What an AI Agent Should Be Allowed to Write

Read access is not the same as write authority.

Many AI workflow designs become risky when teams skip from “the model can understand the context” to “the model should update the system.” Those are different permissions.

An AI agent should only write when the action is narrow, explicit, observable, and governed.

Safer write patterns

Good early write permissions often look like:

• Draft a response for review.
• Add an internal note.
• Propose a routing tag.
• Create a task in a review queue.
• Fill a structured worksheet.
• Update a sandbox or staging artifact.

Riskier write permissions include:

• Send an external message.
• Close a customer issue.
• Approve a quality decision.
• Modify a system of record.
• Change pricing, shipment, refund, or safety status.

Translate this to your workflow

Start by separating draft, recommend, and execute.

The first two are often useful early. Execution should require explicit controls, logging, and a reason why the action is reversible or low consequence.

Verdify captures this in the Boundary Matrix and validates it during the Verified AI Operations Audit.