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
- Review existing work practices and stakeholder engagement.
- Overcome organisational resistance to change.
- Design and adoption Agile Work Methodologies.
- Select and deploy supporting digital tools.
Our Approach
Future Asset Management led a structured transformation initiative. Key steps included:
- Stakeholder alignment workshops: We broke down silos and built cross-functional buy-in.
- Digital enablement: We introduced fit-for-purpose tools and visualisation dashboards (Jira).
- Coaching and capability uplift: We coached work rhythms and routines until the team was self-sufficient.
- Performance tracking: We implemented metrics to monitor adoption and impact.
Our focus on practical implementation and individual empowerment drove sustained behavioural change.
Results
- Achieved a 10x productivity improvement in rate of algorithm development.
- Accelerated alignment between stakeholders and developers.
- Insured embedment of ways of working with adoption of digital tools.
Future Asset Management 