Generative AI with watsonx
MAS 9.x introduces generative AI features built on IBM watsonx, including an AI assistant that lets users ask questions about assets and work in natural language. Availability depends on MAS version and licensing.
AI in Maximo
AI in Maximo Application Suite, from watsonx assistance to predictive maintenance
IBM Maximo Application Suite includes AI capabilities built on IBM watsonx, alongside established analytics for asset health and prediction. ASUITE helps organizations understand what is available in their MAS version, what it requires, and where it adds practical value.
Discuss your requirements →AI capabilities in the suite
AI-assisted work order data
AI can recommend values such as problem and failure codes on work orders, improving the quality of maintenance history. Better failure data is the basis for reliability analysis.
Maximo Health
Health calculates condition scores for assets from maintenance history, meters, and sensor data, helping teams prioritize repair and replacement decisions across a fleet or portfolio.
Maximo Predict
Predict applies machine learning models to estimate failure probability and remaining useful life, supporting a move from time-based to predictive maintenance for critical assets.
Maximo Monitor
Monitor collects operational data from equipment and applies anomaly detection, so that unusual behavior raises an alert, and where configured a work order, before a failure occurs.
Maximo Visual Inspection
Visual Inspection trains computer vision models to identify defects in images and video, for uses such as surface damage, missing components, and safety compliance checks.
Questions and answers
AI in Maximo: common questions
Does Maximo use AI?
Yes. Maximo Application Suite includes AI in several applications: generative AI assistance built on IBM watsonx, condition scoring in Health, failure prediction in Predict, anomaly detection in Monitor, and computer vision in Visual Inspection.
Do we need MAS to use Maximo AI features?
Yes. These capabilities are delivered in Maximo Application Suite, and the generative AI features in MAS 9.x. Organizations on Maximo 7.6 need to upgrade to MAS to use them.
What do we need before adopting AI in Maximo?
Reliable data matters most: a consistent asset hierarchy, accurate work order history, and well-used failure codes. For Predict and Monitor, sensor or meter data for the target assets is also needed.
Related services
Exploring AI for maintenance?
Share your MAS version and the assets you want to focus on. We will advise which AI capabilities are realistic today.
Contact ASUITE →