In this webinar, Ben Levett discusses why location-specific analysis is so important for proper deforestation due diligence and outlines how Trase Finance can help conduct TNFD LEAP-FI style assessments of commodity traders.

Analysing financial and sustainability disclosures is key to effective ESG Integration however with ever changing standards, guidance, formats and exponentially growing volumes this is proving a challenge for ESG teams with limited resources. Enter Machine Learning, Large Language Models (LLMs) and Neural Alpha’s Disclosure Assistant.

Materiality was again in the spotlight recently with launch of IFRS sustainability disclosure standards S1 & S2. Whilst the standards were generally welcomed as a significant step in creating a global baseline for corporate sustainability disclosures grounded in the best practices of accounting standards it was seen as controversial in some quarters. In a large part this was due to its approach to dealing with materiality and more specifically ‘double materiality’ — something largely avoided in the standards according to critics. Proponents highlight the mantra that “what can be measured can be managed” when suggesting that focusing on single materiality / materiality should be the priority for disclosing organisations and is thus the focus of these standards. Double materiality encompasses not just sustainability risks which impact a company’s financial performance but the degree to which that company’s products and activities impact the wider world — a philosophy more adopted in European standards such as in the work of EFRAG.