Generative AI Governance in Finance: SR 26-2 Compliant Framework

The recent regulatory update SR 26-2 has brought a significant change in model risk management within the financial sector, replacing the previous SR 11-7 framework with a more risk-based and materiality-focused approach. However, one aspect that has sparked debate is the explicit exclusion of generative artificial intelligence and AI agents from the formal scope of supervision. This does not mean these technologies fall outside regulated processes; on the contrary, their influence extends to tasks such as interpreting regulations, analyzing policies, or drafting communications related to credit decisions. Even if they do not directly participate in risk estimation, their outputs can condition the control environment, forcing financial institutions to design specific governance frameworks. In this context, having a practical approach that integrates the principles of SR 26-2 without treating generative AI as a traditional model is essential. From a technical perspective, institutions can benefit from artificial intelligence for businesses solutions that allow auditing and documenting workflows where natural language is involved. The implementation of AI agents capable of operating under predefined rules and with traceability logs is a key step to align innovation with supervisory expectations. Q2BSTUDIO, as a software development and technology company, offers custom software and custom applications that enable building governance platforms tailored to these requirements. Additionally, integration with AWS and Azure cloud services facilitates process scaling and security, while cybersecurity solutions ensure the protection of sensitive data. To monitor the impact of AI on internal control, business intelligence services with Power BI offer dashboards that reflect regulatory compliance in real time. Ultimately, generative AI governance in finance should not be seen as an obstacle, but as an opportunity to strengthen trust and transparency, relying on technology partners who understand both regulation and technical aspects.