Draft, approve, send. Is the human-in-the-loop model the right default for AI GTM actions?

There is a design decision underneath every AI GTM tool that does not always get made explicit.

Option A: AI runs actions autonomously. You review logs after.

Benefit: maximum throughput.

Trade-off: mistakes happen before you can catch them.

Option B: AI prepares actions, queues for approval, executes after sign-off.

Benefit: you still have the decision, AI handles the execution.

Trade-off: requires trusting AI with write access to your tools.

Option C: AI advises. Humans decide and execute.

Benefit: full control, AI does the thinking.

Trade-off: you are still doing all the execution manually.

My current thinking: for anything that reaches a customer or spends real money, Option B is the right default. Not because AI cannot get it right, but because the cost of a mistake at scale is not proportional.

What is your team's actual preference, and has that preference changed after a specific experience?