United StatesFinance and insurance2022 – ongoing

Chime Financial

Proprietary AI and ML fraud-risk decisioning

Chime said proprietary AI and ML helped reduce fraud loss rates by 29%

WorkingCompany's own claimOfficial ↗

Problem

Chime needed to detect suspicious activity during account opening and ongoing transactions. Fraud exposed members and the business to financial losses.

Approach

Chime built an internal risk-decision platform using first-party customer data and external information. Proprietary AI and ML models complemented human fraud teams, real-time monitoring and authentication tools. Chime attributed part of its fraud-loss improvement to these models.

Results

29%decline in fraud loss rates between the year ended December 31, 2022 and the year ended March 31, 2025, according to ChimeCompany's own claim[1]

Takeaway

The reported reduction covered the wider fraud-control operation. Chime did not isolate the contribution of AI from human teams and other controls.

Sources

Form S-1/A, Amendment No. 1
Chime Financial2 Jun 2025Company publication

Source summaries

[1]Chime Financial2 Jun 2025

Chime described its internal risk platform and deployed fraud models. It said proprietary AI and ML helped reduce fraud loss rates by 29% across the stated comparison periods.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026