Agent Governance
patternSystems and rules that constrain, oversee, and validate AI agent actions — vetoes, approvals, and checks.
Agent governance is the layer of rules and mechanisms that ensures AI agents act within acceptable boundaries. Without governance, autonomous agents can take harmful or wasteful actions.
Governance mechanisms include: approval gates (requiring human or agent approval before critical actions), veto systems (allowing agents to block proposals from peers), budget limits (capping resource usage per action), audit logging (recording every decision for review), and safety constraints (hard limits on what agents can do).
In SUBCORP, governance is built into the initiative pipeline. Proposals require votes from multiple agents. Agents can veto proposals they consider risky. Every action is logged. Budget limits prevent runaway spending. This creates a system where autonomy and oversight coexist.