What Large Language Models Actually Do and Why Financial Institutions Should Care

Large language models are reshaping how financial institutions process information, manage compliance workflows, and analyse risk. This article explains how LLMs actually work, where they are genuinely useful in financial services, and where their limitations demand careful human oversight.

Artificial Intelligence

TNFD vs TCFD: Key Differences and What They Mean for Your Institution in 2026

TNFD adoption is accelerating and institutions familiar with TCFD are asking how much of their existing work carries over. This side-by-side comparison covers scope, the LEAP approach, disclosure requirements, and the practical pathway from TCFD compliance to TNFD readiness.

Regulatory Insights

FINMA Climate Disclosures: What Swiss Financial Institutions Need to Prepare

FINMA's climate disclosure expectations are becoming more demanding, and the 2026/1 circular extends requirements to nature-related risks for the first time. This guide explains what Swiss banks, insurers, and asset managers need to prepare, and how Swiss requirements interact with EU frameworks including CSRD and SFDR.

Regulatory insights

How AI Is Transforming Climate Risk Assessment for Banks and Asset Managers

Artificial intelligence is making it possible to assess climate risk at a speed and scale that traditional approaches cannot match. This article explains how machine learning, NLP, and predictive modelling are changing climate risk assessment for banks and asset managers and what it means in practice.

AI x Sustainable Finance

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