Leveraging Agentic artificial intelligence capabilities to automate cognitive decision-making tasks across financial service chains

Financial services are increasingly exposed to disruption and transformation by major trends in building and utilizing machine learning and artificial intelligence systems. While AI-based automation tools are now pervasive for certain use cases in financial services such as credit risks scoring, sentiment analysis, fraud detection, and account opening, there are major challenges in fully realizing AI systems potential and leveraging AI to support human actors engage with the financial services industry either at the firm level or at the individual customer level. An important aspect of the challenge involves the nature of key financial services and use cases where human cognitive decision-making is an essential part of the underlying process such as lending, credit risk assessment and management, investment planning and management, poverty alleviation, etc. The importance of supporting human actors in financial services also stems from the widespread, and in fact intensified, calls for inclusion and equity in access to finance as well as technology-driven accountability in the financial sector.