​​Unlocking the future of mining ​

This app is built to analyse maintenance schedules to
assess and streamline maintenance. Maintenance Strategy Optimisation involves extensive data analysis, error-checking and manual data entry. 

GenAI can be leveraged to automatically analyse content,
such Work Orders (WO) descriptions, and provide the following insights at scale to accurately determine failure rates: 

• Identification of maintained component, 
• Determine the WO outcome
  (pass/fail), and compare it against the original data, 
• Flag any discrepancies for human review.

Benefits 

• Time taken to analyse WO content drastically reduced from 160 hours to less than 8 hours for 5,000 work orders. 
• Accelerate maintenance
  strategy optimisation process to save up to 10% in maintenance costs annually. 
• Reduced materials cost. 
  

This use case can be tailored to specific executive needs, such as financial reporting, operational insights, or strategic decision support. 

• Using Multi-Agent workflow, DIGBY can. 
  • Retrieve key insights from large unstructured reports instantly. 
  • Access data contained within structured databases enabling business users to retrieve specific data. 
  • Summarise complex data into concise and actionable text / visual formats, including graphs. 
    

Benefits 

• Rapid Summarisation:
  Summarises information captured in various documents and data stores to reduce time taken and dependency on certain SMEs to find answers. 
• Improved Efficiency:
  Reduces time spent searching for relevant data across multiple reports and systems. 
• Accuracy: Data is
  retrieved from sources with a high level of accuracy and relevance. 
• Ease of Use: Minimises
  dependency on data engineers, allowing executives to self-serve insights. 

Preparing incident investigation reports manually is time-intensive, requiring extensive searches through disparate sources like policies, OEM documents, incident databases, manual investigation notes, and HSE systems. Workers expend considerable effort compiling information from these varied sources and filling in multiple pages across several documents, detracting from their primary focus on pro-actively maintaining a safe
workplace. This app leverages Gen-AI to automatically collate and populate reports with necessary information sourced from linked databases and

document repositories. It simplifies the document generation process by integrating existing templates, ensuring that all relevant data is included seamlessly and accurately.  

Benefits 

• Saves time: Lets frontline staff focus on fixing problems, not filling forms. Reduce administrative work
  leads to more time in the field.  
• Compliance: Regulatory reports are completed and submitted on time, enabling swift actions and avoiding fines
  or penalties. 
• Reduces Errors: AI fills information consistently, with less chance of omitting key facts. 

Conducting a thorough 5-Whys analysis can be challenging,
especially in complex environments like mining. Many investigations fall short,
either by stopping at superficial conclusions or failing to fully identify root causes. This can lead to incomplete understanding and ineffective remedial actions. The 5-Whys Assistant ensures a thorough exploration, guiding users to uncover true underlying issues and propose effective solutions.

This app supports the end-to-end HSE incident investigation process. Reduce manual work in data capture, notification, analysis, documentation, and internal/regulatory reporting. 

Benefits 

• Provides a structured process to complete a 5-whys investigation
• Expands the causal
  pathway options by suggesting a wider range of possible causes
• Improves quality and
  compliance by forcing the process to continue beyond superficial analysis
• Provides suggested
  remedial actions based on the provided causal pathway