AI-enabled sustainable finance advisory

Financial advice traditionally focuses on maximizing returns while balancing client-specific preferences in terms of risk and liquidity. However, the growing importance of sustainability in investment decisions has brought a new dimension to the advisory process. Advisors now face the challenge of combining their financial expertise with nuanced knowledge of sustainability.

Unlike financial markets, where advisors have deep-rooted expertise, sustainability represents a new and distinct field with minimal overlap with traditional finance, where advisors must first build their own expertise before effectively guiding their clients. As a consequence, many financial advisors currently aim to avoid the sustainability topic in conversations with their clients. To overcome these obstacles, this project is trying to develop a disruptive solution that partially automates advisory support and embeds it directly into the customer interaction process.

We introduce a product that listens to and analyzes live conversations between financial advisors and clients. It dynamically identifies relevant sustainability-related knowledge, formulates this information in natural language, ensures compliance with affected regulation and displays it in real time, powered by a conversational agent using state-of-the-art large language models (LLMs) and retrieval augmented generation (RAG) techniques.