Luxembourg
Motor insurers lose billions every year to organised fraud. Not because they are careless. Because fraud today operates in networks. One garage. Two surveyors. Thirty-four policyholders. All connected. All filing claims that look completely normal, one at a time. Every fraud tool in the market was built to look at one claim at a time. That is not a flaw. That is what they were designed to do. They were just never designed to see what sits underneath — the entity layer connecting your garages, surveyors, agents, and policyholders to each other across hundreds of claims. That layer does not exist in your CMS. It does not exist in your rule engine. It does not exist in any system you currently run. That is what we built Aurastack to create. We take your existing claims data and build the entity network your systems were never designed to have. Every garage, every surveyor, every agent and policyholder — resolved, connected, and mapped. The fraud rings that have been running in your book for months or years become visible. Named. Quantified. With a documented evidence trail your team can act on. What we found in one motor insurer's data: 1 garage, 34 policyholders, 2 surveyors, Rs 1.8 crore in settled claims. Zero flags from the existing rule engine. That network was sitting in their data the entire time. If you are a Head of Claims or CRO at a motor insurer and your loss ratio is not moving despite having a fraud team, I want to show you what is sitting in your book right now. Connect or message me directly.
Aurastack deploys AI agents across Insurance, Banking, Lending, and Asset Management. Claims processing, loan origination, KYC verification, portfolio ops. All configured through conversation. No engineers. No 18-month implementations.
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