XMPRO MAGS · MULTI-AGENT GENERATIVE SYSTEMS
Your best operator on every shift
Imagine a virtual team of AI agents watching, deciding, and acting across your operations, 24/7, within safe boundaries.
Observe. Reflect. Plan. Act. Evidence at every step.
What is XMPro MAGS?
Introducing Specialist Agent Teams That Automate Recurring Operational Decisions
Agent teams that:
Move the levers that matter
Why this matters now
- Systems are more complex than ever More signals, dependencies and trade-offs than any team can hold 1
- Experience is leaving faster than it can be replaced Deep operating judgement is scarce and slow to rebuild 2
- Teams must do more with less Leaner crews, higher stakes, less room for error 3
WHY YOU NEED A TEAM OF AGENTS
One operating decision has several trade-offs.
The right decision often depends on production, quality, reliability, safety, energy, and cost at the same time.
What this means for your people
WHAT MAKES XMPRO MAGS DIFFERENT
Most AI agents are 90% language model. MAGS is 90% decision architecture.
CreatorMost AI agents
judged on quality — variation is fine
See how XMPro AI Flow does thisCreator agents
The language model writes the answer inside a workflow — useful, and what XMPro AI Flow is for, but not built for reliable decisions.
OperatorXMPro Decision Agents
judged on validation
Learn more about decision agentsXMPro decision agents
The model only handles the language. The decision comes from the architecture around it: cognitive intelligence, decision orchestration, performance optimisation, and integration & execution — under human authority.
For workflow-based creator patterns, see XMPro AI Flow. For operator-grade decision loops, continue with MAGS.
INTERACTIVE Can you trust the decision it makes?UNDER THE HOOD
Explore how XMPro MAGS works
Under every decision is a governed cognitive architecture. Here’s what runs it — explore each part in depth.
SEE IT RUNNING
See XMPro MAGS in Action
Not mockups. The real screens where a decision team is built, governed, and audited.
DEMO ON DEMAND
Request access to see XMPro MAGS in a real deployment.
A private briefing follows a MAGS decision team through one real industrial call: weighing recovery, energy, quality, and safety, acting only within agreed authority, and recording every step as a Decision Trace.
Shared privately, at XMPro’s discretion, with senior decision-makers at the world’s leading industrial and mission-critical operations.
Request access
BROWSE AI AGENT MARKETPLACE
Teams of agents that run your operation. Not chat about it.
Get started with pre-engineered templates for AI Assistants, AI Agents, and coordinated Agent Teams — ready to adapt to your plant, your data, and your operating envelope.
PROVEN IN PRODUCTION
Real Autonomous Operations. Real Results.
CUSTOMER PROOF
Trusted by Industrial Leaders
Define your first MAGS decision team.
Start with one recurring industrial decision where trusted context, specialist coordination, governed authority, and reviewable evidence can improve performance.
When an AI agent makes the call,
can you trust it?
MAGS turns a model’s answer into a governed decision — one you can control, corroborate, trace, and reproduce. Explore the four questions in any order, then try it yourself.
Worked example: in-process defect detection on a metal 3D-printed part. Three independent sensor streams inspect it as it prints; the system decides accept, hold, or reject, carried through all four questions.
Based on the Digital Twin Consortium metal-3D-printing testbed, led by Rowan University and XMPro.