GISTM
Intelligent GISTM Compliance Audit
Meet GISTM.ai, DataRiders' innovative platform that uses Artificial Intelligence to ensure compliance with the Global Industry Standard for Tailings Management (GISTM). Developed by experts in data mining and science, GISTM.ai automates requirements verification, generating real-time reports and insights for managers and auditors.
Problem Description
GISTM compliance requires analysis of large volumes of documents, monitoring data, and evidence spread across multiple systems. The demand for frequent and accurate audits increased after GISTM deadlines in 2023 and 2025. Many companies face shortages of tailings experts and time-consuming manual processes to compile information.
Solution offered by GISTM
The GISTM.ai was created to overcome these challenges. He acts as a tireless "digital auditor," continuously evaluating his data collection and tailings management documents.
Automatic Requirements Mapping
The system uses NLP (Natural Language Processing) to read reports, inspections, action plans, and map each piece of evidence to the 77 corresponding GISTM requirements, indicating where there is compliance and where evidence is lacking.
Real-Time Compliance Dashboard
Managers instantly see the status of each tailings facility: percentage of adherence to each GISTM principle, outstanding requirements, designated responsible parties, and deadlines.
Intelligent Alerts and Recommendations
The GISTM.ai issues proactive alerts when it identifies deviations (e.g., a critical overdue monitoring or an outdated document) and can suggest corrective actions based on best practices.
Audit-Ready Reports
Automatically generates complete compliance reports, with narrative and evidence references, ready for submission to independent auditors or stakeholders. These reports can be customized (by installation, by GISTM principle, etc.), saving weeks of manual work.
Continuous Learning
The platform learns from interactions – for example, if a human auditor adds a comment or adjusts the assessment of a requirement, the system incorporates that feedback. Over time, the model becomes even more accurate in recognizing compliance or non-compliance in future documents.
Security and Confidentiality
The GISTM.ai is offered in a secure environment, respecting confidentiality requirements of the technical data of the dams. It can be implemented in a private cloud or on-premises, according to the customer's needs, ensuring adherence to IT policies.
Benefits
Time Savings
Drastic reduction in the effort to prepare for GISTM audits, freeing up staff to work on improvements rather than compiling documents.
Reliability
Uniformity in the evaluation of requirements, reducing subjectivity and human error, and ensuring that no item goes unnoticed.
Continuous readiness
Instead of preparing only on the eve of audits, the company maintains an up-to-date view of compliance throughout the year, facilitating preventive action.
Benchmarking
(If applicable) By aggregating data from multiple operations (or even from different companies anonymously), the system can provide industry benchmarks, helping the client to position its performance against the industry.
Use Case
A large mining company with 12 tailings dams adopted the GISTM.ai. In less than 2 months, the platform cataloged thousands of historical documents, automatically identifying that 10% of the requirements did not have sufficient evidence. Management was then able to focus on these critical points and within 6 months, it had raised its GISTM compliance to 95%. In a subsequent independent audit, the company passed without critical nonconformities, receiving praise for the organization of the evidence – much of it attributed to the use of the GISTM.ai.