A broad-ranging AI strategy, underpinned by a robust technology platform, is crucial for driving substantial operational efficiencies.
By Andrea Petrovski, Senior Principal Strategist; and Larry Larmeu, Partner within KPMG
The financial services industry is grappling with a perfect storm of challenges. Persistent economic and political uncertainty, coupled with the likelihood of continued interest rate declines, has helped create a precarious operating environment. Compounding these issues is the relentless march of technological disruption, particularly in the realm of artificial intelligence (AI).
Navigating this turbulent landscape requires a balancing act. On one hand, financial services companies should be continually seeking to enhance their customer experience to fend off the threat posed by nimble fintech upstarts. On the other, they should be diligently managing costs and driving operational efficiencies to maintain profitability. This dual mandate has become a defining challenge for the industry, with a recent study by KPMG revealing that a staggering 53% of executives expect to cut costs by at least 10% by 2030, but only 24% have been successful in achieving cost reduction goals.
Cost management has emerged as a critical focus area, with many financial services firms exploring various strategies to optimize their operations. Some are embracing traditional shared services models, consolidating back-office functions to leverage economies of scale. Others are pursuing Global Business Services (GBS) models, which involve centralization and strategic outsourcing of noncore activities.
Related