Edith Heroux

Investment banks are moving beyond experimental AI pilots into full-scale production environments where generative models handle everything from equity research synthesis to regulatory compliance documentation. The mechanics of this transformation reveal a far more complex undertaking than simply purchasing software licenses and flipping a switch. Enterprise GenAI Deployment in the investment banking context requires orchestrating infrastructure across trading floors, risk management systems, and client-facing platforms while maintaining the stringent controls that regulators and internal audit teams demand. The operational reality of Enterprise GenAI Deployment begins with architecture decisions that most banks confront within their first planning quarter. Leading investment banks architect their GenAI infrastructure around three distinct layers: a foundational model layer hosting either proprietary or commercial large language models, a middle orchestration layer managing prompt eng...