — a remote operations centre that coordinates response, not spreadsheets.
- [Short-Term Inventory Planning](https://xmpro.com/solutions-library/short-term-inventory-planning/): Live inventory, demand forecasting and ranked replenishment actions across the short-term planning horizon.
- [Mining Strategic Performance & Safety Oversight](https://xmpro.com/solutions-library/strategic-performance-safety-oversight-for-global-mining-operations/): Multi-site mining oversight tying production, safety and environmental KPIs into a single executive view.
- [Unified Substation Operations](https://xmpro.com/solutions-library/unified-substation-operations-platform-real-time-digital-twin-for-comprehensive-visibility/): Real-time digital twin of every substation — predicted failure, ranked recommendations and role-specific dashboards.
- [Rail Wheel & Track Wear Monitoring](https://xmpro.com/solutions-library/wheel-and-track-wear-monitoring-in-the-rail-industry/): Live wheel and track wear monitoring with predicted RUL, ranked recommendations and per-asset 2D/3D drill-down.
- [Wind Turbine Performance Optimisation](https://xmpro.com/solutions-library/wind-turbine-performance-optimization/): Continuous wind, turbine and gearbox monitoring with predicted failure modes and condition-tuned operating recommendations.

## Industries

- [All industries](https://xmpro.com/industry/)
- [Mining](https://xmpro.com/industry/mining/)
- [Oil & Gas](https://xmpro.com/industry/oil-gas/)
- [Manufacturing](https://xmpro.com/industry/manufacturing/)
- [Defense](https://xmpro.com/industry/defense/)
- [Aerospace](https://xmpro.com/industry/aerospace/)
- [Power Utilities](https://xmpro.com/industry/power-utilities/)
- [Process Industry](https://xmpro.com/industry/process-industry/)
- [Iron & Steel](https://xmpro.com/industry/iron-steel/)
- [Renewables](https://xmpro.com/industry/renewables/)
- [Transport & Logistics](https://xmpro.com/industry/transport-logistics/)
- [Water Utilities](https://xmpro.com/industry/water-utilities/)
- [Agriculture](https://xmpro.com/industry/agriculture/)

## Recent Blog Posts

- [Blog index](https://xmpro.com/blog/)
- [XMPro Named as a Sample Vendor for Agentic AI category in the Gartner® Hype Cycle™ for AI in Manufacturing, 2026](https://xmpro.com/xmpro-named-sample-vendor-agentic-ai-gartner-hype-cycle-ai-in-manufacturing/): XMPro's Agentic Operations Platform runs governed agentic AI on the manufacturing shop floor: product development, production, quality, and maintenance under bounded autonomy. Named as a Sample Vendor for Agentic AI in the Gartner Hype Cycle for AI in Manufacturing, 2026, published 9 July 2026.
- [XMPro mentioned in the 2026 Gartner® Agentic Arbitrage: Decoupled Workflows Unlock ERP's $40 Billion Agentic Core Report](https://xmpro.com/xmpro-mentioned-gartner-agentic-arbitrage-erp-research/): XMPro Multi-Agent Generative Systems (MAGS) run yield-preservation agents in mining: real-time equipment health, failure prediction, and dynamic maintenance orchestration under bounded autonomy. Mentioned as a Case in Point in Gartner report titled Agentic Arbitrage: Decoupled Workflows Unlock ERP's $40 Billion Agentic Core, published 2 July 2026.
- [XMPro Named as a Sample Vendor in Two Categories of the Gartner® Hype Cycle™ for Agentic Automation, 2026](https://xmpro.com/xmpro-named-sample-vendor-two-categories-gartner-hype-cycle-agentic-automation/): XMPro's Agentic Operations Platform pairs APEX for Agent Orchestration with MAGS for Agentic AI on one governed platform for industrial operations. Named as a Sample Vendor in two categories of the Gartner Hype Cycle for Agentic Automation, 2026, published 7 July 2026.
- [XMPro Named as a Sample Vendor for Digital Twins for Products category in the Gartner® Hype Cycle™ for Discrete Manufacturing Technologies, 2026](https://xmpro.com/xmpro-named-sample-vendor-digital-twins-for-products-gartner-hype-cycle-discrete-manufacturing-technologies/): XMPro's Agentic Operations Platform runs governed digital twins for industrial products across design, manufacturing, and in-service operations. Named as a Sample Vendor for Digital Twins for Products in the Gartner Hype Cycle for Discrete Manufacturing Technologies, 2026, published 6 July 2026.
- [XMPro Named as a Sample Vendor for Agentic AI in CG category in the Gartner® Hype Cycle™ for Consumer Goods, 2026](https://xmpro.com/xmpro-named-sample-vendor-agentic-ai-gartner-hype-cycle-consumer-goods/): XMPro's Agentic Operations Platform brings governed agentic AI to consumer goods manufacturing: batch, packaging, and supply-chain operations. Named as a Sample Vendor for Agentic AI in CG in the Gartner Hype Cycle for Consumer Goods, 2026, published 29 June 2026.
- [XMPro Named as a Sample Vendor for Agentic AI category in the Gartner® Hype Cycle™ for Strategic Cost Management, 2026](https://xmpro.com/xmpro-named-sample-vendor-agentic-ai-gartner-hype-cycle-strategic-cost-management/): XMPro's Agentic Operations Platform shapes industrial cost at the decision: earlier action, bounded autonomy, per-decision economics. Named as a Sample Vendor for Agentic AI in the Gartner Hype Cycle for Strategic Cost Management, 2026, published 25 June 2026.
- [XMPro Named as a Sample Vendor for Agent Orchestration category in the Gartner® Hype Cycle™ for IT Operations, 2026](https://xmpro.com/xmpro-named-sample-vendor-agent-orchestration-gartner-hype-cycle-it-operations/): XMPro APEX is the unified control plane for industrial agentic operations. Named as a Sample Vendor for Agent Orchestration in the Gartner Hype Cycle for IT Operations, 2026, published 24 June 2026.
- [An Ontology Is Not a Graph Database](https://xmpro.com/an-ontology-is-not-a-graph-database/): Why industrial context needs a system of fit-for-purpose data stores, standardized and governed, before an agent can act on it safely.
- [Who Owns Your Context Layer?](https://xmpro.com/who-owns-your-context-layer/): France's intelligence agency dropped a platform it could not itself turn off. Any operator building an industrial context layer faces the same exposure, and the consolidation into OEM stacks makes it urgent. The procurement question has changed from which platform has the best features to: whatever happens to this vendor, what do I still own?
- [XMPro Named as a Sample Vendor for Multiagent Systems category in the Gartner® Hype Cycle™ for AI in Oil and Gas, 2026](https://xmpro.com/xmpro-named-sample-vendor-multiagent-systems-gartner-hype-cycle-ai-oil-and-gas/): XMPro Multi-Agent Generative Systems (MAGS) is the centrally-planned, physics-grounded operating layer for upstream, midstream, and downstream operations. Named as a Sample Vendor for Multiagent Systems in the Gartner Hype Cycle for AI in Oil and Gas, 2026, published 24 June 2026.
- [How Do Agents Make Decisions Under Uncertainty?](https://xmpro.com/how-do-agents-make-decisions-under-uncertainty/): An XMPro technical white paper. The decision happens outside the model, in a decision layer — how an operator agent decides under uncertainty on a Sequential Decision Analytics foundation, and why the decision still reproduces exactly.
- [Agentic Operations in Action: Depropaniser Optimization Example](https://xmpro.com/agentic-operations-depropaniser/): An approved-access walkthrough of XMPro agentic operations in an industrial setting.
- [XMPro Named as a Sample Vendor for Agentic AI category in the Gartner® Hype Cycle™ for Cloud Computing, 2026](https://xmpro.com/xmpro-named-as-a-sample-vendor-for-agentic-ai-in-the-2026-gartner-hype-cycle-for-cloud-computing/): XMPro, the agentic operations platform for asset-intensive and mission-critical industries, today announced it has been named as a Sample Vendor for Agentic AI in the Gartner Hype Cycle for Cloud Computing, 2026, published 12 June 2026.
- [When an AI Agent Makes the Call, Can You Trust It? The 4 Questions We Get Asked Most](https://xmpro.com/when-an-ai-agent-makes-the-call-can-you-trust-it-the-4-questions-we-get-asked-most/): When an AI agent makes an operational decision, can you trust it? It's the question we get asked most — and most "agentic AI" can't answer it. This is a worked example of XMPro MAGS (Multi-Agent Generative Systems), applied to a 3D-printing defect test-bed and built around the four questions that…
- [XMPro Named as a Sample Vendor in Two Categories of the Gartner® Hype Cycle™ for AI in ITSM, 2026](https://xmpro.com/xmpro-named-as-a-sample-vendor-in-two-categories-of-the-2026-gartner-hype-cycle-for-ai-in-itsm/): XMPro, the agentic operations platform for asset-intensive and mission-critical industries, today announced it has been named as a Sample Vendor in two categories of the 2026 Gartner Hype Cycle for AI in ITSM, published 2 June 2026: Agent Orchestration and Agentic AI.
- [288 Years of Research Behind MAGS](https://xmpro.com/288-years-of-research-behind-mags/): The oldest idea in the MAGS codebase was published in 1738. A tour of the 288-year research lineage built into MAGS — every architectural layer traced to the published work it implements, cited at the line of code.
- [XMPro Named as a Sample Vendor for Agentic AI in the Gartner® Hype Cycle™ for AI in Application Integration and Architecture, 2026](https://xmpro.com/xmpro-named-as-a-sample-vendor-for-agentic-ai-in-the-2026-gartner-hype-cycle-for-ai-application-integration-and-architecture/): XMPro, the agentic operations platform for asset-intensive and mission-critical industries, today announced it has been named as a Sample Vendor for Agentic AI in the Gartner Hype Cycle for AI in Application Integration and Architecture, 2026, published 3 June 2026.
- [XMPro Named as a Sample Vendor for Expert AI Agents category in the 2026 Gartner® Emerging Tech Impact Radar: Disruptive Technologies on the Far Horizon](https://xmpro.com/xmpro-named-as-a-sample-vendor-for-expert-ai-agents-category-in-the-2026-gartner-emerging-tech-impact-radar-far-horizon/): XMPro, the Agentic Operations platform for asset-intensive and mission-critical industries, today announced it has been named as a Sample Vendor for Expert AI Agents in the 2026 Gartner Emerging Tech Impact Radar: Disruptive Technologies on the Far Horizon, published 2 June 2026.
- [The Industrial AI Agent Manifesto](https://xmpro.com/the-industrial-ai-agent-manifesto/): The Digital Twin Consortium has published the Industrial AI Agent Manifesto — a governance framework for deploying AI agents in safety-critical industrial environments. Ten engineering laws for trustworthy autonomous operations.
- [XMPro Named as a Sample Vendor for Agentic AI in the 2026 Gartner® Hype Cycle™ for Cybersecurity Leadership](https://xmpro.com/xmpro-named-as-a-sample-vendor-for-agentic-ai-in-the-2026-gartner-hype-cycle-for-cybersecurity-leadership/): XMPro, the agentic operations platform for asset-intensive and mission-critical industries, today announced it has been named as a Sample Vendor for Agentic AI in the 2026 Gartner Hype Cycle for Cybersecurity Leadership, published 15 May 2026.