What We Learned from Failed Implementations Last quarter, a mid-sized investment bank quietly shelved a $12M GenAI initiative after eighteen months of development. The technology worked—models were accurate, infrastructure was solid—but the project failed because no one addressed the human factors: equity research analysts didn't trust AI-generated insights, compliance officers couldn't audit the outputs effectively, and senior bankers refused to present AI-assisted materials to clients. This isn't an isolated incident. While success stories dominate conference presentations, the reality is that many enterprise GenAI deployments in financial services stumble or fail outright. Building a comprehensive Enterprise GenAI Blueprint helps avoid these pitfalls, but only if you learn from others' mistakes. Here are the most common traps I've observed—and practical strategies to navigate them.…