See It Work
See It Work
SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+ SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+

RESOURCES

Resources for building governed agentic operations.

Explore research papers, architecture briefs, practical guides, documentation, implementation assets, training, webinars and assessment tools for industrial teams evaluating or deploying XMPro.

FEATURED RESEARCH

The Cognitive Decision Loop.

A technical paper explaining XMPro’s Observe-Reflect-Plan-Act architecture — how industrial AI agents stay governed when LLM reasoning is wrapped inside scored gates, decision traces and bounded actuation.

The Cognitive Decision Loop — paper cover
RESEARCH PAPER van Schalkwyk · Green

The Cognitive Decision Loop: A Governed Architecture for Industrial AI Agents

Reasoning models improve inference; industrial operations need decision architecture. This paper explains why XMPro MAGS places LLM reasoning inside a Cognitive Decision Loop — fact-based observations, scored gates, objective and utility functions, consensus, Decision Traces and bounded actuation — so industrial agent decisions can be reviewed, audited and acted on within configured boundaries.

  • Agentic Operations
  • MAGS
  • Governance
  • Architecture

START HERE

Define your first production decision path.

Start with one operational decision where trusted context, faster coordination, governed authority, and evidence can create measurable value — or explore the platform architecture that supports it.