Governance constraints on AI autonomy aren't just overhead—they're a tunable design variable that can simultaneously improve performance and reduce human fatigue when properly calibrated for your domain.
HAAS is a framework for deciding which tasks humans and AI should handle in organizations. Instead of treating it as all-or-nothing, it uses governance rules and machine learning to adapt task allocation based on context, performance, and fatigue.