A Practical Implementation Guide Deploying generative AI across an investment bank isn't a simple software installation—it's a comprehensive transformation that touches everything from equity research workflows to risk management frameworks. After working through multiple GenAI rollouts in capital markets environments, I've learned that success depends on having a clear, executable plan before you write a single line of code or train a single model. This tutorial walks through building an Enterprise GenAI Blueprint tailored to investment banking operations. We'll cover the concrete steps needed to move from executive buy-in to production deployment, with specific examples from M&A advisory, trading operations, and client onboarding functions. Phase 1: Discovery and Use Case Prioritization (Weeks 1-4) Start by conducting structured interviews with stakeholders across your IBD, capital markets, and risk teams. Don't just ask "what problems do you have?"—observe actual workflows.…