How To Guides

Learn how to seamlessly integrate your legacy systems with iMaintain to capture institutional knowledge and enable AI-driven maintenance without disrupting operations.

Implement actionable steps to clean, validate, and govern your maintenance data so AI-driven insights lead to fewer breakdowns and improved asset uptime.

Discover how iMaintain’s context-aware AI helps reliability technicians reduce risk, prevent failures, and maximize equipment uptime by capturing and sharing critical maintenance knowledge.

Discover a step-by-step autonomous maintenance guide to boost equipment uptime, extend asset lifespan, and unlock data-driven maintenance activity insights.

Discover how to deploy IBM Maximo on Azure and integrate iMaintain to enhance maintenance data quality, streamline workflows, and unlock actionable insights.

Learn how iMaintain’s AI-powered knowledge capture layer enables maintenance managers to move from reactive fixes to proactive maintenance, extending asset life and cutting downtime.

Learn step-by-step how to leverage AI-driven maintenance knowledge capture to implement a proactive strategy that prevents breakdowns and optimizes asset performance.

Learn how maintenance leaders can equip their teams with AI-driven tools and knowledge capture strategies to solve faults faster and drive reliability in 2025.

Discover how iMaintain enhances Power BI by integrating predictive maintenance analytics, turning CMMS data into actionable insights for faster fault diagnosis.

Implement these eight actionable strategies to transfer maintenance knowledge effectively, improve data quality, and standardise processes across your team.