Let’s face it, AI gets talked about a lot. But when it comes to real-world asset management, most teams just want tools that make their jobs easier, not more complicated. That’s exactly what IBM’s Maximo Application Suite (MAS) 9 delivers. This release isn’t about flashy tech, it’s about practical, AI-powered features that help you work smarter, faster, and with more confidence.
From predictive maintenance to intelligent assistants, MAS 9 brings AI into the heart of your operations. And the best part? It’s designed to support your people, not replace them.
Meet Maximo Assistant
One of the standout features in MAS 9 is Maximo Assistant, a built-in AI that helps users navigate the system, answer questions, and complete tasks more efficiently. Think of it as a smart guide that’s always on hand to help, whether you’re logging a work order or checking asset history.
It’s not just about convenience. Maximo Assistant reduces training time, increases user confidence, and helps teams get more done with less stress.
Smarter Decisions with Predictive Insights
MAS 9 also enhances predictive maintenance capabilities. By combining AI with data and historical trends, the system can flag potential issues before they become costly problems. That means fewer breakdowns, better planning, and more uptime.
Maintenance Cost Insights (MCI)
New in MAS 9, MCI gives you a clearer view of your maintenance spend. It uses AI to analyse your Maximo data and presents it in a dashboard that’s easy to understand and act on. You’ll see where your money’s going, which assets are costing the most, and where you can save.
It’s not just about cutting costs; it’s about making smarter investments in your asset strategy.
AI That Fits Your Workflow
MAS 9 doesn’t force you to change how you work. Instead, it enhances your existing processes. Whether you’re using Manage, Monitor, Predict, or the new Real Estate and Facilities tools, AI is woven into the experience in a way that feels natural.
And because it’s part of a unified suite, you get consistent insights across your entire asset portfolio, from buildings and equipment to renewable energy systems.
Electra’s Approach
At Electra, we believe AI should empower people, not overwhelm them. That’s why our training programmes focus on helping users understand and trust the AI tools in MAS 9. We break down the jargon, show how the features apply to real tasks, and build confidence from day one.
Whether you’re rolling out Maximo Assistant, exploring predictive maintenance, or diving into MCI dashboards, we’re here to make sure your teams get the most out of every feature.
MAS 9 brings powerful AI to asset management. Let’s make sure it works for your people and delivers the results your organisation needs.
Contact our team to see how our Maximo training and change services can support you through the transition to MAS 9: https://www.electralearning.com/ibm-maximo/
Sources and Further Reading
IBM Resources
- IBM — Maximo Assistant (AI Assistant) Overview
https://www.ibm.com/new/announcements/introducing-maximo-assistant-an-ai-resource-for-teams
- IBM — Predictive Maintenance & AI in MAS (Maximo Predict)
https://www.ibm.com/docs/en/masv-and-l/cd?topic=applications-maximo-predict
- IBM — Maintenance Cost Insights (MCI) Documentation
https://www.ibm.com/docs/en/masv-and-l/maximo-manage/cd?topic=applications-integrating-maximo-maintenance-cost-insights-apptio
Naviam Resources
- Naviam — AI Powered Predictive Maintenance (Maximo Predict)
https://www.naviam.io/products/ibm-maximo-application-suite/predict
- Naviam — MAS 9.0 Release: New Features & AI Enhancements
https://www.naviam.io/resources/blog/mas-9-0-release-new-features-and-functionalities
MACS Resources
- MACS — MAS 9.1 AI Features & Key Enhancements
https://macs.eu/whats-new-in-ibm-maximo-application-suite-9-1/
Electra Learning Resources
- Electra Learning — Maximo Bootcamp & AI Adoption Training
https://www.electralearning.com/maximo-bootcamp/
- Electra Learning — Digital Learning & Blended Training Programmes (eLearning)
https://www.electralearning.com/elearning/
