Progressive Delegation
A governance pattern where authority is granted incrementally based on demonstrated competence and trust, rather than assigned all at once.
Progressive delegation is the practice of granting authority in stages — starting with narrow permissions and expanding as competence and trust are demonstrated. It applies equally to human roles and AI agents.
Traditional authority models are binary: you either have permission or you don't. Progressive delegation introduces a gradient. A new team member might start with read-only access to governance data, progress to drafting decisions (with approval required), then to making decisions independently within defined constraints.
For AI agents, progressive delegation is essential. An AI assistant might begin in shadow mode (observing and suggesting but not acting), progress to supervised mode (acting with human approval), and eventually operate autonomously within well-defined constraint boundaries. Each stage requires demonstrated reliability at the previous level.
How Constellation handles this
Constellation implements progressive delegation natively — for both humans and AI agents. Authority expands as trust is earned, with constraints tightening or loosening based on demonstrated governance competence.