Decision Support
The foundation that transforms alert overload into orchestrated action.
Explore Decision SupportDECISION AUGMENTATION · INDUSTRIAL
Combine human expertise with XMPro’s AI-powered decision augmentation. Context-aware recommendations and knowledge preservation that scale your best practices across operations.
Decision Augmentation is the middle stage of XMPro’s decision continuum. It builds on Decision Support and prepares the foundation for governed Decision Automation.
The foundation that transforms alert overload into orchestrated action.
Explore Decision SupportFrom knowing what is happening to knowing what to do, with AI-augmented guidance.
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Trusted, reliable, and explainable autonomous operations.
Explore Decision AutomationExperienced staff are retiring, complexity is rising, and consumer-grade AI doesn’t understand industrial context. Augmentation is what bridges the two.
AI-powered guidance that combines institutional knowledge, real-time intelligence, and proven best practices. The operator stays in control. The AI carries the cognitive load.
Specialized AI assistants designed to support operators at different stages of decision-making, from knowledge lookup to real-time query to always-on monitoring.
Instant access to procedures, manuals, and SOPs retrieved using RAG and cross-referenced with safety protocols. Step-by-step guidance like your most experienced technician would give.
Natural-language answers grounded in live data streams. Ask "what is the vibration trend?" and get context-rich answers backed by current system data and historical patterns.
A background advisor monitoring operations and surfacing recommendations before issues escalate. Identifies early warning signs, evaluates alternatives, and proactively suggests next steps.
No single model is a single point of failure. Composite AI is a framework of complementary techniques that together form an explainable, safe, operationally grounded decision loop.
Rules-based intelligence
Codifies domain knowledge, logic flows, and safety rules to enforce compliance and make decision-making transparent.
Physics-based validation
Applies engineering and physics-based models to verify that actions are feasible and will not break operational constraints.
Root-cause discovery
Determines the true root causes of anomalies or failures, not just correlations, so that fixes are meaningful and lasting.
Forward-looking intelligence
Forecasts asset failures, energy demand, or quality deviations based on historical and live data.
Insight synthesis and communication
Interprets patterns, creates summaries, explains agent behaviour, and drafts new strategies in real time.
Autonomous decision and action
Operationalizes the other techniques through agents that observe, reason, plan, and act inside rules of engagement.
Contextual suggestions based on historical patterns and current conditions. Actionable next-best actions that incorporate best practices and historical outcomes.
Capture and operationalize expertise from experienced personnel. A living knowledge base that grows over time and makes tribal knowledge accessible to everyone.
Forecast future conditions and potential issues before they impact operations. Early warnings on developing problems with enough time to implement preventive measures.
Every recommendation carries a confidence score, so operators know when additional verification is warranted before acting.
Decision Augmentation extends a Decision Support implementation with AI-guided recommendations, knowledge capture, and confidence scoring.
Make your best operators’ knowledge available to everyone across your organization.
Support new employees with AI-guided recommendations that accelerate proficiency and reduce onboarding risk.
Contextual recommendations delivered when they matter most, so critical decisions are made faster and more accurately.
Builds on your decision support implementation. No rip-and-replace, no parallel stack to maintain.
Talk through where AI-augmented guidance fits your operations, or explore the broader XMPro platform.