From Enterprise Asset Management to Asset Investment Planning | Roy Lorenzen | Cosol | MaximoLive

In this session, Roy Lorentzen from Certus Digital takes audiences through a practical, real-world journey from traditional Enterprise Asset Management (EAM) to modern Asset Performance and Asset Investment Planning (AIP). Roy explores how organisations can move beyond reactive maintenance and short-term decision-making by leveraging data, analytics and AI across the IBM Maximo Application Suite. Drawing on insights from industry research and hands-on project experience, he highlights the challenges many asset-intensive organisations face today — from data overload and poor visibility to knowledge loss and fragmented planning. The presentation covers: -Key findings from industry research on asset management maturity -Why asset health should be the starting point for digital transformation -Using Maximo Manage, Monitor, Health, Predict and Asset Investment Planning together -Turning IoT and condition data into actionable insights -Bridging strategy, asset investment planning and day-to-day operations -Empowering technicians with an “asset view” rather than a task-only view -A real-world case study using tunnel jet fans, including health modelling, anomaly detection and predictive insights -Lessons learned when extending these approaches to linear assets such as roads and tunnels Roy also shares practical advice on where to start, how long it really takes to stand up asset health and prediction models, and how organisations can take incremental steps towards data-driven, long-term asset decisions. This session is ideal for asset owners, operators, reliability engineers, planners and executives looking to improve asset reliability, optimise maintenance spend, reduce risk and extend asset life. This session examines the evolution from traditional enterprise asset management (EAM) to a fully integrated Asset Investment Planning (AIP) framework. Roy (Certus Digital | Egis Group) will demonstrate how organisations can leverage IBM Maximo Application Suite capabilities — including Manage, Monitor, Health, Predict and AIP — to deliver data-driven investment decisions. Learn how to integrate condition, risk, and performance data to optimise lifecycle planning, reduce unplanned downtime, and align CAPEX/OPEX priorities. The session will also outline a maturity journey framework and real-world use cases that illustrate predictive and optimisation capabilities in action. https://www.certussolutions.com/digital Speaker: Mr Roy Lorenzen Industry Solutions Director Certus Digital Roy Lorenzen is a technology leader with over 20 years’ experience helping organisations harness emerging technologies to deliver better business outcomes. As Solutions Director at Certus Digital, he focuses on enhancing enterprise asset management through innovative applications of IoT, mobility, predictive analytics, and data governance. Roy has deep expertise and a passion for integrating new and emerging tools into complex systems to develop solution that drive value. His holistic approach helps asset-intensive businesses improve visibility, performance, and decision-making in fast-changing environments. Event: Maximo Live 2025 #IBMMaximo #reliabilityengineering #assetmanagement Chapters: 00:00 - Introduction & session overview 01:10 - Meet Roy Lorentzen – Certus Digital 02:30 - From traditional EAM to asset investment planning 04:20 - Industry insights: asset management maturity & key statistics 07:40 - Data overload, knowledge loss & short-term decision making 11:30 - Bridging strategy, planning and daily operations 14:10 - Certus Digital & the Aegis Group overview 16:20 - Building a strong asset management foundation in Maximo 19:00 - Asset health, monitoring and predictive analytics 23:10 - Visualisation, IoT and field enablement 27:30 - Empowering technicians with an asset-centric view 30:00 - AI as part of decision-making 31:20 - From field data to strategy and long-term planning 34:40 - Asset health as the starting point for transformation 38:10 - Proof of concept approach and early insights 41:30 - Real-world case study: tunnel jet fans 45:50 - Health modelling and anomaly detection 49:30 - Predictive maintenance and failure forecasting 53:20 - Asset investment planning insights 57:10 - Scaling the approach to other asset classes 59:40 - Challenges with linear assets 1:03:10 - Lessons learned and roadmap considerations 1:07:00 - Benefits for operators, asset owners and executives 1:10:40 - Data-driven decisions, risk and compliance 1:13:30 - Practical advice: where to start 1:17:20 - Audience Q&A 1:26:30 - Final thoughts and wrap-up