Can you show how your last AI decision was reviewed?

The problem

Agents route critical decisions with no paper trail in either direction. A person may sit in the loop on paper, but whether they knew the decision in front of them carried more risk than the ten before it usually goes unrecorded.

That is the gap a board, an insurer or a regulator can ask about, and a click on an approve button does not answer it.

The record to look for

Pick one real decision from last week

decision

unrecorded?

why_a_human

unrecorded?

which_human

unrecorded?

what_they_were_told

unrecorded?

what_they_changed

unrecorded?

If you can fill in every line, your oversight is working. If you cannot, that is where we start.

Three questions for your team

1. Take the last AI-assisted decision a person reviewed. Why was a human involved at that point?
2. Was it the right person, and did they know it carried more risk than the ones around it?
3. If someone asked how that decision was overseen, what record would you show?

See it in your own workflow

• Insurance claims

  Six stages, where the human sits, and where high-risk decisions slip past review.

• Hiring

  The same map for an AI-assisted hiring funnel.

• Any other workflow

  The AI Oversight Score, a self-assessment that shows your weakest point.

What a founding audit covers

• One workflow, mapped: every point where an agent hands a decision to a person.
• Each handoff scored on the five signals of the Checkpoint Scale.
• Where a decision should reach a different human, and where reviewers need to be alerted.
• Findings at team level. No individual is scored, ranked or named.