Financial institutions are increasingly establishing dedicated roles to supervise AI agents, as the use of “agentic AI” grows rapidly. According to a report by Capgemini Research Institute (based on a survey of 1,100 financial-services executives), nearly 50 % of banks and insurers are creating jobs specifically to oversee AI-agent operations.
The most common use cases for agentic AI in banking include customer service (used by 75 % of firms surveyed), fraud detection (nearly 66 %), and loan processing / customer onboarding (60 %).
The report estimates that agentic AI could generate up to US $450 billion in economic value across the financial services sector over the next three years, highlighting the business imperative behind this push.
However, scale remains a barrier: while 80 % of firms are in ideation or pilot stages, only about 10 % have implemented agentic AI at scale. Major hurdles cited include a skills gap (92 % of banks) and regulatory/compliance concerns (96 % of banks) about deploying AI agents.
In essence, banks are moving beyond just building AI tools—now they’re building roles, governance and oversight, acknowledging that deploying AI agents safely and effectively requires human supervision, skillsets and frameworks. The “AI supervisor” role is emerging as a critical bridge between technology, business operations and risk management.
