With numbers to prove it.
Explore all use casesBatch systems missed fast fraud. Now, a central platform risk-scores 70% of national payments in under 10 milliseconds.
Agents manually checked data across scattered systems. AI now scans unstructured evidence in seconds, boosting fraud detection 6x.
Data limits slowed development. Now, Gemini spots scams and summarizes support calls, saving agents 8,000 hours a month.
Call filters missed scams hidden in images. Now, AI analyzes user screenshots and flags fraud risks in under 5 seconds.
Forensic analysis of 85,000 firms required 200 distinct models. AI now automates the logic, flagging fraud without manual checks.
Manual pivot tables missed complex fraud rings. A graph database now links scattered evidence, cutting investigations from weeks to minutes.
A 130% signup surge bottlenecked manual approvals for 24 hours. AI now crawls sites for risk, cutting onboarding to just 10 minutes.
Teams spent hours manually mining fraud data. Now, AI evaluates transactions in 10ms, pausing suspicious activity for review.
Analysts manually reviewed mountains of data for every alert. Now, AI agents summarize and verify facts, boosting efficiency by ~20%.
Understand what's working with 2,874 recent AI case studies with quantified results. We break down every case study the same way, so you can find and prioritize high-impact strategies for your exact context.