Fraud in auto insurance is often treated as a downstream problem, investigated after a claim is filed. But the real opportunity lies much earlier.

In this episode of A CGI Conversation, we explore how insurers are shifting from reactive detection to proactive, lifecycle-wide prevention. From underwriting and pricing to claims and governance, this discussion examines how data, analytics, and better validation are enabling more targeted and effective fraud strategies.

In this episode, you’ll learn: 

• Why fraud risk originates early in the policy lifecycle
• How misrepresentation impacts pricing accuracy and loss ratios 
• Why a small subset of policies drives outsized losses
• How targeted validation at quote and bind improves risk control
• How insurers can understand the value of prevention

Featured speakers 

Santiago Vilasis, Director, Advanced Analytics & AI, Insurance

Raman Sharma, Director, Consulting IP, Insurance Data, Advanced Analytics & AI Products

Host: Derek Marinos, Manager, Communications and Media Relations – Canada