Evolutionising the client investment advisory process with artificial intelligence (part 1)

Executive Summary

With the Swiss National Bank's rate cut to 0% and the removal of the imputed rental value, Swiss banks face diminishing interest margin income, making revenue diversification essential. This blog series explores a practical approach for banks to evolve their client investment advisory process to strengthen resilience in a low-interest-rate environment, including incorporating new AI features into services and operations. The traditional investment advisory landscape is undergoing a dynamic transformation, in response to key trends and challenges. Technological advancements, particularly in AI and advanced data analytics, are reshaping how banks interact with clients and tailor investment proposals. AI can be leveraged to transform client interactions through enhanced anomaly detection, risk profiling, real-time market sentiment analysis, and predictive portfolio optimisation. Banks can therefore improve both efficiency and decision-making. However, this requires system upgrades, strong cybersecurity, and skilled personnel.