An AI agent that only summarizes reports is low risk. An agent that can change bids, publish creative, edit tracking, email a customer, or modify a website is operating inside the business. That is a different category of system.
We think the useful design question is not “can the agent do this?” It is “under what conditions is the agent allowed to do this?”
Budget changes above a defined threshold
An agent can identify underspend, pacing problems, or an apparent opportunity. It can draft the proposed change and show the evidence. Material budget reallocations should still require approval. Thresholds should be explicit in dollars or percentages rather than left to the model's judgment.
External claims and public publishing
Anything involving product claims, pricing, promotions, legal language, regulated categories, public social posts, press outreach, or customer-facing copy should have a human review gate. Drafting can be automated. Accountability cannot.
Tracking and measurement architecture
Changing conversion definitions, tags, analytics configuration, attribution settings, or source-of-truth logic can silently corrupt months of reporting. An agent can flag problems and prepare a change set, but those changes deserve explicit review and an audit trail.
Deleting or overwriting business data
Destructive operations should be treated differently from additive ones. Creating a draft row is not the same as deleting a customer record. Bulk deletion, overwrite operations, schema changes, and permission changes should require confirmation and, where possible, a reversible backup.
Secrets, credentials, and permissions
An agent should receive only the access required for the task. It should not decide to broaden its own permissions, expose raw credentials to a model, or move sensitive data into a new system because doing so is convenient.
Anything the business cannot easily undo
This is the simplest rule. If a mistake would be expensive, public, destructive, legally consequential, or difficult to reverse, the agent should stop at a proposal and ask for approval.
The long-term opportunity is not a fully autonomous marketing department. It is a system where machines handle more of the repetitive observation, preparation, and execution while humans retain authority over the decisions that carry real consequences.
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