As the financial services industry continues to evolve, efficiency has become a top priority. In order to maximize efficiency, stay competitive, and unlock new value streams, financial institutions (FIs) are leveraging the power of artificial intelligence (AI) throughout their business processes.

As we continue to witness the exponential rise of Artificial Intelligence (AI) in the financial services industry, it's crucial to understand the inner workings of the models driving these intelligent systems.

In the rapidly evolving lending landscape, caused in part by the bank failures of 2023, credit portfolios are facing significant stress and heightened challenges, including rising default rates, fluctuating interest rates, and economic uncertainty. Coupled with strict regulatory demands for risk differentiation and portfolio diversification, these pressures are exposing the limitations of current credit portfolio monitoring processes, which are often static, reactive and subjective. The Australian CRE market has seen an 8.5% decline in capital growth with the office sector being a major contributor to this decline due to its cumulative loss of 22%­­. As a result, financial institution (FI) leaders are rethinking their credit portfolio management practices.

Artificial Intelligence (AI), particularly Generative AI (Gen AI), has transformed industries in significant ways, and financial services is no exception.Today, financial institutions (FIs) grapple with a myriad of challenges. These include time-consuming loan processing, disparate data sources, resource-intensive loan origination processes, and the overwhelming task of interpreting large sets of data.At the same time, AI is unlocking new value streams for FIs, especially in the areas of efficiency and productivity, deal pricing and profitability optimization, credit risk management, compliance, and customer experience.

While banks are partnering with innovative and forward-thinking tech vendors to improve their business and services, not all of these partnerships are successful. Even with impressive products and glowing reviews, some tech vendors aren’t suitable matches for the banks they partner with.

In the dynamic world of finance, managing risks effectively is not just a necessity—it's a hallmark of successful financial institutions.

How do you choose when to buy a solution and when to build your own in house?

In an era where speed and efficiency are key, the banking sector has continually sought innovative solutions to streamline operations and enhance customer service. One revolutionary milestone in this journey is the integration of Artificial Intelligence (AI) and machine learning (ML) in credit decisioning. This shift has redefined the landscape of banking, transforming how institutions are able to assess creditworthiness and manage risk.

It is possible to implement technology in your bank while maintaining the human touch. Commercial bankers know their business is different to retail.