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
- Accelerate the creation of maintenance and asset management standards
- Ensure documentation aligns to regulatory and operational requirements
- Reduce reliance on internal subject matter experts (SMEs)
- Establish a repeatable framework for future standards development
Our Approach
Future Asset Management deployed a generative AI-driven solution to streamline documentation of standards. Key steps included:
- Ingestion: All existing draft documentation was ingested using AI document e=intelligence reader
- AI Generation: We designed an RAG enabled AI agent to develop ‘draft’ documents containing a combination of client and industry best practice.
- SME collaboration: We reviewed and refined drafts with SMEs to ensure technical accuracy and relevance.
- Compliance alignment: We ensured documentation was mapped to industry regulations and internal standards.
This hybrid approach combined speed with precision — significantly cutting down delivery timelines without compromising quality or content integrity.
Results
- Delivered technical documentation in weeks instead of months and cleared backlog
- Boosted collaboration and clarity across departments
- Standardised documentation practices across multiple operations
- Established a scalable model for ongoing AI-assisted standards development
Future Asset Management 