Case Study: IFFCO Tokio General Insurance saves over $1M annually on fraud with H2O.ai

IFFCO-Tokio Saves Over $1M Annually on Fraud with H2O.ai

IFFCO Tokio General Insurance, a joint‑venture insurer serving about 10 million customers in India, faced a surge of motor and health claims (over 2,000 motor claims per day) and struggled to detect fraudulent cases efficiently. To tackle this, IFFCO Tokio General Insurance partnered with H2O.ai and used the H2O.ai Cloud platform and automated machine‑learning tools (deployed on‑premise) to build fraud‑detection models suitable for a small in‑house team.

Using H2O.ai’s models that score each claim from 0–1 to flag suspicious activity, IFFCO Tokio General Insurance deployed fraud detection for motor claims and later for health claims, enabling claim officers to focus investigations and speed up genuine claim processing. The system detects 100+ confirmed fraudulent claims per month, is projected to save over $1M USD (~70M INR) annually, and has contributed to a 3% lift in customer retention during the trial — outcomes IFFCO Tokio General Insurance attributes to H2O.ai’s accessible platform and support.

IFFCO Tokio General Insurance

Seema Gaur

Chief Information Officer and Head of IT