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Transforming Asset Health Methodologies For Global Scale
Client A multinational mining company with operations across multiple continents, seeking to accelerate the development of AI Predictive Maintenance algorithms. Challenge The client’s development methodology was extremely siloed, without buy-in from stakeholders. These limitations reduced the effectiveness of Predictive Maintenance algorithms and made it difficult to scale performance improvements globally. Objectives Our Approach Future Asset
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Predictive Maintenance Platform Selection and Deployment
Client A large mining organisation was seeking to adopt AI-enabled predictive maintenance tools. Challenge The client faced a crowded vendor landscape, with limited transparency and clarity around real-world application versus marketing hype. They needed a trusted partner to lead a structured and impartial selection process and ensure a smooth and seamless selection and implementation without
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Defining Functional Requirements for APM Software
Client A large mining organisation preparing to invest in Asset Performance Management (APM) software. The APM software will support the development of fit-for-purpose equipment strategies, and a repository for asset criticality information. Challenge The client needed to define clear, organisation-wide requirements for its APM initiative. Existing processes lacked structure and alignment, and there was a
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Accelerating Standards & procedure Development with Generative AI
Client A leading mining organisation aiming to modernise and standardise maintenance and asset management procedures across multiple sites. Challenge The client faced a significant backlog in technical documentation updates due to resource limitations and manual, time-intensive drafting processes. Delays in drafting and publishing standards development affected compliance, training and operational consistency. Objectives Our Approach Future
Future Asset Management 