You’re in the middle of a critical product launch. Your agentic AI system has been managing customer feedback, routing high-priority issues to engineering, and even flagging potential PR risks before they escalate. Suddenly, your phone buzzes with a crisis alert. A customer complaint has gone viral, citing biased and unfair treatment, rooted in a decision made by your AI agent. Legal is demanding an immediate response. Your AI logs show no obvious errors. Your team scrambles to understand how the model reached this decision, only to discover gaps in documentation and oversight. You realize too late that your governance playbook was never fully implemented. Trust, both within your company and with customers, is at stake. And you’re left wondering: How did this happen?