Financial institutions deploying this kind of identity threat detection typically target 30-50% reductions in manual compliance workload within 60 days - analysts shift from alert triage to genuine threat investigation. The working targets, set as benchmarks up front: false-positive rates fall far enough that each analyst gets back 12-18 hours a week, and loan origination accelerates because identity verification clears in minutes instead of days. Fraud detection improves for a mechanical reason - the system correlates signals across siloed systems that manual review physically cannot, which is exactly where account takeover hides.
ROI compounds over 12 months as the model matures. The planning math is simple: put your own numbers on freed analyst hours, recovered origination days, and prevented fraud losses. One worked example, stated as an assumption - a 0.3% net interest margin improvement on a $150M loan portfolio is $450K a year in incremental revenue. We set these targets with your team in the first weeks and measure against them, rather than promising a return multiple no vendor can honestly guarantee.