As organizations across the globe continue to explore the potential of artificial intelligence, a new trend is emerging in the finance sector: the deployment of agentic AI systems designed to deliver immediate business returns. However, according to recent findings, the path to realizing these benefits is not straightforward. A survey conducted by FT Longitude has revealed that while many finance leaders are experimenting with AI agents, only a fraction are successfully integrating them into core business operations with measurable ROI.
Current State of AI Adoption in Finance
The FT Longitude survey of 200 finance executives from the US, UK, France, and Germany found that 61% of organizations have implemented AI agents primarily as experimental initiatives. This suggests that while the technology is gaining traction, its practical application remains limited. Furthermore, one in four executives admitted they do not have clear targets for return on investment, indicating a lack of strategic planning in AI deployment.
Governance and Strategic Implementation
Industry experts emphasize that the key to successful AI integration lies in governance and defined objectives. Without strict oversight and well-articulated ROI goals, finance AI systems risk becoming isolated tools that fail to drive meaningful change. The transition from experimental to strategic AI deployment requires a clear understanding of business needs, robust data management, and continuous monitoring to ensure that AI agents are delivering value in real-time.
Looking Ahead
As financial institutions grapple with increasing complexity and the demand for operational efficiency, the deployment of agentic AI systems will likely become more sophisticated. Organizations that successfully align AI implementation with strategic business goals and maintain strong governance frameworks will be best positioned to reap the full benefits of these technologies.
