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The Question Elite Operators Ask That Most Vendors Can’t Answer

When Separate Conversations Point to the Same Gap Maria Joyce, VP of Maintenance & Engineering

Supervisory Intelligence vs Business Intelligence: Why Agentic Operations Need More Than Dashboards

Authored by Wouter Beneke, Marketing Lead at XMPro Agentic Operations for Industrial Enterprise is becoming

Agentic Supervisory Interfaces: How XMPro Enables Autonomous Industrial Operations

This article explores how control rooms are evolving from dashboards that show what’s happening, to

Why Agentic Operations Is More Than Agentic AI

When equipment fails at 2 AM, the operator who sees the alarm often knows what

The Hidden Crisis in Enterprise AI: Why Software Bills of Materials Are Your Best Defense

  Gartner predicts that through 2028, over 50% of AI initiatives will halt because organizations

When Mechanical Engineers Start Building Multi-Agent Systems

Something happened in our engineering team recently that made me rethink what expertise means in

When IT Needs and Operational Value Diverge: A Multi-Agent Reality Check

I joined an interesting call today with the IT division of a large multinational energy

XMPro Joins the AVEVA Partner Ecosystem to Help Industrial Companies Scale AI and Digital Transformation

Dallas, TX, November 03, 2025  XMPro, a leader in industrial decision intelligence and autonomous AI

Why Cognitive Architecture Matters When Economic Models Break

Why I’m Writing This I don’t often write direct responses to LinkedIn posts, but Michael

Beyond the Hype: Why Most ‘AI Agents’ Are Just Workflows in Disguise

Mark O’Neill‘s recent post on AI agents struck a nerve with me. He points to

Multi-Agent Generative Systems: A Senior Manager’s Guide to Industrial AI That Actually Works

Download XMPro’s definitive guide to Multi-Agent Generative Systems (MAGS) — a practical roadmap for industrial

The Industrial Agentic Organization: Part 3 – Technology Architecture and Implementation Roadmap

In Parts 1 and 2, we explored business model shifts, organizational changes, governance requirements, and