Engineering Friction: How Human-AI Orchestration Improves Decision Quality

AI systems typically defer to human direction without critical challenge, creating a silent consensus problem where practitioners accept outputs without scrutiny. Friction Engineering proposes deliberately structuring disagreement between specialized AI assistants and human orchestrators as a quality mechanism for governance and decision-making. This approach addresses a fundamental gap in AI collaboration: building the productive conflict necessary for sound architectural decisions at enterprise scale.