A Field Guide to AI for Maintenance: From Firefighting to Future-Proofing, One Decision at a Time

Take an in-depth look at AI-powered asset management and learn actionable solutions to common challenges.
Oct. 29, 2025

The growing fascination with AI in industrial organizations has maintenance teams feeling pressure to “do something” with it, even when the path forward is unclear. Evidence shows that maintenance reliability AI solutions enable unprecedented gains in operational efficiency and uptime, but the best results are achieved by building a strong data foundation and earning the trust of the people expected to use it. Understanding these and other nuances of AI-powered asset management is essential to exceeding program expectations.

This white paper, including findings from the 2025 State of Industrial Maintenance report, presents:

  • Research on the rapid rise of interest in AI and adoption of AI-powered asset management
  • Six common challenges to managing industrial AI maintenance programs and how to overcome them.
  • Three vital business opportunities for AI and associated digital transformation in maintenance.
  • How MaintainX industrial solutions, for example, help to achieve quick wins with EAM/CMMS software and predictive maintenance AI tools, enabling lasting executive support for larger and more impactful initiatives.

Read A Field Guide to AI for Maintenance: From Firefighting to Future-Proofing, One Decision at a Time so you can hit the ground running with an AI program designed to optimize reliability, maximize operational excellence, and realize impactful bottom-line results.