The future of finance is here, and it's powered by AI! Financial institutions are embracing a new era of customer engagement, and the potential is immense.
Three out of five banks and insurers are turning to AI agents to streamline customer onboarding, fight fraud, and process applications more efficiently. But here's where it gets controversial: while 33% of these firms are developing their own AI agents in-house, only 10% have successfully deployed them at scale. Nearly half of the financial institutions are creating new roles to supervise these AI agents, ensuring human oversight in this transformative process.
According to the Capgemini Research Institute's World Cloud Report in Financial Services 2026, the top processes for banks to leverage cloud-native, AI agents include customer service, fraud detection, loan processing, and onboarding. Insurers are following a similar path, with customer service, underwriting, claims processing, and onboarding leading the way. This shift is redefining what it means to be a financial services customer, offering precision, speed, and impact.
The report highlights that AI agents could generate up to $450 billion in economic value by 2028, an opportunity that financial services industries are eager to capitalize on. However, the journey is not without its challenges. Only 10% of firms have implemented AI agents at scale, indicating a significant opportunity for growth.
Banking and insurance executives identify customer onboarding, loan and claims processing, and underwriting as the most inefficient functions. They believe agentic AI can address these challenges with real-time decision-making, improved accuracy, and faster turnaround times. But it's not just about efficiency; AI agents are seen as capable of delivering real business outcomes, from expanding into new markets to maximizing revenue through dynamic pricing and multilingual support.
C-suite executives are investing heavily in AI, with nearly two-thirds allocating up to 40% of their generative AI budget towards agent technologies. By 2028, one-fourth of firms expect to increase their spending on AI agent solutions by up to 60%.
However, banks face lingering challenges to adoption, including a skills gap among leaders and employees and regulatory and compliance burdens. High implementation costs are also a barrier, leading some firms to consider a service-as-a-software model, where they pay for outcomes rather than licenses and infrastructure.
The combination of AI and cloud technology is transforming financial services, but it's a journey that requires careful navigation. As humans work alongside AI agents, financial institutions must separate substance from hype and take a long-term view to realize the full potential of this transformative technology. The question remains: Are we ready for this new era of human-AI collaboration?
