Here's how it goes. Deadline's two weeks out. You're staggering campaigns, chasing the three people who haven't opened the queue yet, and answering "wait, what am I approving here?" from a manager who got 200 rows and zero context. They approve everything. You file the report. Ninety days later, you do it again.

"We used to call it attestation fatigue. Everybody would just select all approve." That's not a reviewer problem. It's a queue problem. When every row looks the same, every row gets the same answer. The review technically happened. The risk didn't move.

Meet Paladin. Opal's access AI triages the queue before your reviewers ever see it — handling the routine 90% with a full audit trail and surfacing the 10% that actually needs a human, with the evidence to make that call count. No select-all. No chasing. A trail your auditor can follow. And because Paladin shows its work and the human stays in the loop, every decision is defensible. This isn't AI doing the review for you. That's compliance theater with a faster processor.

Come see it on real reviews, plus a first look at what's coming as AI agents and non-human identities start showing up in your scope — because that queue is about to get a lot more interesting.