Verify Then Trust in AI Finance

96% of finance leaders are all-in on AI. 77% don’t trust it. That’s not a gap. That’s a fault line. In finance, you don’t get the luxury of being “mostly right.” One confident mistake—a fabricated clause, a flawed number, an untraceable output—can ripple into real consequences. And AI, for all its power, doesn’t think in certainty. It predicts. So the old model—trust, then verify—is quietly breaking. In this episode of Digital Ledger, we get into what replaces it: verify, then trust. Not as a slogan, but as a system. A shift in controls. A redefinition of accuracy. And a hard look at why “responsible AI” might be the most undervalued asset on your balance sheet. Because in this next phase of finance, trust isn’t given. It’s engineered.