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. Delays in developing and publishing standards affected compliance, training and operational consistency.
Objectives
- Accelerate the creation of maintenance and asset management standards
- Ensure documentation aligns to regulatory and operational requirements
- Reduce the load on internal subject matter experts (SMEs)
- Establish a repeatable framework for future standards development
Our Approach
Future Asset Management deployed a generative AI solution to streamline the development of standards. Key steps included:
- Ingestion: All existing standards and draft documentation were read using AI document intelligence.
- AI drafting: An AI assistant drafted documents from the client’s own material combined with industry practice, with every clause traceable to its source.
- SME collaboration: We reviewed and refined drafts with SMEs to ensure technical accuracy and relevance.
- Compliance alignment: We mapped documentation to industry regulations and internal standards.
This hybrid approach combined speed with precision, cutting delivery timelines significantly without compromising quality.
Results
- Technical documentation delivered in weeks instead of months, and the backlog cleared
- Improved collaboration and clarity across departments
- Documentation practices standardised across multiple operations
- A scalable model for ongoing AI-assisted standards development
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