A GISTM audit that does not merely point out non-compliance, but turns gaps into a prioritized, actionable narrative: named requirements, prioritized gaps, and recommendations linked to social license, monitoring, emergency preparedness, and governance.
A compliance audit delivers more value when it does not simply point out non-compliance, but transforms gaps into a prioritized and actionable narrative. Supported by GISTM.ai, Data Riders produced a structured report with named requirements, prioritized gaps, and recommendation logic tied to social license, monitoring, emergency preparedness, and governance.
An actual AI-assisted GISTM analysis report listed prioritized, high-criticality gaps, including:
Independent Tailings Review Board (Requirement 8.7)
Absence of an ITRB structured to the standards required by GISTM.
Emergency plan (Requirement 13.1)
Incomplete emergency preparedness and response plan.
Risk assessment (Requirement 3.4)
Outdated risk assessment in light of altered operating conditions.
Monitoring and triggers (7.4/7.5)
Insufficient trigger and action response system for warning signs.
FPIC for Indigenous Peoples (Requirement 1.2)
Absence of a formal free, prior, and informed consent process.
Grievance mechanisms
Recommendation for strengthening, including benefit-sharing measures and transparent communication.
Used GISTM.ai-supported analysis to generate a structured compliance report with named requirements, prioritized gaps, and recommendation logic tied to the standard's strategic pillars: social license, monitoring, emergency preparedness, and governance.
A more structured, evidence-based pathway between audit findings and corrective priorities, helping leadership understand what to address first and why.
Talk to Data Riders about AI-supported GISTM audits, turning non-compliance into a structured remediation roadmap.
