MCIM and autoLOTO introduce digital safety management for AI/HPC facilities

MCIM teams up with autoLOTO, aiming to enhance safety, governance, and operational intelligence in AI/HPC infrastructure

MCIM, a platform for operational intelligence in mission-critical environments, has formed a partnership with autoLOTO, a provider of digital Lockout/Tagout (LOTO) solutions. The collaboration introduces a digital governance layer that links hazardous energy management with operational intelligence in live AI/HPC environments.

In AI/HPC facilities, a procedural error during hazardous energy isolation can cause operational disruptions, affect service level agreements (SLAs), and pose safety risks. Electrical injuries in such environments can result in financial impacts exceeding £1 million.

Traditional handoff gaps often mean safety execution data stops at the commissioning phase and is not integrated into operational systems. The partnership aims to addresses this by:

  • Ensuring hazardous energy controls are executed accurately and digitally verified through autoLOTO.
  • Integrating verified execution into MCIM’s operational framework.

This integration aims to provide traceability, audit documentation, workflow governance, and executive oversight across portfolios. It aims to support AI/HPC operators managing high-density infrastructure at a pace that conventional models may not accommodate.

The collaboration also helps maintain operational continuity and safety by:

  • Preserving asset data across handoff points.
  • Incorporating execution records into compliance workflows.
  • Maintaining governance without manual interventions.

MCIM’s partnership with autoLOTO complements its alliance with Salute, contributing to a broader governance framework for AI/HPC infrastructure. The combined approach aims to integrate safety during construction, operational oversight, and portfolio intelligence to meet the requirements of high-density, scalable AI/HPC facilities.


“In AI/HPC infrastructure, safety decisions made during construction have long-term operational consequences,” said Russell Lidie, Chief Revenue Officer at autoLOTO. “Integrating autoLOTO with MCIM ensures verified hazardous energy management becomes part of the operational foundation on day one.”

“AI/HPC operators are scaling faster than traditional operating models were built to support,” said Monty Blight, Executive Director of Partnerships and Growth at MCIM. “By aligning digital LOTO execution with structured operational intelligence, we’re strengthening the governance layer that high-density infrastructure requires.”


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