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I worked as a PM for a startup that makes software to help review appraisals, and there's absolutely no question that stuff gets missed by humans in appraisal review as well as the rest of the underwriting process.

Every organization is built around tradeoffs between time (which is very much money here) and quality. You route appraisals to people of different skill levels depending on the likelihood of issues and the likelihood that those issues matter. With appraisals, for example, if buyer's putting down 40% where only 20% is required, you check only the super critical stuff, because even if you're meaningfully off on the appraised value it doesn't actually matter that much.

There are a ton of these tradeoffs of whether you should review something as well as whether you should have your most senior people review it. On top of that, reviewers are judged on speed, so naturally they're making tradeoffs of accuracy vs. time themselves on each review.

Using AI means you're able to review things that wouldn't even have been looked at otherwise, because there's no longer a tradeoff of time/cost vs. accuracy. Even the world's best reviewer can't catch things they're not looking at.




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