Financial institutions are increasingly adopting generative AI (GenAI) applications to improve their operations and customer experiences. However, they must carefully control and optimize these applications due to the sensitive data and regulations in the industry. This article outlines strategies for managing GenAI applications in production, including using feature flags to mitigate risks, iterating on models and prompts with AI-specific feature flags, experimenting to improve performance, and personalizing features for different user segments. By incorporating these strategies, engineering leaders can unlock more potential from generative AI while ensuring safety and compliance.