Imagining the future of banking with agentic AI

Agentic Ai is getting older. And with that have new opportunities in the financial services sector. Banks are increasingly using agents -KI to optimize processes, control complex systems and through large amounts of unstructured data to seven to make decisions and measures - with or without human participation. "With the maturation of the agent AI, it becomes much more technologically possible for a large-scale process automation that was not possible with rules such as robot process automation beforehand," says Sameer Gupta, Americas Financial Services AI manager at EY. "This moves the needle in terms of costs, efficiency and customer experience." Agentic AI has the potential to change the customer experience from the answering of customer issues about the automation of loan permits, adaptation of invoice payments to the regular salary checks or the extraction of the most important conditions from financial agreements - and also the functionality of financial institutions. Download the report that adapts to new and emerging technologies such as Agentic Ai for the survival of an organization, says Murli Buluswar, head of the US bank analysis at Citi. "The ability of a company to use and explore new technical skills how his company works will make up the difference between the successful companies and those who are left behind," says Buluswar. "Your people and your company have to recognize that the way you do your work will make sense." The aspiring landscape agent is quickly accepted in the banking sector. A survey of 2025 under 250 banking transactions of Technology Review Insights showed that 70%of managers indicate that their company uses the agentic AI to a certain extent, either by existing deployments (16%) or by pilot projects (52%). And it is already effective in a number of different functions. More than half of the managers say that agents -KI systems are able to improve fraud detection (56%) and security (51%). Other strong use cases are the reduction in costs and the increase in efficiency (41%) and the improvement of the customer experience (41%). Download the report. This content was created by insights, the user -defined content of the with technology check. It was not written by the editorial staff by Technology Review. It was researched, designed and written by human writers, editors, analysts and illustrators. This includes writing surveys and the collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed a thorough review of human review.