How financial firms are managing AI compliance risk

1. 1. Artificial intelligence has moved beyond experimental pilots to become a critical component of core workflows, decision-making, and client interactions within financial services.
2. 2. A significant challenge for financial firms is the rapid pace of AI innovation, which often outstrips regulatory alignment and understanding of specific data protection needs.
3. 3. Regulatory approaches to AI are evolving by building on established foundations rather than creating entirely new frameworks, with a focus on outcomes and demonstrable controls.
4. 4. The use of AI to draft communications, summarize interactions, and generate insights is blurring the distinction between draft and record, complicating existing recordkeeping obligations.
5. 5. Employees are increasingly using unapproved AI tools in their daily work, known as "shadow AI," which introduces substantial risks related to data handling, output reliability, and oversight.
6. 6. The emergence of "Agentic AI," which can initiate actions and trigger workflows with limited human input, significantly raises the level of risk compared to generative AI.
7. 7. Effective governance is becoming the foundational strategy for financial firms to scale AI innovation while ensuring alignment with regulatory expectations.