Every year, 30–40% of health insurance claims costs in Asia-Pacific are lost to fraud, waste, and abuse (FWA). For many insurers, that’s billions quietly leaking away, often through collusion networks that manual reviews and rules-based systems never catch.
Your competitors are already moving fast with AI and graph-powered detection. The question is: will you be the one left paying for fraud you could have stopped?
This exclusive webinar reveals how Digital Alchemy, Neo4j, and Linkurious are helping leading insurers cut fraud costs, protect revenue, and restore trust in claims.
Stop paying for fraud you don’t see. Learn how graph technology uncovers collusion networks invisible to traditional tools.
Protect margins now, not later. AI-driven fraud detection that delivers ROI from day one.
See what leaders are doing. Zurich Insurance reduced fraud case triage time by 30%, freeing investigators to focus on real fraud.
Act before it’s too late. Fraud rings in ASEAN are only growing stronger — waiting means higher losses.
A proven framework for fraud detection that’s faster and lower-cost to deploy
Real-world case study: measurable ROI from Zurich Insurance
Demo of the Health Claim Fraud Accelerator in action
Practical steps to reduce leakage and speed up claims for honest members
| Time | Details |
|---|---|
| 2.00 – 2.05 | Welcome & Introductions – Chris Tew, Country Lead ASEAN |
| 2.05 – 2.20 | The Fraud Challenge in Health Insurance – Niraj Prasad |
| 2.20 – 2.40 | The Fraud Accelerator Solution (Demo) – Saurabh Rana / Saunvida Sawant |
| 2.40 – 2.50 | Case Study: Zurich Insurance – Jean Villedieu |
| 2.50 – 3.00 | Q&A + Next Steps – Moderated by Digital Alchemy |
Chris Tew – Country Lead ASEAN, Digital Alchemy
Niraj Prasad – Head of Insurance Solutions, Digital Alchemy
Saurabh Rana & Saunvida Sawant – Fraud Solution Experts, Digital Alchemy
Jean Villedieu – Chief Revenue Officer, Linkurious
Seats are limited for this ASEAN-focused session.
Don’t miss the chance to see how insurers like Zurich are already fighting fraud more effectively.
