Deploy agents capable of real-time fraud detection, automated risk modelling, and regulatory reporting—with full audit trails for every decision.
↓60% false positives (toward ↓80%) and ↑50% true positives
Save 15–20 hours/month on SOX & internal controls evidence work
Reduce cloud spend up to 20–30% with effective FinOps practices
↓60%+ alerts and 2–4× higher true positives in ML-based AML scoring
Validation materially cuts rework loops from 4–650 errors per 10,000 fields
Impact ranges are drawn from published benchmarks, peer-reviewed studies, and case studies; outcomes vary by process design, data readiness, and adoption.