A framework for understanding how an organization distributes people decisions, problem and priority decisions, budgets, and capacity—and for seeing what a manager of managers can decide, negotiate, or escalate.
Short
7 min read
Part of the column “Managing Managers & Multi-Team Outcomes” · Chapter 2
A position paper based on the author's experience driving AI infrastructure and pilots in a real engineering organization: it proposes four kinds of boundaries—context, responsibility, authorization, and measurement—and offers a falsifiable pilot protocol plus a minimal harness as a demonstration of putting them into practice.