The grace period is ending.
“A human reviews everything” is a claim. Your next enterprise buyer is going to ask for the evidence.
For the past two years, enterprise procurement had a simple checkbox for AI risk: is there a human in the loop?
The vendor said yes and shipped a review screen and an Approve button. The deal moved forward.
Buyers, insurers and regulators are figuring out that putting a human in front of a screen doesn’t mean anyone is actually checking the work.
The EU AI Act already calls this out plainly. Under its human oversight provisions, providers of high-risk systems are required to specifically address automation bias: the tendency of human reviewers to automatically over-trust and anchor on the output of a model.
Pointing to an Approve button in your demo isn’t going to pass security and compliance anymore. The next question from procurement is now: how do you prove your reviewers are actually catching mistakes?
Most systems obscure how errors slip through and the person who clicked the button carries the blame.
Do you have any evidence your review step is working as promised?