AGENTIC AI · INDUSTRIAL OPERATIONS
Intelligent decision agents for complex industrial operations.
Collaborative agentic AI teams that observe, reflect, plan, and act — enabling reliable, safe, and scalable autonomous operations across mission-critical environments.
Modern equipment is more complex, experienced operators are retiring faster than they can be replaced, alert volumes outpace human attention, and teams are asked to deliver more with less. Agentic AI is how operations keep pace without compromising safety or judgement.
Purpose-built for industrial environments. Composite reasoning grounded in physics and rules, decisions governed by operational policy, and action coordinated by agent teams rather than dashboards.
XMPro's AI agents are purpose-built for industrial environments. Three complementary roles — content, assistant, and decision — combine advanced generative AI with deep domain expertise to solve operational problems together.
User request, generate, publish
Content Generators & Curators
Knowledge specialists that gather, analyse, and produce information to support decision-making and knowledge management. They excel at reports, documentation, and compliance artefacts.
Example roles
Conversational queries
Industrial Expert Support
Virtual industrial advisors that provide expert guidance through conversation. They combine domain knowledge with AI to deliver immediate answers and walk operators through complex procedures.
Example roles
Observe, reflect, plan, act
Industrial Decision Intelligence
The strategic core. Continuously analyse data, evaluate options, and make informed decisions against operational goals and constraints. They observe, remember, plan, and act inside defined boundaries.
Example roles
Industrial agents have different requirements than chat assistants. Reliability, grounding, governance, and skills are non-negotiable.
Built for 24/7 mission-critical operations with real-time capabilities at the edge and in the cloud.
Sophisticated memory cycles — observe, reflect, plan, act — enabling continuous learning, contextual recall, and improvement over time.
Physics-based reasoning and first-principles validation that understands your actual equipment, processes, and operating envelope.
Built-in deontic principles and rules of engagement ensure responsible, safe, and aligned AI operation across every decision and action.
Purpose-built agent profiles for specific industrial roles — maintenance specialists, process optimisers, quality monitors, and more.
Bring your own models, your own tools, and your own data sources. Agents compose with the OT and IT stack you already operate.
Individual agents become powerful when they collaborate in multi-agent generative systems — and only useful in production when there is a control room around them.
Talk through where decision, assistant, and content agents fit your environment, or explore the broader agentic operations model.
