Corporates: Reporting and disclosures (ISSB)

How did XDI help?

• Increase accountability through high quality public reporting
• Avoid greenwashing by using the “gold standard” in granularity and transparency
• Report across multiple jurisdictions simultaneously
• Prepare for new regulatory reporting in Europe and Asia with analysis that meets mandatory IFRS S2 and ESRS requirements related to physical climate risks
• Reduce medium and long term reporting costs by avoiding the use of multiple voluntary standards   

As of 2024, listed and large companies will be required to begin reporting per new regulations, rules and standards adopted in Europe and Asia.

XDI quantifies the damages and losses associated with extreme weather events from today to 2100. Clear, consistent and comparable financial metrics ensure that regulators, investors, board directors, leadership / C-suite, and other stakeholders speak the same language of risk.

XDI data is granular, scalable and can be easily paired with GHG emissions reporting requirements. Our unique approach enables companies to translate physical climate risks and impacts into opportunities for building resilience at the asset, portfolio and organisational-level.

In this use case, for each mine site, XDI used a selection of physical risk screening tools that together returned an ABC hazard rating for the assets, identifying them as high, medium or low risk and providing the driving hazard for climate risk in 2030, 2050 and 2100. 

To support information sharing and to demonstrate the impact of various adaptation options with stakeholders, the client used the interactive, risk visualisation tool, XDI Globe.

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In addition to providing a drill-down view of each asset, XDI Globe was used for step-by-step adaptation testing, providing a cost-benefit analysis of various adaptation pathways that could reduce hazard risks. 

‍Results

The headline results were delivered in a summary powerpoint and PDF report ready for presentation to stakeholders.
XDI also provided a data spreadsheet (CSV) with metrics for each separated asset set that could be rapidly and easily embedded into wider company reporting in a number of jurisdictions.

• 9 individual assets were found to be high risk
• Dominant hazard: coastal inundation
• Heat failure probability was projected to increase 7-fold between 2030 and 2100
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What next?

Having identified a number of assets at high risk, the mining company wanted to perform a more granular ‘deep dive’ and adaptation analysis with more RCPs. It also wanted to look at risks arising from asset dependency on surrounding infrastructure.