Build a Custom Fraud Dashboard Using AI in Minutes

window.awbMockup = { rulePerformance: "Build a fraud rule dashboard showing each active rule with alerts triggered, confirmed fraud caught, false positive rate and the legitimate value blocked, rules firing frequently with almost no confirmed fraud, rules that have not fired in 90 days, overlap where several rules catch the same cases, and the net value each rule protects.", reviewQueue: "Build a fraud operations dashboard showing cases awaiting review by risk score and age, cases breaching your review time target, analyst decisions per hour and approval rate by analyst, cases auto approved and auto declined against those reviewed, queue volume against available review capacity, and cases escalated for investigation.", fraudLoss: "Build a fraud loss dashboard showing confirmed fraud value by type, channel and payment method, loss as a share of transaction volume against target, chargebacks by reason with recovery outcomes, loss by customer tenure and geography, first party against third party fraud, and losses that passed every active rule.", falsePositives: "Build a fraud friction dashboard showing legitimate transactions declined or challenged, the revenue value of those declines, customers who abandoned after a challenge, false positive rate by segment and payment method, good customers repeatedly flagged, and the revenue recovered by relaxing a specific rule."};