Skip to content
FQ AI Summit 2026

Mark Where Approval Is Needed in a Chain of AI Tasks

My notes from attending the FQ AI Summit in New York, November 10, 2026.

Parallel AI Workflows and Human Overrides

How do we keep a sequence of AI tasks from making an unapproved commitment?

Mark every step in a chain of AI tasks that changes something outside the workflow, like sending a message. Those steps need authorization, and a later step should never treat an earlier draft as proof that someone approved it.

The Power Shift notes described work moving across connected tasks. When one step hands its result to the next, a draft can turn into an action unless the boundary is explicit. Preparing proposed text or a comparison is a different thing from sending something out.

For each action, write down the authority it needs and the information that has to be checked. Then test what happens when approval is missing or the parameters change. The workflow should hold the affected action and keep the prepared work, and it shouldn't choose a new recipient, amount or destination on its own.

Confirm the final result through the system that owns it. A message saying another step succeeded is evidence to inspect and doesn't replace the verification. Connected work needs clear boundaries because its parts can move faster than a person can casually follow.

What to try this week

Draw one connected workflow on paper and circle every step that sends something out or changes a record.