When GenAI Breaks, Rigorous Orchestration Keeps It Running

While only 5% of generative AI pilots reach production, most failures stem from organizational readiness rather than technical issues. GenAI systems require cross-functional collaboration between data scientists, engineers, compliance officers, and risk managers due to their complex nature that differs from traditional linear ML pipelines. Success demands rigorous orchestration with human oversight, continuous monitoring, and "red teaming" to stress-test systems before deployment. Organizations must establish clear governance frameworks and involve compliance teams from the beginning to manage risks like hallucinations and unpredictable behavior.