Sarah Tyler

The wealth management industry is undergoing a seismic shift as firms compete for client attention in an increasingly crowded marketplace. Traditional marketing approaches that once drove client acquisition and retention are no longer sufficient. As someone who has worked alongside portfolio managers and client relationship teams at several advisory firms, I have witnessed firsthand how marketing strategies have evolved from generic email campaigns to highly personalized, data-driven outreach that speaks directly to individual investor goals and risk profiles. The transformation accelerated dramatically when our team began exploring Generative AI Marketing as a way to address the mounting pressure from robo-advisors and fintech competitors. What started as a pilot project to automate client communications quickly became a comprehensive reimagining of how we engage prospects and existing clients throughout their investment journey. The First Experiment: Personalized Portfolio Commentar...

The retail banking industry has entered an era where traditional approaches to risk management, customer onboarding, and fraud detection are being fundamentally reimagined. Over the past three years, I've witnessed firsthand how institutions struggle—and occasionally triumph—when deploying advanced AI capabilities across core banking functions. The gap between pilot projects and production-grade systems has taught our industry invaluable lessons about what actually works when integrating intelligent automation into processes that handle billions in assets and millions of customer relationships daily. What we've learned about Generative AI in Financial Services comes not from vendor presentations or conference keynotes, but from the messy reality of transforming loan origination workflows, reimagining AML investigations, and rebuilding credit scoring models while keeping the lights on. These lessons carry weight precisely because they emerged from actual deployments at institut...