Financial institutions have spent years investing in AI capabilities, governance frameworks, and organizational expertise. The question is no longer whether AI works, it is how to identify the right use cases, prove value through successful pilots, and rapidly move AI into production at enterprise scale. 

Join HFS Research and Infosys for an interactive executive roundtable with senior banking and financial services leaders to explore what separates organizations successfully scaling AI from those that remain trapped in perpetual pilots. Together, we’ll discuss the organizational, cultural, governance, and commercial decisions required to move AI from innovation teams into the fabric of the enterprise, driving efficiency while creating measurable business value. 

Many banks have already demonstrated successful proofs of concept, but scaling AI across functions introduces a new set of challenges. Risk and compliance, data quality, technology integration, workforce readiness, operating model redesign, and value measurement all become critical to turning experimentation into sustained business impact. 

Banks are not struggling to scale AI because the technology is falling short. They are struggling because enterprise debt is. Process, data, technology, and talent debt have become the foundations AI is expected to run on, and those foundations are failing rapid AI scale-up and delaying measurable returns on investment. For the banking and capital markets industry, addressing enterprise debt represents a US$1.4 trillion value opportunity. (Source: HFS Research, 2026.)

Modernizing middle- and back-office operations continues to be the optimum path for proving the value of AI investments because baseline data already exists and outcomes can be measured relatively quickly. As a result, modernizing legacy systems and improving operational efficiency remain the biggest drivers of AI investment and use cases. However, new opportunities are emerging rapidly. Payments is fast becoming the industry’s proving ground for enterprise AI, with tokenized deposits, intelligent payment orchestration, and real-time settlement creating new areas where AI models can deliver value. All of these require strong data foundations, modern technology, robust governance, and operational resilience.