Beyond Blame: Building Resilient AI Systems Through Lean Design

As organizations increasingly rely on code-generating AI, traditional accountability approaches that blame individuals prove ineffective—machines cannot be held responsible for their actions. The article advocates for lean manufacturing principles in AI systems: designing robust processes that prevent errors structurally rather than demanding individual perfection. This shift from individual accountability to systemic design is fundamental for AI-adopting teams, redefining how organizations approach quality and responsibility.