TRM Launches AI Practice for Asset-Intensive Organizations

TRM, a provider of enterprise asset management and reliability consulting services, has launched an enterprise AI practice aimed at helping asset-intensive organizations move artificial intelligence projects from experimentation into production operations. TRM can build Industrial AI solutions within infrastructure a client has already approved, or help organizations without an established Industrial AI environment determine what they need.

The practice targets industries where business performance depends heavily on physical assets and operational processes. TRM said it will help organizations identify AI opportunities, establish the necessary data and technology foundations, and integrate AI into existing enterprise workflows rather than treating individual models or pilots as standalone projects.

TRM assists organizations in identifying high-value use cases, preparing data for intelligent applications, integrating AI with enterprise asset performance management and asset performance management platforms, and deploying applications that support predictive maintenance, intelligent work management, workflow automation, and faster decision-making.

The offering focuses on operationalizing AI, an increasingly important issue as companies look beyond general-purpose assistants toward systems connected to business data and processes. In asset-intensive environments, those deployments can involve information from maintenance, asset management, and other operational systems.

Posted by Pure AI Editors on 08/18/2026