Enterprise AI
A major financial institution
Fraud caught as it happens, and 25% less of it
- Financial Services
- Client under NDA
- Global
- 25%
- Fewer fraudulent transactions, caught in real time
Fraud was growing and getting more sophisticated, and rule-based checks could not keep up. The institution was losing money and customer trust.
What we did
We studied past transactions for the patterns that marked fraud, then built one feature store from transaction data, customer profiles and external sources. Models were chosen against a held-out validation set. Scoring and alerts run in real time inside the bank's existing systems.
Related work
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Kotak Securities' mobile order flow went from eleven taps to three, and conversion on it rose 400%.
76%
Faster from first tap to completed order
- A manufacturing group
Manufacturing/Client under NDA
A manufacturing group lowered supply chain costs 20% with demand and inventory forecasts that feed its ERP.
20%
Off supply chain costs, with shorter lead times
- A metropolitan transit network
Government & Public Sector/Client under NDA
A metropolitan transit network's voice line now resolves 70% of calls without a person, in eleven languages.
70%
Calls resolved without a person
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