Approvals and Autopilot overview

Governance in MagikBull is not a bolt-on checkbox. It is the mechanism that makes AI-native workflows safe enough to run in real accounts with real budgets.

Approvals: make queues short and decisive

High-impact proposals should land in a review queue with clear actions: approve, reject, or request revision. The goal is predictable latency—queues that stall erode trust faster than conservative defaults.

Autopilot: scope, caps, kill switches

Autopilot executes classes of actions you pre-authorize. Keep scope tight early, and ensure workspace-wide pause paths are obvious to on-call owners.

Auditability is part of the UX

Teams should be able to answer “who initiated this change, and why?” without opening a ticket. Audit trails and AI action history are first-class navigation targets—not buried exports.

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