Chris Butler of GitHub makes a bold case that most enterprises are designing AI agents the wrong way. Instead of building agents that mimic job titles, he says leaders should build agents that create specific artifacts inside governed workflows. In this episode, he explains how that shift changes automation, trust, and cross-functional execution, and why the future of agentic AI belongs to teams that focus on outputs, not impersonation.