AI that suggests the work vs AI that does the work, where does your team draw the line?

by•

There is a category distinction that does not get talked about enough.

Most AI tools in the GTM space are suggestion engines. They produce a draft, a recommendation, a report, a list of next actions. The work still lands on a person to execute.

A smaller category of tools actually attempt to execute: send the email, publish the post, update the CRM record, spend the budget.

For teams using AI in GTM right now, where do you draw the line between:

- AI I trust to run autonomously

- AI that needs to queue for my approval before any external action

- AI I only use for drafts and suggestions

And is the line in the same place for all actions, or does it shift depending on what the action is and who it touches?

15 views

Add a comment

Replies

Best
I thought a lot about this question. The answer is genuinely non trivial. Some people will be more willing to trust an AI to really act on their behalf. On the other side, most people would need to build trust (seeing what the AI would do) before accepting the action. On either way, the harness around the AI is one of the key elements that ensures the trust is not lost along the way. It takes time to build trust but it only takes one mistake to lose it.