GENERATIVE AI · INDUSTRIAL
Empowering smarter operations through embedded generative intelligence — from rapid use case design to context-aware copilots and autonomous agent teams.
Harness generative AI to enhance decision-making, optimize workflows, and accelerate innovation. XMPro integrates GenAI directly into the operating environment, so reasoning is grounded in live operational context and governed by the same controls that protect your processes today.
For the full agentic AI continuum and product detail, see Agentic AI →
Generative AI helps teams quickly define business requirements, identify integration points, and accelerate Digital Twin design, testing, and deployment.
A context-aware copilot for search, analysis, prescriptions, ideation, and decision support across operational data and procedures.
Generative AI powering autonomous agent teams that collaborate on goal-based work within governed rules of engagement.
The GenAI Use Case Wizard helps organizations design and deploy intelligent operation solutions that adapt and evolve with real-time data. Generative reasoning is applied to the messy, narrative-heavy parts of solution design — requirements, integration mapping, scenario walk-throughs — so teams reach a working twin or workflow faster.
The XMPro AI Assistant is an interactive, context-aware copilot for industry. It blends prescriptive recommendations, internal knowledge curation, and natural language self-service analytics into a single conversational surface.
Evidence-backed next-best actions surfaced alongside operational context, ranked by impact and confidence.
In-context assistance for operators as conditions change. Suggests, summarizes, and explains in plain language.
Domain-tuned advisors for reliability, maintenance, quality, and process roles, grounded in your operational data.
Ask questions across procedures, work orders, sensor history, and documents. Get answers grounded in source records.
Generative analysis on operational data without writing queries. Users describe what they want; the assistant builds it.
Shift handovers, daily summaries, and incident reports drafted automatically from live operational data.
XMPro’s Generative Agents, part of Multi-Agent Generative Systems (MAGS), apply generative AI to autonomously manage complex workflows and pursue operational goals with minimal human supervision. Specialized agents collaborate under clear protocols, share knowledge in real time, and stay inside a governed safety envelope.
Multi-Agent Generative Systems coordinate teams of specialised agents — reliability, process, planning, safety — that observe, reflect, plan, and act on shared operational context.
An industrial-grade framework. Bounded autonomy under deontic governance, designed for the constraints of operational technology environments.
Analytical and generative AI integrated into a single operating fabric, not bolted on as separate tools.
Live operational data feeds every recommendation, so guidance reflects current conditions, not yesterday’s snapshot.
Generative reasoning combined with deterministic logic for explainable, audit-ready decision support.
Designed for the kind of multi-step, multi-system industrial workflows that defeat single-model AI tools.
Start with a single use case; scale to enterprise-wide optimization without re-platforming.
Covers generative assistance, advisory recommendations, and agentic execution on one foundation.
Built for industrial operations — with the data connectors, governance, and safety patterns that environment demands.
Generative reasoning paired with rules, models, and expert systems already trusted in your operations.
Talk through where generative reasoning, copilots, and agent teams fit your environment — or explore the broader agentic AI continuum.
