Who gets to define an AI agent's intent?

Airlock is presented as a framework for governing AI agents by combining a clearly defined task intent with an organization’s standing permissions and policies, ensuring that broader assignments do not grant authority beyond established rules. Task descriptions should specify the agent’s purpose, relevant timeframe, resources, and intended effects, such as identifying duplicate charges and issuing refunds, while leaving the agent flexibility to determine the operational steps needed. Identity, permissions, and policy must be managed independently of the task text, since an assignment cannot prove a requester’s authority or override restrictions such as limits on sharing financial data by email. Examples involving Linear, Gmail, billing searches, refunds, and blocked emails illustrate that decisions depend on the proposed action’s content, the stated objective, and applicable policy rather than simply on connected tools. Organizations are encouraged to test task clarity with realistic actions, record legitimate scope changes, and verify that rewording a denied request does not bypass enforcement.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.