Retail Banking Group
- Reduction in Fraud Losses
- 45%Reduction in Fraud Losses
- Faster Fraud Detection
- 60%Faster Fraud Detection
- Lower False Positives
- 30%Lower False Positives
The Challenge
Fraud patterns shifted faster than the rule engine could be updated.
Fraud patterns change every few weeks. Core systems are old and hard to read from. RBI rules and KYC checks add work at every step, while clients now expect an answer in minutes.
What We Built
We ran ML scoring beside the rule engine, with alerts to the fraud desk.
Fraud Detection AI
Score each transaction as it happens and flag the odd one.
Credit Risk Modelling
Judge credit risk with the reasons behind each score.
Intelligent Document Processing
Pull fields from statements, forms and contracts, with a check on weak reads.
AML & Compliance AI
Watch accounts and payments for AML and KYC risk.
The Outcome
Stronger Risk Management
See risk while you can still act on it.
Operational Efficiency
Less keying, fewer handoffs, and a shorter turnaround on files.
Better Customer Experience
Quicker sign-up, fewer repeat questions, and reasons the client can follow.
Cost Savings
Lower fraud loss, less review by hand, cheaper audits.
